Sergii Golovko has extensive experience in data analysis and machine learning. He has strong analytical skills and can work under time pressure. He has applied techniques like linear regression, logistic regression, decision trees, and ensemble methods to build predictive models and finish in the top percentages of several Kaggle competitions. Golovko has a PhD in Economics from Penn State University and expertise in languages like Python, R, C++, and SQL.
Talk by Borys Biletskyy at Data Science Amsterdam and Data Science Utrecht. The talk is dedicated to the role of Machine Learning Engineer and how it can improve the success rate of Data Science projects.
Talk at the inaugural Semantic Web London meetup in 2016 about building ontologies from concept maps, spreadsheets and other business analysis artefacts.
Talk by Borys Biletskyy at Data Science Amsterdam and Data Science Utrecht. The talk is dedicated to the role of Machine Learning Engineer and how it can improve the success rate of Data Science projects.
Talk at the inaugural Semantic Web London meetup in 2016 about building ontologies from concept maps, spreadsheets and other business analysis artefacts.
Worked as a Salesforce Certified Developer. My responsibilities at Cognizant included intensive programming in Apex programming language. It is just like JAVA, using an object-oriented concept including some portions of JavaScript. I took elaborate video conferences from onsite counterparts and assisted them with flexible yet pragmatic plans of development. I also completed a minor project with Python 3.6.2 in Jupyter Notebook.With regard to my ability to meet the specific requirements of this job, these are few of my past roles:
•Project: Omni Channel
Using Salesforce, I configured the service cloud platform where agents and customers can chat for any online help. This whole setup is known as ‘live agent configuration’ which is eventually used to make business more effective and efficient at communicating
•Project : SNAP Invalid Email Enhancements
Completed the business requirement of providing back-end logic for valid Email extensions so that no invalid or spam Email can be provided. This in turn provided more authenticity to the website and its usage
•Project: ORACLE CPQ CLOUD Enhancements
Single-handedly created the style sheets and co-ordinated with onsite counterparts to enhance the User Interface for the new version of ORACLE.
• Worked with the cloud-based software Salesforce.com that helps multi-level organizations such as GE and Symantec to generate prices and quotes for complex and configurable products.
• Created new marketing ideas for an online-delivery solution for international retail prospects with unique coding methods for each product.
• Implemented a live agent-based customized page through APEX language where client and agent can share their queries and get easy solutions.
• Developed web services using JSON format and sent the datasets to other data clients for domestic and international customers through online cloud products.
Data Analyst with over 4 years of experience in business intelligence, data management and analytics. Strong understanding and practical knowledge of technologies such as Java, SQL, Python, Hadoop, Tableau, HTML. Background in leading significant projects and managing technical teams in a fast paced environment.
Worked as a Salesforce Certified Developer. My responsibilities at Cognizant included intensive programming in Apex programming language. It is just like JAVA, using an object-oriented concept including some portions of JavaScript. I took elaborate video conferences from onsite counterparts and assisted them with flexible yet pragmatic plans of development. I also completed a minor project with Python 3.6.2 in Jupyter Notebook.With regard to my ability to meet the specific requirements of this job, these are few of my past roles:
•Project: Omni Channel
Using Salesforce, I configured the service cloud platform where agents and customers can chat for any online help. This whole setup is known as ‘live agent configuration’ which is eventually used to make business more effective and efficient at communicating
•Project : SNAP Invalid Email Enhancements
Completed the business requirement of providing back-end logic for valid Email extensions so that no invalid or spam Email can be provided. This in turn provided more authenticity to the website and its usage
•Project: ORACLE CPQ CLOUD Enhancements
Single-handedly created the style sheets and co-ordinated with onsite counterparts to enhance the User Interface for the new version of ORACLE.
• Worked with the cloud-based software Salesforce.com that helps multi-level organizations such as GE and Symantec to generate prices and quotes for complex and configurable products.
• Created new marketing ideas for an online-delivery solution for international retail prospects with unique coding methods for each product.
• Implemented a live agent-based customized page through APEX language where client and agent can share their queries and get easy solutions.
• Developed web services using JSON format and sent the datasets to other data clients for domestic and international customers through online cloud products.
Data Analyst with over 4 years of experience in business intelligence, data management and analytics. Strong understanding and practical knowledge of technologies such as Java, SQL, Python, Hadoop, Tableau, HTML. Background in leading significant projects and managing technical teams in a fast paced environment.
1. Sergii Golovko
492 Heatherbrooke Way • Westerville • OH, 43081 • 814-441-9877 • sergii.golovko@gmail.com
SUMMARY a
Data analyst/scientist with strong analytical skills, able to work under time pressure, fast learner, result-
oriented, skilled to solve new and challenging questions. Solid understanding of a data analysis process including
data mining, preprocessing, feature creation and applying machine learning techniques (linear and logistic
regressions, decision trees, etc.) to build predictive models. Professional programmer (C++, VB, SQL), knowledge
of scripting languages (Matlab, Python), and statistical software (STATA, R and SAS).
EXPERIENCE a
KAGGLE DATA SCIENCE COMPETITIONS Dec 2015 – Sep 2016
▪ Finished top 1% in a competition organized by Home Depot and top 10% in a competition organized by
Santander (both times as a part of a team). Prepared (post-completion) solution scoring top 5% for a
competition organized by Telstra, which is available on GitHub
▪ Performed complete data analysis (in Python and R) including feature engineering, data visualization, building
forecasting models (logistic and linear regressions, random forest, gradient boosting, xgboost, etc.)
▪ Applied different ensemble techniques (such as blending, rank averaging, etc.) to improve the performance of
single models; Performed cross-validation to evaluate models
PENN STATE UNIVERSITY
Teaching Instructor Summer 2012, 2014, 2015, 2016
▪ Instructed students in Introductory and Intermediate Microeconomics courses
▪ Directed students through courses, organized online forum on Piazza and hold review sessions before exams
Research Assistant at the Center for the Study of Auctions, Procurements and Competition Policy Spring 2015
▪ Imported auction data from the FCC website and wrote VBA script which allows to merge auction results from
arbitrary number of excel files in a single file and to transform the data to a desirable format (substantially
speeding up the process of data collection). Technical report is available on GitHub
Teaching Assistant Aug 2010 – Dec 2014
▪ Instructed Mathematics for Economists and Econometrics for graduate students
▪ Instructed Intermediate Microeconomics, Intermediate Macroeconomics, and Decision Making and Strategy in
Economics for undergraduate students
External Advisor for BATES WHITE: ECONOMIC CONSULTING Dec 2011
▪ Evaluated the papers of job market candidates; Recommended questions to be asked during the interview
process
LAVATERA LTD, Kyiv, Ukraine Oct 2006 – Dec 2008
C++ Software Developer
▪ Contributed to development of the graphic interface (CATOPO project) that allows to transform topology
optimization problem directly to CAD data
▪ Performed finite element analysis, designed and implemented 3D algorithms
ADVERTISING AGENCY RAM 360, Kyiv, Ukraine May 2006 – Aug 2006
Visual Basic and SQL Programmer
▪ Developed and implemented an algorithm for identification and removal of duplicates in large datasets
2. EDUCATION .
PENNSYLVANIA STATE UNIVERSITY, University Park, USA 2010 – 2016
PhD in Economics
▪ GPA: 3.9 out of 4.0
▪ Course Work: Econometrics, Empirical Methods, Industrial Organization, Microeconomics, Macroeconomics
▪ Programmed estimation techniques in Matlab for Empirical Methods and Econometrics classes
▪ Replicated the results of several empirical papers for Empirical Methods and International Trade classes
KYIV SCHOOL OF ECONOMICS, Kyiv, Ukraine 2008 – 2010
Master of Arts in Economics
▪ GPA: 3.7 out of 4.0 (class rank 3 out of 20, degree with honors)
▪ Course Work: Econometrics, Nonparametric Econometrics, Productivity Analysis, Financial Theory, Option
Pricing and Project Valuation, International Finance, Microeconomics, Macroeconomics
▪ Performed data analysis and visualization in STATA
KYIV NATIONAL TARAS SHEVCHENKO UNIVERSITY, Kyiv, Ukraine 2002 – 2008
Master of Science in Applied Mathematics
▪ GPA: 5.0 out of 5.0 (degree with honors)
▪ Course Work: Numerical Methods, Programming, Information Systems and Databases, Mathematical
Modeling, Algorithm Theory and Mathematical Logic, Probability Theory and Statistics, Real Analysis
▪ Implemented several numerical algorithms using C++ and Matlab
CERTIFICATIONS a___________
▪ Machine Learning by Stanford University on Coursera January 2016
▪ SAS Online Tutor: Basic and Intermediate SAS March 2016
AWARDS and SCHOLARSHIPS a
▪ Graduate Assistantship, Penn State University 2010 – 2016
▪ Graduate Assistantship, Kyiv School of Economics 2008 – 2010
▪ Third Team Place at the National Final of Global Management Challenge (GMC), Kyiv, Ukraine Dec 2009
▪ Fourth Team Place at the National Final of Global Management Challenge (GMC), Kyiv, Ukraine Dec 2008
▪ Winner of the National Ukrainian Olympiad in Mathematics at the State Level (2nd
prize) Dec 2001
▪ Gold Medal for High Achievements in Secondary Education July 2002
SOFTWARE SKILLS a
Data Science Related Python, R, Rpart, Caret, Ggplot, Scikit-learn, NumPy, Pandas, Xgboost, Matplotlib
Programming C++, SQL, Matlab, VBA
Statistical and
Numerical Computing STATA, SAS, Mathematica, Maple
LANGUAGES a
English/Ukrainian/Russian
LINKS a
LinkedIn Profile https://www.linkedin.com/in/sergii-golovko-30801ba8
Personal Web Page http://www.personal.psu.edu/sag5322/index.html
GitHub https://github.com/sergiigolovko
Kaggle Data Science Competitions https://www.kaggle.com/sergiigolovko