Revanth Patti Pati is a Master's student in Business Analytics at Michigan State University with a GPA of 3.83. He has experience in data analytics, statistical modeling, and programming languages including Python, SQL, SAS, and R. His past internships include building predictive models at CNSI Inc and Tata Consultancy Services. He is skilled in tools such as Cognos, SAS Enterprise Miner, Hadoop, SPSS, and Tableau.
Ankit Kaushik is a business analyst with over 3 years of experience in the IT industry specializing in agile development methodologies. He has skills in requirements management, documentation, testing, and agile/waterfall methodologies. Currently he works as a business analyst at A3logics India Private Limited on US healthcare projects involving web and mobile application development. His responsibilities include requirement gathering, project management, documentation, testing, and ensuring system integrity before release.
According to an estimate there will be a talent shortage of 140,000-190,000 professionals with analytical capabilities in the U.S. alone by 2018 in India itself, the requirement of Business Analytics professionals would be around 50,000 by 2017.
Ankit Kaushik is a business analyst with over 3 years of experience in the IT industry specializing in the US healthcare domain. He has skills in requirements gathering, documentation, user acceptance testing, and Agile methodologies like Scrum. Currently working as a business analyst at A3logics India Private Limited, his previous roles involved gathering requirements, creating documentation, and performing testing for employee benefits administration projects using Agile methodologies. He has a bachelor's degree in computer science engineering and certifications in design thinking and digital marketing.
Sukhdeep Singh is a data wrangler, business analyst, and geek based in Sydney, Australia. He has a Masters in Data Science from Macquarie University and a Bachelors in Computer Science from Chitkara University. He has experience as a technical consultant, senior business analyst, and sales representative. His skills include Python, R, AWS, ETL, Power BI, databases, and data visualization. He is proud of his freshman project called Smart-o-Scope that received awards. He also received a $12,000 AUD Vice-Chancellor's grant for data science.
Karthik Shetty has a Master's in Construction Management from Michigan State University and a Bachelor's in Civil Engineering from V.T. University in India. He has experience as a research assistant at MSU conducting process analysis using Lean techniques. As a project engineer in India, he supervised construction of 33 homes and ensured projects were completed on schedule, budget and to specifications. His skills include project management, scheduling, budgeting and sustainability practices. He has proficiency in BIM, scheduling and estimating software.
This document summarizes how a company has evolved its use of predictive analytics in talent management over time. It started with basic reporting using Excel and PowerPoint. It then shifted to data visualization and business intelligence dashboards. In 2016, the company developed its first predictive retention model using machine learning techniques to classify flight risk. Analysis from this model guided strategies to improve retention. The company is now exploring how to further leverage predictive analytics to understand high performers, internal networks, and pave the way for future talent management.
BIG DATA HADOOP CAREER
:- WHY LEARNING DATA ANALYTICS FOR CAREER
:- SALIENT FEATURES OF BIG DATA CERTIFICATION COURSE
:- BIG DATA ANALYTICS AS A CAREER
Revanth Patti Pati is a Master's student in Business Analytics at Michigan State University with a GPA of 3.83. He has experience in data analytics, statistical modeling, and programming languages including Python, SQL, SAS, and R. His past internships include building predictive models at CNSI Inc and Tata Consultancy Services. He is skilled in tools such as Cognos, SAS Enterprise Miner, Hadoop, SPSS, and Tableau.
Ankit Kaushik is a business analyst with over 3 years of experience in the IT industry specializing in agile development methodologies. He has skills in requirements management, documentation, testing, and agile/waterfall methodologies. Currently he works as a business analyst at A3logics India Private Limited on US healthcare projects involving web and mobile application development. His responsibilities include requirement gathering, project management, documentation, testing, and ensuring system integrity before release.
According to an estimate there will be a talent shortage of 140,000-190,000 professionals with analytical capabilities in the U.S. alone by 2018 in India itself, the requirement of Business Analytics professionals would be around 50,000 by 2017.
Ankit Kaushik is a business analyst with over 3 years of experience in the IT industry specializing in the US healthcare domain. He has skills in requirements gathering, documentation, user acceptance testing, and Agile methodologies like Scrum. Currently working as a business analyst at A3logics India Private Limited, his previous roles involved gathering requirements, creating documentation, and performing testing for employee benefits administration projects using Agile methodologies. He has a bachelor's degree in computer science engineering and certifications in design thinking and digital marketing.
Sukhdeep Singh is a data wrangler, business analyst, and geek based in Sydney, Australia. He has a Masters in Data Science from Macquarie University and a Bachelors in Computer Science from Chitkara University. He has experience as a technical consultant, senior business analyst, and sales representative. His skills include Python, R, AWS, ETL, Power BI, databases, and data visualization. He is proud of his freshman project called Smart-o-Scope that received awards. He also received a $12,000 AUD Vice-Chancellor's grant for data science.
Karthik Shetty has a Master's in Construction Management from Michigan State University and a Bachelor's in Civil Engineering from V.T. University in India. He has experience as a research assistant at MSU conducting process analysis using Lean techniques. As a project engineer in India, he supervised construction of 33 homes and ensured projects were completed on schedule, budget and to specifications. His skills include project management, scheduling, budgeting and sustainability practices. He has proficiency in BIM, scheduling and estimating software.
This document summarizes how a company has evolved its use of predictive analytics in talent management over time. It started with basic reporting using Excel and PowerPoint. It then shifted to data visualization and business intelligence dashboards. In 2016, the company developed its first predictive retention model using machine learning techniques to classify flight risk. Analysis from this model guided strategies to improve retention. The company is now exploring how to further leverage predictive analytics to understand high performers, internal networks, and pave the way for future talent management.
BIG DATA HADOOP CAREER
:- WHY LEARNING DATA ANALYTICS FOR CAREER
:- SALIENT FEATURES OF BIG DATA CERTIFICATION COURSE
:- BIG DATA ANALYTICS AS A CAREER
Talent42 2017: Scaling without Sacrifice the Lyft Way - Linsey JacksonTalent42
This document discusses quality and scale in technical recruiting. It outlines the scaling trifecta of operations, experience, and partnerships. Key metrics for measuring success are discussed, as well as external tools and automation techniques used. Diversity and candidate experience are emphasized as important goals through attracting a diverse pool, regional sourcing approaches, and ensuring internal support and accountability.
This document contains the resume of Ankit Kaushik, who has over 2.7 years of experience as a Business Analyst. His skills include requirements gathering, business system analysis, documentation, Agile methodologies, and user acceptance testing. He currently works as a Business Analyst at A3logics India Private Limited, where he follows Agile practices like daily scrums and sprint planning. Previously he worked on an API-based benefits administration project at Splashtrack Benefits.
Serena Huang is a leader of People Analytics and HR Operations at GE who presented on predicting employee performance. She discussed using data and analytics to understand what makes high performers succeed. Her presentation outlined asking the right business questions, cleaning the data, analyzing it using the right methodology, presenting findings and recommendations, and optimizing the process. She encouraged scaling up people analytics work without an official team and engaging stakeholders.
The document summarizes a Business Analysis team audit that assesses how a BA team can work smarter, better, and more cost effectively. The audit examines the BA team, stakeholders, projects, and business to identify gaps between current and benchmark performance. It then provides a clear action plan with practical steps for improvement, including quantitative benchmarks and monitoring. Conducting an internal audit risks misdiagnosis, analysis paralysis, and subjectivity, so an external audit is recommended.
Mayank has over 1 year of experience as a Business Analyst managing projects, data analysis, client management, and business research. He currently works as an Analyst for Polestar Solutions & Services India Pvt. Limited where he leads projects, participates in key meetings with clients, and contributes to business documentation. Previously he has worked on digital transformation projects for clients such as CHEP and Alturki Holdings. He holds a B.E in Mechanical Engineering and has received multiple rewards and appreciation for his project management and performance.
Shiban SQ has a dual masters in business analytics and MBA with 3+ years of experience in analytics consulting, business creation, and project management. They led teams and managed client relationships. Research projects included machine learning tools like R, SAS, and Python, resulting in two co-authored papers. They have education in business analytics, marketing, and computer engineering. Relevant skills include predictive modeling, business intelligence, data visualization, project management, and languages like R, Python, SAS, and SQL. Professional experience includes research associate conducting machine learning research, creating models as a corporate manager, sales executive, and intern developing a business model.
Mayank has over 1 year of experience as a Business Analyst managing projects, data analysis, client management, and business research. He is skilled in project management, business consulting, data analysis using Excel, and business documentation. Currently working as an Analyst for a strategy and business consulting firm where he leads projects, coordinates with clients, and contributes to business presentations and documentation. Previously worked on digital transformation projects for logistics and investment holding companies. Educated with a B.E. in Mechanical Engineering with honors and several business, data analysis, and project management certifications.
Ryan Gore has over 5 years of experience in supply chain management and IT support. He received a Bachelor of Science in Business Administration from the University of Pittsburgh, double majoring in Supply Chain Management and Marketing. Gore has worked as a Vendor Compliance Specialist for American Eagle Outfitters, where he enforced packaging and labeling standards for 350 vendors and coordinated global pricing changes. He also has experience providing IT support and resolving tickets as an IT Support Specialist. Gore has strong process improvement, computer, communication, and organizational skills.
Arpit Bhatia has over 5 years of experience as a Systems Engineer at Tata Consultancy Services, where he led teams and developed data models and dashboards to improve business performance. He has a PGP in Analytics from School of Inspired Leadership and a B.Tech in Electronics and Communication. His education has provided hands-on experience with tools like SAS, R, and Tableau. He also has internship experience analyzing consumer behavior data. Outside of work, he is involved in basketball, martial arts, dancing, and fundraising for an NGO.
Anantara has developed a range of advanced capabilities in Analytics that are built around the company’s proprietary framework and methodology for intelligent Analytics named Enterprise Management Systems (EMS)™.
675014_Digital - Data Analytics_Foundation E-certficatePrateek Acharya
Prateek Acharya was awarded a certificate for Digital: Data Analytics_Foundation on May 21, 2016 for successfully completing an internal certification program at TCS. The certificate was signed by Debtanu Paul, Head of CLP Technology.
On October 2nd, Peter Beeusaert of SD Worx and Pieter Van Bouwel of Python Predictions shared our collaboration on Intuo.io’s Talent Enablement Conference. In this presentation, they explained how some of the most powerful data science applications have clear value in an HR context.
They discussed a recent joint use case ‘How data science can segment your employees to propose differentiated absenteeism treatment’ to demonstrate how bringing together data science and HR experts can improve and facilitate HR decision making.
Project management involves applying skills and techniques to complete a project according to requirements. There are typically five stages of project management: initiation, planning, execution, control and monitoring, and closing. Initiation involves defining the project and getting approval. Planning outlines goals and objectives in detail to meet requirements. Execution builds deliverables to ensure requirements are met. Control and monitoring involves adjusting plans for unforeseen issues and managing risks. Closing delivers all work, conducts reviews, and informs stakeholders of success.
Envisioning product roadmap from the customer's eye - Tushar Joshi and Amit S...baconfblr
This document discusses key aspects of product management and roadmapping from a vendor and customer perspective. It outlines differences between a roadmap, which identifies strategic alternatives and opportunities for a product, and a road map, which customizes a product to suit a specific customer's needs. The document also discusses common issues like lack of visibility into a vendor's roadmap for customers, lack of communication from vendors about upcoming features and changes, and setting proper expectations with customers about what a roadmap represents and what customizations are possible.
Nontraditional Industries for UConn MS BAPM students' Job/Internship Consider...Shu-Feng Tsao
I offered a workshop to share job or internship opportunities outside typical technical and financial industries for Business Analytics and Project Management students at UConn.
Case Study: Increasing Product Returns at Amaron, Inc.Shu-Feng Tsao
A manager wanted to know what’s causing the increase in return rate (from Dec’15 to Jan’16). Root cause analtsis (RCA) was performed to figure out what’s happening with return rates.
A manager believed that Chiboodle should add salads to its menu based on a current survey. The project was called "Project Crunch." This case study aimed to present to CEO recommendations based on the revenue forecast, if Project Crunch were implemented.
My thesis aimed to find an association between older adults' fruit & vegetable consumption and their farmers' market shopping by studying seniors in Lexington, KY and Taipei City, Taiwan.
This Power Point Presentation was prepared as a part of Visual Analytics Assignment.
The objective of the presentation was to introduce yourself with correct balance between the verbal and non-verbal portion in the presentation.
I used points from my LinkedIn profile, YouTube channel, Wordpress blog and the information that you will get if you google my name
This document summarizes a data analysis project on H-1B visa applications and outcomes. The analysis used a dataset of over 600,000 records with 40 variables to:
1) Compare offered salaries to prevailing wages and determine if salaries differ by visa type or state;
2) Identify the states with the highest paying salaries for certain visa types; and
3) Use machine learning models like boosted trees, neural networks, and random forests to predict whether applications would be certified or denied based on factors like salary, location, and employer.
Milind Jagre Cloudera Certified Developer for Apache Hadoop CDH4Milind Jagre
This document certifies that an individual has passed the Cloudera Certified Developer for Apache Hadoop CDH4 exam. It was granted on December 13, 2013 after successfully completing the exam on December 14, 2013. The individual is now a Cloudera Certified Developer for Apache Hadoop on the CDH4 platform.
Business Decision Modeling for Manufacturing ClientMilind Jagre
I worked in a team of four people to come up with the strategic decisions for one of our manufacturing clients.
We used concepts of Business Decision Modeling to pitch our recommendations to earn a higher profit, without sacrificing the current quality of the project.
As a part of this project, I performed, Linear Optimization, Non-Linear Optimization, and Monte Carlo Simulation to come up with unique and interesting, obviously useful recommendations for the business to grow further.
Talent42 2017: Scaling without Sacrifice the Lyft Way - Linsey JacksonTalent42
This document discusses quality and scale in technical recruiting. It outlines the scaling trifecta of operations, experience, and partnerships. Key metrics for measuring success are discussed, as well as external tools and automation techniques used. Diversity and candidate experience are emphasized as important goals through attracting a diverse pool, regional sourcing approaches, and ensuring internal support and accountability.
This document contains the resume of Ankit Kaushik, who has over 2.7 years of experience as a Business Analyst. His skills include requirements gathering, business system analysis, documentation, Agile methodologies, and user acceptance testing. He currently works as a Business Analyst at A3logics India Private Limited, where he follows Agile practices like daily scrums and sprint planning. Previously he worked on an API-based benefits administration project at Splashtrack Benefits.
Serena Huang is a leader of People Analytics and HR Operations at GE who presented on predicting employee performance. She discussed using data and analytics to understand what makes high performers succeed. Her presentation outlined asking the right business questions, cleaning the data, analyzing it using the right methodology, presenting findings and recommendations, and optimizing the process. She encouraged scaling up people analytics work without an official team and engaging stakeholders.
The document summarizes a Business Analysis team audit that assesses how a BA team can work smarter, better, and more cost effectively. The audit examines the BA team, stakeholders, projects, and business to identify gaps between current and benchmark performance. It then provides a clear action plan with practical steps for improvement, including quantitative benchmarks and monitoring. Conducting an internal audit risks misdiagnosis, analysis paralysis, and subjectivity, so an external audit is recommended.
Mayank has over 1 year of experience as a Business Analyst managing projects, data analysis, client management, and business research. He currently works as an Analyst for Polestar Solutions & Services India Pvt. Limited where he leads projects, participates in key meetings with clients, and contributes to business documentation. Previously he has worked on digital transformation projects for clients such as CHEP and Alturki Holdings. He holds a B.E in Mechanical Engineering and has received multiple rewards and appreciation for his project management and performance.
Shiban SQ has a dual masters in business analytics and MBA with 3+ years of experience in analytics consulting, business creation, and project management. They led teams and managed client relationships. Research projects included machine learning tools like R, SAS, and Python, resulting in two co-authored papers. They have education in business analytics, marketing, and computer engineering. Relevant skills include predictive modeling, business intelligence, data visualization, project management, and languages like R, Python, SAS, and SQL. Professional experience includes research associate conducting machine learning research, creating models as a corporate manager, sales executive, and intern developing a business model.
Mayank has over 1 year of experience as a Business Analyst managing projects, data analysis, client management, and business research. He is skilled in project management, business consulting, data analysis using Excel, and business documentation. Currently working as an Analyst for a strategy and business consulting firm where he leads projects, coordinates with clients, and contributes to business presentations and documentation. Previously worked on digital transformation projects for logistics and investment holding companies. Educated with a B.E. in Mechanical Engineering with honors and several business, data analysis, and project management certifications.
Ryan Gore has over 5 years of experience in supply chain management and IT support. He received a Bachelor of Science in Business Administration from the University of Pittsburgh, double majoring in Supply Chain Management and Marketing. Gore has worked as a Vendor Compliance Specialist for American Eagle Outfitters, where he enforced packaging and labeling standards for 350 vendors and coordinated global pricing changes. He also has experience providing IT support and resolving tickets as an IT Support Specialist. Gore has strong process improvement, computer, communication, and organizational skills.
Arpit Bhatia has over 5 years of experience as a Systems Engineer at Tata Consultancy Services, where he led teams and developed data models and dashboards to improve business performance. He has a PGP in Analytics from School of Inspired Leadership and a B.Tech in Electronics and Communication. His education has provided hands-on experience with tools like SAS, R, and Tableau. He also has internship experience analyzing consumer behavior data. Outside of work, he is involved in basketball, martial arts, dancing, and fundraising for an NGO.
Anantara has developed a range of advanced capabilities in Analytics that are built around the company’s proprietary framework and methodology for intelligent Analytics named Enterprise Management Systems (EMS)™.
675014_Digital - Data Analytics_Foundation E-certficatePrateek Acharya
Prateek Acharya was awarded a certificate for Digital: Data Analytics_Foundation on May 21, 2016 for successfully completing an internal certification program at TCS. The certificate was signed by Debtanu Paul, Head of CLP Technology.
On October 2nd, Peter Beeusaert of SD Worx and Pieter Van Bouwel of Python Predictions shared our collaboration on Intuo.io’s Talent Enablement Conference. In this presentation, they explained how some of the most powerful data science applications have clear value in an HR context.
They discussed a recent joint use case ‘How data science can segment your employees to propose differentiated absenteeism treatment’ to demonstrate how bringing together data science and HR experts can improve and facilitate HR decision making.
Project management involves applying skills and techniques to complete a project according to requirements. There are typically five stages of project management: initiation, planning, execution, control and monitoring, and closing. Initiation involves defining the project and getting approval. Planning outlines goals and objectives in detail to meet requirements. Execution builds deliverables to ensure requirements are met. Control and monitoring involves adjusting plans for unforeseen issues and managing risks. Closing delivers all work, conducts reviews, and informs stakeholders of success.
Envisioning product roadmap from the customer's eye - Tushar Joshi and Amit S...baconfblr
This document discusses key aspects of product management and roadmapping from a vendor and customer perspective. It outlines differences between a roadmap, which identifies strategic alternatives and opportunities for a product, and a road map, which customizes a product to suit a specific customer's needs. The document also discusses common issues like lack of visibility into a vendor's roadmap for customers, lack of communication from vendors about upcoming features and changes, and setting proper expectations with customers about what a roadmap represents and what customizations are possible.
Nontraditional Industries for UConn MS BAPM students' Job/Internship Consider...Shu-Feng Tsao
I offered a workshop to share job or internship opportunities outside typical technical and financial industries for Business Analytics and Project Management students at UConn.
Case Study: Increasing Product Returns at Amaron, Inc.Shu-Feng Tsao
A manager wanted to know what’s causing the increase in return rate (from Dec’15 to Jan’16). Root cause analtsis (RCA) was performed to figure out what’s happening with return rates.
A manager believed that Chiboodle should add salads to its menu based on a current survey. The project was called "Project Crunch." This case study aimed to present to CEO recommendations based on the revenue forecast, if Project Crunch were implemented.
My thesis aimed to find an association between older adults' fruit & vegetable consumption and their farmers' market shopping by studying seniors in Lexington, KY and Taipei City, Taiwan.
This Power Point Presentation was prepared as a part of Visual Analytics Assignment.
The objective of the presentation was to introduce yourself with correct balance between the verbal and non-verbal portion in the presentation.
I used points from my LinkedIn profile, YouTube channel, Wordpress blog and the information that you will get if you google my name
This document summarizes a data analysis project on H-1B visa applications and outcomes. The analysis used a dataset of over 600,000 records with 40 variables to:
1) Compare offered salaries to prevailing wages and determine if salaries differ by visa type or state;
2) Identify the states with the highest paying salaries for certain visa types; and
3) Use machine learning models like boosted trees, neural networks, and random forests to predict whether applications would be certified or denied based on factors like salary, location, and employer.
Milind Jagre Cloudera Certified Developer for Apache Hadoop CDH4Milind Jagre
This document certifies that an individual has passed the Cloudera Certified Developer for Apache Hadoop CDH4 exam. It was granted on December 13, 2013 after successfully completing the exam on December 14, 2013. The individual is now a Cloudera Certified Developer for Apache Hadoop on the CDH4 platform.
Business Decision Modeling for Manufacturing ClientMilind Jagre
I worked in a team of four people to come up with the strategic decisions for one of our manufacturing clients.
We used concepts of Business Decision Modeling to pitch our recommendations to earn a higher profit, without sacrificing the current quality of the project.
As a part of this project, I performed, Linear Optimization, Non-Linear Optimization, and Monte Carlo Simulation to come up with unique and interesting, obviously useful recommendations for the business to grow further.
I, along with the team of 5 people, prepared this presentation as a part of Project Leadership and Communication class in the first semester at the University of Connecticut's School of Business' Master of Science in Business Analytics and Project Management course.
It was a great experience where we culminated the ideas from the entire team, comprising of different ethnicities and religions.
We got to learn a lot of Project Leadership concepts when we studied the work done by Alan. The most impressive thing I found about him was his humor. He was so poised in the tumultuous situation, which even I want to learn more from him, and others.
In conclusion, I would like to recommend this class by Prof. Wilson to every student of the MSBAPM course here at UCONN.
I worked in a team of three people to enhance the management system of one of the privately held schools in India, named Mamathadevi Vidyaniketan.
We used Oracle SQL Developer to come up with the innovative approach with which a small school can be managed.
I led this project and worked on the Database Design for this project. I was in charge of approval of the data insertion, data manipulation process for this project.
Discovering Digital Process Twins for What-if Analysis: a Process Mining Appr...Marlon Dumas
This webinar discusses the limitations of traditional approaches for business process simulation based on had-crafted model with restrictive assumptions. It shows how process mining techniques can be assembled together to discover high-fidelity digital twins of end-to-end processes from event data.
Enhanced data collection methods can help uncover the true extent of child abuse and neglect. This includes Integrated Data Systems from various sources (e.g., schools, healthcare providers, social services) to identify patterns and potential cases of abuse and neglect.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
Data Analytics for Business Certificate for Shu tsao
1. Springboard certifies that
Shu Tsao
has successfully completed
Data Analytics for Business
an 80-hour online data analytics workshop that covers forecasting, customer lifetime value, customer segmentation, root cause
analysis, and funnel analysis through a case study-based approach. Shu applied Excel, SQL, and Tableau to provide actionable
business insights that were approved by an industry expert.
Parul Gupta
Head of Educational Programs, Springboard
Verified Certificate of Completion 53481 | October 31, 2016
Leslie Chen
Data Analytics for Business Mentor, Springboard
SPRINGBOARD
VE
R
IFIED C E RTIFICA
TE