Deniz Appelbaum is a Ph.D. candidate in accounting at Rutgers University School of Business. She has published several papers on topics related to data analytics, auditing, and emerging technologies. Her research interests include data analytics, external auditing, fraud detection, and emerging technologies such as blockchain. She has taught auditing courses at Rutgers and received high teaching evaluations.
KDD 2019 IADSS Workshop - Leveraging data and analytics for company results -...IADSS
The document discusses how Ariel Analytics helps companies leverage data and analytics to improve business operations and profitability. It provides an overview of common operations challenges such as legacy systems, data quality issues, and a lack of analytics experience. The document then outlines strategies for addressing these challenges, including implementing business intelligence solutions, improving data warehousing and processes, and training or hiring staff with analytics skills. It also discusses developing an analytics team and capabilities over time, from foundational descriptive analytics to more advanced predictive and prescriptive solutions.
The document discusses data analytics salaries and trends. It reports that the average salary for analytics professionals in India is 9.4 lakhs per year and has increased 21% from the previous year. Salaries vary across experience levels and cities, with entry-level professionals in some cities commanding over 6 lakhs and more experienced professionals seeing even larger salary increases.
This document provides information about the Data Analytics Club at Simon Business School. It outlines the club's objectives of facilitating learning about data analytics and representing the school through events and competitions. It describes upcoming events for the academic year including workshops, guest lectures, company visits, and a tech trek. Projects that students can work on are presented, focusing on topics like demand modeling for a potential vanpool program and analyzing a city survey. Leadership board positions and how to apply for membership in the club are also mentioned.
This document summarizes a presentation on people and HR analytics. It defines people analytics as using people-related data to optimize business outcomes. HR analytics uses statistical methods and multiple data sources to gain insights into workforce dynamics. The presentation recommends segmenting data, integrating people data with business metrics, and communicating findings clearly. It also describes a certificate course that teaches HR professionals how to develop analytical models, use tools like Excel for analysis and visualization, and apply an analytics process model to measure outcomes like employee satisfaction.
Danielle Anderson has experience in digital/social media, project management, editing, and writing. She has held editorial and content curation fellowships at The Create Daily and Blavity where she wrote and developed original content, managed social media, and moderated online forums. Anderson has also worked as a project manager for the American Cancer Society, managing fundraising events and increasing department productivity by 65%. She has skills in SEO, social media strategy, content development, and project management.
The document provides a summary of Lang Zhou's qualifications and experience. Zhou has a Ph.D. in Statistics from the University of New Mexico and currently works as a Senior Research Statistician at AbbVie Inc. Zhou has over 5 years of experience in both R and SAS programming and provides statistical support for clinical trials.
JU Analytics Day Presentation by Naveen Agarwal, Creative Analytics Solutions...Naveen Agarwal
This document discusses opportunities and challenges in big data analytics for professionals. It begins with an introduction by Naveen Agarwal about himself and his work at Johnson & Johnson Vision Care analyzing big data. The document then covers topics like what constitutes big data, why big data potential has been difficult to realize, assessing an organization's maturity with big data, and case studies of analytics projects at J&J Vision Care addressing questions in areas like product quality, sales forecasting, and cannibalization. It also discusses roles for data professionals like business analysts, data scientists, software engineers and the skills required for these roles.
KDD 2019 IADSS Workshop - Leveraging data and analytics for company results -...IADSS
The document discusses how Ariel Analytics helps companies leverage data and analytics to improve business operations and profitability. It provides an overview of common operations challenges such as legacy systems, data quality issues, and a lack of analytics experience. The document then outlines strategies for addressing these challenges, including implementing business intelligence solutions, improving data warehousing and processes, and training or hiring staff with analytics skills. It also discusses developing an analytics team and capabilities over time, from foundational descriptive analytics to more advanced predictive and prescriptive solutions.
The document discusses data analytics salaries and trends. It reports that the average salary for analytics professionals in India is 9.4 lakhs per year and has increased 21% from the previous year. Salaries vary across experience levels and cities, with entry-level professionals in some cities commanding over 6 lakhs and more experienced professionals seeing even larger salary increases.
This document provides information about the Data Analytics Club at Simon Business School. It outlines the club's objectives of facilitating learning about data analytics and representing the school through events and competitions. It describes upcoming events for the academic year including workshops, guest lectures, company visits, and a tech trek. Projects that students can work on are presented, focusing on topics like demand modeling for a potential vanpool program and analyzing a city survey. Leadership board positions and how to apply for membership in the club are also mentioned.
This document summarizes a presentation on people and HR analytics. It defines people analytics as using people-related data to optimize business outcomes. HR analytics uses statistical methods and multiple data sources to gain insights into workforce dynamics. The presentation recommends segmenting data, integrating people data with business metrics, and communicating findings clearly. It also describes a certificate course that teaches HR professionals how to develop analytical models, use tools like Excel for analysis and visualization, and apply an analytics process model to measure outcomes like employee satisfaction.
Danielle Anderson has experience in digital/social media, project management, editing, and writing. She has held editorial and content curation fellowships at The Create Daily and Blavity where she wrote and developed original content, managed social media, and moderated online forums. Anderson has also worked as a project manager for the American Cancer Society, managing fundraising events and increasing department productivity by 65%. She has skills in SEO, social media strategy, content development, and project management.
The document provides a summary of Lang Zhou's qualifications and experience. Zhou has a Ph.D. in Statistics from the University of New Mexico and currently works as a Senior Research Statistician at AbbVie Inc. Zhou has over 5 years of experience in both R and SAS programming and provides statistical support for clinical trials.
JU Analytics Day Presentation by Naveen Agarwal, Creative Analytics Solutions...Naveen Agarwal
This document discusses opportunities and challenges in big data analytics for professionals. It begins with an introduction by Naveen Agarwal about himself and his work at Johnson & Johnson Vision Care analyzing big data. The document then covers topics like what constitutes big data, why big data potential has been difficult to realize, assessing an organization's maturity with big data, and case studies of analytics projects at J&J Vision Care addressing questions in areas like product quality, sales forecasting, and cannibalization. It also discusses roles for data professionals like business analysts, data scientists, software engineers and the skills required for these roles.
This document is a resume for Rishi S. Reddy, who is pursuing a Bachelor of Science in Economics from the University at Albany with expected graduation in December 2016. He has maintained a 3.80 GPA and has received Dean's list honors. His relevant coursework includes Intermediate Microeconomics and Introduction to Data and Databases. He has internship experience with the Minority Business Development Agency and the College of Nanoscale Science and Engineering, and has held teaching assistant and secretarial positions. His extracurricular activities include tutoring economics students, participating in entrepreneurship programs, and managing a stock trading portfolio.
W Chris Leach higher ed resume - Nov 2016Chris Leach
W. Chris Leach has over 30 years of experience in accounting and finance, including 15 years as Associate Vice President and Director of Finance at Washburn University. He holds an MPA and BPA from Mississippi State University and is a licensed CPA in Mississippi. His career includes experience in public accounting, financial services, and higher education administration. He provides leadership in budgeting, financial reporting, and strategic planning.
Rodrigo De la Fuente Gallegos is currently an Assistant Professor at the University of Concepción in Chile. He received his PhD in Industrial and Systems Engineering from North Carolina State University in 2016. His research focuses on simulation modeling and machine learning algorithms to analyze complex systems. He has taught courses in logistic management, simulation, and business at both the graduate and undergraduate level.
Predictive Analytics - How to get stuff out of your Crystal BallDATAVERSITY
Everyone wants to leverage data. The optimal implementation of analytics is an organization-wide set of capabilities. These are called advantageous organizational analytic capabilities in that a clear ROI is demonstrable from these efforts. Turns out that there are a number of prerequisites to advantageous organizational analytics. These include:
Adopting a crawl, walk, run strategy
Understanding current and potential organizational maturity and corresponding capabilities
Achieving an appropriate technology/human capability balance
Implementing useful IT systems development practices
Installing necessary non-IT leadership
This webinar will explore these and other topics using examples drawn from DOD, healthcare researchers, and donation center operations.
CPA ONE 2016 - Big data: big decisions or big fallacyLaurie Desautels
Laurie Desautels presented on "Big data: big decisions or big fallacy" at CPA Canada's national conference in September 2016. The presentation discussed what big data is, the language of analytics, lessons learned, and implications for accountants. Big data refers to large volumes of structured, unstructured and semi-structured data that is growing exponentially. Analytics can extract insights from data to help organizations make more informed decisions. Finance functions are spending more time on data analysis and generating business insights. Both human judgment and machine learning algorithms will play important roles in decision-making. Organizations must apply the right analytics approaches to different types of decisions.
Jingjing Chen is seeking a position in data analysis. She received her M.A. in Economics and Education from Teachers College, Columbia University in 2015 and B.A. in Economics from Central University of Finance and Economics in 2013. She has skills in R, SAS, Stata, SQL, Python and Excel. Chen has completed internships in business intelligence, data analysis, and business analysis. Her projects include using text mining and machine learning techniques like LDA and kNN for tasks like text classification, face recognition, and analyzing bond election proposals.
The document discusses key performance indicator (KPI) dashboards and benchmarking for higher education institutions. It outlines the case for good communication of financial and operational data through dashboards to highlight potential problems. It describes effective dashboard principles like understanding context, perceiving and presenting data accurately and linking data to mission and strategy. Benchmarking is presented as a way to maintain viability by comparing performance to peers. Examples of common higher education KPIs and benchmarking groups are provided.
Ashwin Narayanan has a Bachelor's degree in Statistics from the University of Virginia with concentrations in Actuarial Finance and International Relations. He has experience in data analysis, compliance, and sales roles. His technical skills include programming languages R, Python, and SAS as well as Microsoft Excel, Office, and Java. Narayanan has held internships in insurance sales and marketing and has worked in compliance and revenue cycle roles for a home healthcare company.
Closing the Knowledge Gap Between Evaluators and StakeholdersCesToronto
This document summarizes a presentation on closing the knowledge gap between evaluators and stakeholders. It discusses useful evaluator attitudes, aptitudes and skills, as well as evaluation methodologies that integrate opportunities for learning. Specifically, it presents the concentric circles methodology and snowball methodology, highlighting how each approach allows evaluators to gradually build knowledge and refine their evaluation. It also examines how computer-assisted qualitative data analysis software (CAQDAS) can enhance evaluator learning and evaluation quality, but notes its underutilization in the evaluation field. The presentation demonstrates the capabilities of Atlas.ti software.
The most profitable insurance organizations will outperform competitors in key areas as personalized customer service, claims processing, subrogation recovery, fraud detection and product innovation. This requires thinking beyond the traditional data warehouse to the data fabric - an emerging data management architecture.
In this webinar Andy Sohn, Senior Advisor at NewVantage Partners, and Bob Parker, Senior Director for Insurance at Cambridge Semantics, explore the role of the data discovery and integration layer in an enterprise data fabric for the Insurance industry. These are their slides.
Nilesh Kumar is a male statistician currently living in New Delhi, India. He has over two years of work experience as a statistical analyst and consultant statistician. His experience includes data processing, analysis, statistical modeling, and data visualization using programs like R, SAS, SPSS, and Neo4j. He is currently working on a DNA methylation project analyzing cancer data. Nilesh has a M.Sc. in Statistics from Banaras Hindu University and is proficient in English, Hindi, R, SAS, SQL, and statistical techniques like regression analysis, predictive modeling, and time series analysis.
Santiago Rosas is seeking an entry-level financial analyst position with over 12 months of experience in accounting and auditing roles. He has a Bachelor of Science in Finance and Bachelor of Arts in Business Economics from California State University, Long Beach. His experience includes positions as a Sales Tax Associate at Kriser's Natural Pet, Assistant Internal Auditor at Westin Bonaventure, and Accounts Payable Administrator at American Apparel where he analyzed financial documents, maintained records, and resolved client issues.
Yichi Chen is seeking a position in data analysis and holds a Master's in Statistics from George Washington University and a Bachelor's in Economics from Purdue University. He has strong skills in SAS, R, SQL, and Tableau for data analysis. His experience includes internships analyzing financial and customer data, editing television programs, and conducting statistical research projects analyzing factors like air pollution, life expectancy, and gene expression.
Motivational Metrics: A Publisher and Library CollaborationDanea Johnson
In response to increasing internal demand for and focus on metrics associated with the work of the National Academics of Sciences, Engineering, and Medicine, in 2015 the National Academies Press and the Research Center launched an institution wide initiative to standardize our data collection processes and create “best practice” guidelines for staff. This ongoing initiative includes: developing a common definition for impact, a standardized taxonomy for data collection, development work on the internal metrics platform, staff training on data analysis, and marketing tools for reports to sponsors and new funding proposals. MacDonald and Willis will present on how their metrics initiative has impacted the work of librarians, researchers, and program staff, what they have learned about the increasing importance of metrics in scholarly publishing, and what they have in mind for the future.
Alphonse MacDonald is currently Acting Co-Executive Director of the National Academies Press. He has more than 20 years experience in the digital media and publishing sectors and has developed electronic publishing and online outreach programs for a broad range of publishers and non-profit organizations including Island Press, Conservation International, and the National Academies of Sciences, Engineering, and Medicine.
Colleen Willis is currently the Manager of the Research Center at the National Academies of Sciences, Engineering and Medicine. She manages a staff of 4 research librarians who support the Academies with concept development, project proposals, conducting research, report writing and measuring impact.
Jiani Wen is seeking a position in finance and has a Master's degree in Finance from Syracuse University and a Bachelor's degree in Social Security from Jiangxi University of Finance & Economics. She has experience as a treasury intern at Excellus BlueCross BlueShield where she audited accounts and created VBA programs to analyze data. She is proficient in financial modeling, valuation, and data analytics tools. She has also held internships in sports reporting, banking, and represented her university in national investment banking competitions presenting merger and acquisition analyses.
This document is a resume for Matthew Zakelj that summarizes his education and experience. He attended The Ohio State University from 2014 to 2018 where he earned a Bachelor's degree in Finance with a minor in Business Analytics. During college, he held internships at The Sherwin Williams Company and Allied Mineral where he performed tasks like analyzing injury data trends and automating processes in Excel. Matthew was also involved with the Business Analytics Industry Cluster Program and Undergraduate Finance Association where he worked on projects and gained insights from financial recruiters. His skills include advanced Excel capabilities as well as intermediate proficiency in R and beginner skills in Tableau.
How Big Data and Predictive Analytics are Transforming the World of Accountin...Swenson Advisors, LLP
The age of the millennials is upon us: Google, Instagram, Snapchat, social media, competency based education (CBE) are changing the world we live in. Big Data, its “analytical off spring,” will significantly change the role and skill set of auditors and accountants in less than a decade.
Yijiang Liu is a data analysis specialist seeking a position. He has a Master's degree in Business Analytics and Project Management from UConn and a Bachelor's degree in Mathematical Finance from Wuhan University of Technology. He has worked as a Sales Data Analyst for Clorox where he performed time-series analysis and data visualization to increase sales. As a Data Analyst for Changjiang Securities, he developed predictive models to retain customers. Previously he conducted data analysis and reporting as a Financial Analyst for Construction Bank of China. His academic projects include data visualization of presidential campaigns, survival analysis of unemployment duration, and database implementation. He is proficient in SAS, Tableau, R, SQL, Excel, and other analytical tools
Kenneth Wong is a student at UC Berkeley studying economics with a 3.8 GPA. He has relevant internship experience in finance at Visa and project management at Cisco. At Visa, he assisted with new product deals, created competitive analyses, analyzed financial risk, and automated processes. At Cisco, he projected savings, determined cost effectiveness, and led teams. He also has marketing internship experience at HitFix utilizing analytics. Additionally, he has leadership roles in baseball and his fraternity, where he manages budgets and plans events.
Kenneth Wong is a student at UC Berkeley studying economics with a 3.8 GPA. He has relevant internship experience in finance at Visa and project management at Cisco. At Visa, he assisted with new product deals, created competitive analyses, analyzed financial risk, and automated processes. At Cisco, he projected savings, determined cost effectiveness, and led teams. He also has marketing internship experience at HitFix utilizing analytics. Additionally, he has leadership roles in baseball and his fraternity, where he manages budgets and plans events.
This document is a resume for Rishi S. Reddy, who is pursuing a Bachelor of Science in Economics from the University at Albany with expected graduation in December 2016. He has maintained a 3.80 GPA and has received Dean's list honors. His relevant coursework includes Intermediate Microeconomics and Introduction to Data and Databases. He has internship experience with the Minority Business Development Agency and the College of Nanoscale Science and Engineering, and has held teaching assistant and secretarial positions. His extracurricular activities include tutoring economics students, participating in entrepreneurship programs, and managing a stock trading portfolio.
W Chris Leach higher ed resume - Nov 2016Chris Leach
W. Chris Leach has over 30 years of experience in accounting and finance, including 15 years as Associate Vice President and Director of Finance at Washburn University. He holds an MPA and BPA from Mississippi State University and is a licensed CPA in Mississippi. His career includes experience in public accounting, financial services, and higher education administration. He provides leadership in budgeting, financial reporting, and strategic planning.
Rodrigo De la Fuente Gallegos is currently an Assistant Professor at the University of Concepción in Chile. He received his PhD in Industrial and Systems Engineering from North Carolina State University in 2016. His research focuses on simulation modeling and machine learning algorithms to analyze complex systems. He has taught courses in logistic management, simulation, and business at both the graduate and undergraduate level.
Predictive Analytics - How to get stuff out of your Crystal BallDATAVERSITY
Everyone wants to leverage data. The optimal implementation of analytics is an organization-wide set of capabilities. These are called advantageous organizational analytic capabilities in that a clear ROI is demonstrable from these efforts. Turns out that there are a number of prerequisites to advantageous organizational analytics. These include:
Adopting a crawl, walk, run strategy
Understanding current and potential organizational maturity and corresponding capabilities
Achieving an appropriate technology/human capability balance
Implementing useful IT systems development practices
Installing necessary non-IT leadership
This webinar will explore these and other topics using examples drawn from DOD, healthcare researchers, and donation center operations.
CPA ONE 2016 - Big data: big decisions or big fallacyLaurie Desautels
Laurie Desautels presented on "Big data: big decisions or big fallacy" at CPA Canada's national conference in September 2016. The presentation discussed what big data is, the language of analytics, lessons learned, and implications for accountants. Big data refers to large volumes of structured, unstructured and semi-structured data that is growing exponentially. Analytics can extract insights from data to help organizations make more informed decisions. Finance functions are spending more time on data analysis and generating business insights. Both human judgment and machine learning algorithms will play important roles in decision-making. Organizations must apply the right analytics approaches to different types of decisions.
Jingjing Chen is seeking a position in data analysis. She received her M.A. in Economics and Education from Teachers College, Columbia University in 2015 and B.A. in Economics from Central University of Finance and Economics in 2013. She has skills in R, SAS, Stata, SQL, Python and Excel. Chen has completed internships in business intelligence, data analysis, and business analysis. Her projects include using text mining and machine learning techniques like LDA and kNN for tasks like text classification, face recognition, and analyzing bond election proposals.
The document discusses key performance indicator (KPI) dashboards and benchmarking for higher education institutions. It outlines the case for good communication of financial and operational data through dashboards to highlight potential problems. It describes effective dashboard principles like understanding context, perceiving and presenting data accurately and linking data to mission and strategy. Benchmarking is presented as a way to maintain viability by comparing performance to peers. Examples of common higher education KPIs and benchmarking groups are provided.
Ashwin Narayanan has a Bachelor's degree in Statistics from the University of Virginia with concentrations in Actuarial Finance and International Relations. He has experience in data analysis, compliance, and sales roles. His technical skills include programming languages R, Python, and SAS as well as Microsoft Excel, Office, and Java. Narayanan has held internships in insurance sales and marketing and has worked in compliance and revenue cycle roles for a home healthcare company.
Closing the Knowledge Gap Between Evaluators and StakeholdersCesToronto
This document summarizes a presentation on closing the knowledge gap between evaluators and stakeholders. It discusses useful evaluator attitudes, aptitudes and skills, as well as evaluation methodologies that integrate opportunities for learning. Specifically, it presents the concentric circles methodology and snowball methodology, highlighting how each approach allows evaluators to gradually build knowledge and refine their evaluation. It also examines how computer-assisted qualitative data analysis software (CAQDAS) can enhance evaluator learning and evaluation quality, but notes its underutilization in the evaluation field. The presentation demonstrates the capabilities of Atlas.ti software.
The most profitable insurance organizations will outperform competitors in key areas as personalized customer service, claims processing, subrogation recovery, fraud detection and product innovation. This requires thinking beyond the traditional data warehouse to the data fabric - an emerging data management architecture.
In this webinar Andy Sohn, Senior Advisor at NewVantage Partners, and Bob Parker, Senior Director for Insurance at Cambridge Semantics, explore the role of the data discovery and integration layer in an enterprise data fabric for the Insurance industry. These are their slides.
Nilesh Kumar is a male statistician currently living in New Delhi, India. He has over two years of work experience as a statistical analyst and consultant statistician. His experience includes data processing, analysis, statistical modeling, and data visualization using programs like R, SAS, SPSS, and Neo4j. He is currently working on a DNA methylation project analyzing cancer data. Nilesh has a M.Sc. in Statistics from Banaras Hindu University and is proficient in English, Hindi, R, SAS, SQL, and statistical techniques like regression analysis, predictive modeling, and time series analysis.
Santiago Rosas is seeking an entry-level financial analyst position with over 12 months of experience in accounting and auditing roles. He has a Bachelor of Science in Finance and Bachelor of Arts in Business Economics from California State University, Long Beach. His experience includes positions as a Sales Tax Associate at Kriser's Natural Pet, Assistant Internal Auditor at Westin Bonaventure, and Accounts Payable Administrator at American Apparel where he analyzed financial documents, maintained records, and resolved client issues.
Yichi Chen is seeking a position in data analysis and holds a Master's in Statistics from George Washington University and a Bachelor's in Economics from Purdue University. He has strong skills in SAS, R, SQL, and Tableau for data analysis. His experience includes internships analyzing financial and customer data, editing television programs, and conducting statistical research projects analyzing factors like air pollution, life expectancy, and gene expression.
Motivational Metrics: A Publisher and Library CollaborationDanea Johnson
In response to increasing internal demand for and focus on metrics associated with the work of the National Academics of Sciences, Engineering, and Medicine, in 2015 the National Academies Press and the Research Center launched an institution wide initiative to standardize our data collection processes and create “best practice” guidelines for staff. This ongoing initiative includes: developing a common definition for impact, a standardized taxonomy for data collection, development work on the internal metrics platform, staff training on data analysis, and marketing tools for reports to sponsors and new funding proposals. MacDonald and Willis will present on how their metrics initiative has impacted the work of librarians, researchers, and program staff, what they have learned about the increasing importance of metrics in scholarly publishing, and what they have in mind for the future.
Alphonse MacDonald is currently Acting Co-Executive Director of the National Academies Press. He has more than 20 years experience in the digital media and publishing sectors and has developed electronic publishing and online outreach programs for a broad range of publishers and non-profit organizations including Island Press, Conservation International, and the National Academies of Sciences, Engineering, and Medicine.
Colleen Willis is currently the Manager of the Research Center at the National Academies of Sciences, Engineering and Medicine. She manages a staff of 4 research librarians who support the Academies with concept development, project proposals, conducting research, report writing and measuring impact.
Jiani Wen is seeking a position in finance and has a Master's degree in Finance from Syracuse University and a Bachelor's degree in Social Security from Jiangxi University of Finance & Economics. She has experience as a treasury intern at Excellus BlueCross BlueShield where she audited accounts and created VBA programs to analyze data. She is proficient in financial modeling, valuation, and data analytics tools. She has also held internships in sports reporting, banking, and represented her university in national investment banking competitions presenting merger and acquisition analyses.
This document is a resume for Matthew Zakelj that summarizes his education and experience. He attended The Ohio State University from 2014 to 2018 where he earned a Bachelor's degree in Finance with a minor in Business Analytics. During college, he held internships at The Sherwin Williams Company and Allied Mineral where he performed tasks like analyzing injury data trends and automating processes in Excel. Matthew was also involved with the Business Analytics Industry Cluster Program and Undergraduate Finance Association where he worked on projects and gained insights from financial recruiters. His skills include advanced Excel capabilities as well as intermediate proficiency in R and beginner skills in Tableau.
How Big Data and Predictive Analytics are Transforming the World of Accountin...Swenson Advisors, LLP
The age of the millennials is upon us: Google, Instagram, Snapchat, social media, competency based education (CBE) are changing the world we live in. Big Data, its “analytical off spring,” will significantly change the role and skill set of auditors and accountants in less than a decade.
Yijiang Liu is a data analysis specialist seeking a position. He has a Master's degree in Business Analytics and Project Management from UConn and a Bachelor's degree in Mathematical Finance from Wuhan University of Technology. He has worked as a Sales Data Analyst for Clorox where he performed time-series analysis and data visualization to increase sales. As a Data Analyst for Changjiang Securities, he developed predictive models to retain customers. Previously he conducted data analysis and reporting as a Financial Analyst for Construction Bank of China. His academic projects include data visualization of presidential campaigns, survival analysis of unemployment duration, and database implementation. He is proficient in SAS, Tableau, R, SQL, Excel, and other analytical tools
Kenneth Wong is a student at UC Berkeley studying economics with a 3.8 GPA. He has relevant internship experience in finance at Visa and project management at Cisco. At Visa, he assisted with new product deals, created competitive analyses, analyzed financial risk, and automated processes. At Cisco, he projected savings, determined cost effectiveness, and led teams. He also has marketing internship experience at HitFix utilizing analytics. Additionally, he has leadership roles in baseball and his fraternity, where he manages budgets and plans events.
Kenneth Wong is a student at UC Berkeley studying economics with a 3.8 GPA. He has relevant internship experience in finance at Visa and project management at Cisco. At Visa, he assisted with new product deals, created competitive analyses, analyzed financial risk, and automated processes. At Cisco, he projected savings, determined cost effectiveness, and led teams. He also has marketing internship experience at HitFix utilizing analytics. Additionally, he has leadership roles in baseball and his fraternity, where he manages budgets and plans events.
1. Deniz Appelbaum Curriculum Vitae
Allendale, NJ 07401 | Cell: 202.425.3633 | Email: denizappelbaum@gmail.com
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EDUCATION:
Anticipated May 2017 Ph.D. in Accounting
Rutgers University School of Business | New Brunswick, NJ
2012 Master of Business Administration in Professional Accounting
Rutgers University School of Business | New Brunswick, NJ
1985 Bachelor of Arts – Summa Cum Laude
The Catholic University of America | Washington, D.C.
German
RESEARCH
INTERESTS:
Data analytics, external auditing, governmental/performance auditing, digital governmental financial
reporting, XBRL, Blockchain, fraud detection, Big Data, audit evidence, data provenance
PUBLICATIONS:
“Designing CA/CM to Fit Not-For-Profit Organizations”, 2016, with Stephen Kozlowski,
Miklos A. Vasarhelyi, and Joel White. Managerial Auditing Journal, Volume 31 Number 1
“Toward Effective Big Data Analysis in Continuous Auditing”, June 2015, with Juan Zhang and
Xiongsheng Yang. Accounting Horizons, Volume Twenty-Nine, Number Two
“Securing Big Data Provenance for Auditors: The Big Data Provenance BlackBox as Reliable
Evidence”, 2016, Journal of Emerging Technologies in Accounting, Volume 13, No. 1: 17-36.
WORKING PAPERS/
IN PROGRESS:
“Using Drones in Internal and External Audits: An Exloratory Framework”. 2016, with Robert
Nehmer (status: working paper, to be submitted to Journal of Emerging Technologies)
“Big Data Analytics Knowledge Required of a CPA Auditor: A Normative Position”, 2016, with D.
Scott Showalter, Ting Sun, and Miklos A. Vasarhelyi, (status: accepted under revision at Accounting
Information Systems Educator Journal)
“Continuous Audit and Big Data with Audit Analytics: Research Needs” 2016, with Alexander Kogan
and Miklos A. Vasarhelyi, (status: revising for submission to Auditing Journal of Practice
and Theory)
“Analytics in External Auditing: A Literature Review”, 2016, with Alexander Kogan and Miklos A.
Vasarhelyi, (status: in progress, revising for submission to the Journal of Accounting Literature)
“The External Audit Analytics Framework”, 2016, with Alexander Kogan and Miklos A. Vasarhelyi,
(status: in progress, revising for submission to Accounting Horizons)
“A Tale of an Evolving Standard: XBRL Reporting for U.S. Local Governments” 2016, with Hussein
Issa and Stephen Kozlowski, (status: revising for submission to Accounting, Organisations, and Society)
“Expert Knowledge Elicitations in a Procurement Card Context: A Visual Expert Dashboard”, with
Abdullah Al-Awadhi and Miklos A. Vasarhelyi, (status: revising for submission to the International Journal
of Accounting Information Systems)
2. Deniz Appelbaum
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INSTRUCTOR:
Designed syllabus and course materials, taught all classes, mentored students, weekly lab practicum, and
grading
2013 – 2015 Rutgers Business School
Summer 2015 Auditing, senior undergraduate/teaching mean evaluation: 4.74/5.0
Fall 2014 Auditing, senior undergraduate/teaching evaluation: n/a (emergency substitute for 10 weeks)
Summer 2014 Auditing, senior undergraduate/teaching mean evaluation: 4.66/5.0
Spring 2014 Auditing, senior undergraduate/teaching mean evaluation: 4.58/5.0
Summer 2014 Auditing, senior undergraduate/teaching mean evaluation: 4.59/5.0
TEACHING Collaborated on curriculum and exam development, conducted individual student sessions, and
ASSISTANT: graded written work and final exam papers
Summer 2015 Advanced Accounting Research
Fall 2014 Auditing and Auditing Concepts
Summer 2014 Advanced Accounting Research
Fall 2013 PAMBA Intermediate Accounting I
Spring 2013 Managerial Accounting
Financial Accounting
ACADEMIC SERVICE:
2016 Organized the 13th
Annual Fraud Conference (Rutgers) and the 36th
WCARS (Sao Paulo, Brazil)
2014 - 2016 Member of SET section membership committee
2013 - 2016 Discussed/ moderated/reviewed at every conference attended, details available on request
COMMUNITY SERVICE:
2010 - Volunteer Team Leader, Michelle Mitzvah Soup Kitchen
PROFESSIONAL
SKILLS:
English – Native proficiency
German – High Fluency
IDEA, ACL – Advanced Proficiency (scripting, macros)
Microsoft Office, R, Tableau, Weka, Rapid Miner, Python, Hadoop
PROFESSIONAL
CAREER HISTORY:
2011 – 2013 Independent Financial Advisor
Financial and taxation services
2011 – 2013 NAL Distributors, LLC., Chief Financial Officer
2000 – 2011 CSM North America, Business Development Manager
1989 –2000 Frank A. Serio & Sons, Sales Representative
3. Deniz Appelbaum
3 | P a g e
PROFESSIONAL
MEMBERSHIPS:
American Accounting Association (AAA)
American Governmental Accountants (AGA)
Information Security and Auditing Certification Association (ISACA)
Institute of Internal Auditors (IIA)
CONFERENCE
PRESENTATIONS:
2016 “Using Drones in Internal and External Audits: An Axploratory Framework”. Strategic and Energing
Technologies Section Workshop, AAA Annual Meeting 2016, N.Y., N.Y.
“Moving Towards Continuous Audit and Big Data with Audit Analytics: Implications for Resaerch
and Practice.” AAA Annual Meeting 2016, N.Y., N.Y.
“Expert Knowledge Elicitations in a Procurement Card Context: A Visual Expert Dashboard.” AAA
Annual Meeting 2016, N.Y., N.Y.
“A Tale of an Evolving Standard: XBRL Reporting for U.S. Local Governments”
Government and Nonprofit Section 2016 Midyear Meeting, Washington D.C.
“A Tale of Two Standards: A Pan-American Study on the XBRL Data Standards for
U.S. and Brazilian Local Governments”
AIS/SET AAA 2016 Midyear meeting, Houston TX
“Moving Towards Continuous Audit and Big Data with Audit Analytics: Implications
for Research and Practice”
AIS/SET AAA 2016 Midyear meeting, Houston TX
2015 “Implementing CA/CM for Not-For-Profit Organizations”
AAA Annual Meeting, Chicago
“Securing Big Data Provenance for Auditors: The Big Data Provenance Black Box”
AAA Annual Meeting, Chicago
“Analytics Knowledge Required of Modern CPAs in this Real Time Economy”
AIS Educator Conference, Colorado Springs CO
“Securing Big Data Provenance for Auditors: The Big Data Provenance Black Box”
12th Contecsi, Sao Paolo, Brazil
“Designing CA/CM to Fit Not-For-Profit Organizations”
12th Contecsi, Sao Paolo, Brazil
“Designing CA/CM to Fit Not-For-Profit Organizations”
GNP Midyear Conference, Detroit MI
“Designing CA/CM to Fit Not-For-Profit Organizations”
AIS Midyear Conference, Charleston, SC
“Procurement Card Fraud Detection Using Hidden Markov Models and Information
Fusion”
AIS Midyear Conference, Charleston SC
2014 – 2013 Details available upon request
4. Deniz Appelbaum
4 | P a g e
AWARDS:
Best PhD Student Paper Award at the SET AAA Section Workshop, 8/01/2013
OUTSIDE
INTERESTS:
2011 - World-Record Holder, Bench Press
Ongoing Mezzo-Soprano, Opera and Oratorio
References available upon request from:
Miklos A. Vasarhelyi, Ph.D.
kpmg distinguished professor of ais
Director of CARLab
Rutgers University
1 Washington Park, Room 946
Newark, NJ 07102
cell: 201-454-4377
miklosv@andromeda.rutgers.edu
Dan Palmon, Ph.D.
William J. Von Minden Chair in Accounting
Chair, Dept. of Accounting and Information Systems
Rutgers Business School - Newark and New Brunswick
One Washington Park, Room 920
Newark, NJ 07102-3122
dpalmon@business.rutgers.edu
Office: 1-973-353-5472
Cell: 1-201-658-5833
Alexander Kogan, Ph.D
Professor
Accounting and Information Systems Department
Rutgers University
1 Washington Park
Newark, NJ 07102
Office: 973-353-1064
kogan@business.rutgers.edu
Helen L. Brown-Liburd, Ph.D., CPA (Inactive)
Associate Professor
Accounting and Information Systems Department
Rutgers Business School
1 Washington Park
Newark, NJ 07102
Office: 973-353-1092
hbliburd@business.rutgers.edu