Sep 2019 – Dec 2019 · 3 mos

• Statistics in Business Analytics (R)

Aug 2019 – Dec 2019 · 4 mos

• Data Science with Python

Aug 2019 – Dec 2019 · 4 mos

May 2019 – Aug 2019 · 3 mos · Madison, Wisconsin Area

Aug 2018 – Dec 2019 · 1 yr 4 mos · Hartford, Connecticut Area

• Establishes and maintains relationships with internal and external clients and service provider
• Partners with the executive team in formulating and implementing action plans for the club’s enhancement and sustainability
• Drives UGC's strategic planning initiatives
• Manages relationships with the UGC and UConn alumni
• Facilitates the smooth running of logistics
• Help in laying out the rules of the club in consultation with the entire leadership team
• Working as a Senior Consultant(also) for the company "Feel Good Lab", handling their analytics and marketing section
• Tracking and reporting key performance metrics, traffic behaviors and campaign performance using Google Analytics
• Strategizing the product line by market analysis and Maintaining client databases and dashboards to monitor sales pipeline

Aug 2018 – Apr 2019 · 8 mos · United States

• Tracking and reporting key performance metrics, traffic behaviors and campaign performance using Google Analytics
• Strategizing the product line by market analysis and Maintaining client databases and dashboards to monitor sales pipeline
• Develop and implement analytics models and visualization tools
• Develop and operationalize data standards, quality and governance across the enterprise
• Develop new data sources and analytic methods

Aug 2016 – Jul 2018 · 1 yr 11 mos · Delhi Area, India

• Analyzed the marketing channels of the company (Market Mix Modelling) to identify the most efficient channels for participant’s registration and ticketing
• Improved e-commerce website traffic through data analysis using Google Analytics, A/B testing by 60%
• Performed customer segmentation using Machine learning algorithms and marketing analytics to get the participant lifetime value, increasing participants engagement in various sports tournaments by 32%
• Generated and analyzed reports to track player’s performance and tournament’s KPIs through Tableau-based dashboard, achieving a man-hour saving of 10 hours/week, garnered appreciation from the higher management
• Create analytics for Manufacturing, Purchasing, Product Development, Human Resources, Legal, and other areas of the business where data can drive improvements
• Standardized data collection process from multiple systems & subsidiaries to normalize and store information on an on-going basis by working with a global data analytics team for customer
• Behavior analysis and market segmentation
• Build a prototype to consume real-time data, and report at least one metric

Jul 2015 – Jul 2016 · 1 yr

• Analyzed and automated the process flow to transition data from GPS tracking sources to Hadoop, reducing turnaround time from 4 days to 6 hours
• Implemented a Survival Analysis based accident risk model for enhancing the proprietary in-house driver scoring algorithm.
• Analyzed quantitative data collected from GPS tracking to understand drivers’ behavior, vehicle demographics and delivered actionable insights using Google visualization APIs and Tableau, increasing sales by 26%
• Automated analytical reports using SQL and business intelligence tools (OBIEE, ODI), performed regression analysis for end to end process for prediction & forecasting of sales, resulting in revenue boost by 25%
• Leverage latest techniques in machine learning and ‘big data’ to model internal and external data sources
• Work with large data sets from multiple sources and create visualizations to answer key business questions
• Research and develop models to quantify exposure to various sources of risk (credit, residual, market, operations, regulatory and compliance)