Mar 2022 – Apr 2022 · 1 mo · Durham, North Carolina, United States

• Helped a multinational technology giant analyze data to drive the cloud gaming business
• Analyzed 2M+ streaming quality metrics and user attributes data of Cloud gaming service
• Predicted user engagement and churn via SQL and Python and visualized data via Power BI
• Used multiple prediction models (Linear, Lasso, Random Forest, Logistic and Classification Tree) and evaluated their performance based on cross-validation and out-of-sample test.
• Generated insights into user experience and recommended solutions to enable the client to improve user engagement and retention

Apr 2021 – Jun 2021 · 2 mos · Bengaluru, Karnataka, India

Apr 2019 – Mar 2021 · 1 yr 11 mos · Bengaluru, Karnataka, India

Jul 2017 – Apr 2019 · 1 yr 9 mos · Bangalore

• Lead Targeting and Management
• In reaction to clients marketing goal to reduce lead acquisition cost, enabled a feedback enterprise system for agents which prioritized prospect leads in the insurance market to aid effective lead targeting and expand customer base
• Analyzed the purchase frequency and found that 25% of the leads had been repurchased from the same sources within 3 months. This enabled us to pin-point the root cause allowing the business team to centralize the lead purchase and distribution process helping save ~$10M
• Designed a monitoring and performance tracker to evaluate key metrics of customer acquisition. Created dashboards using Tableau to analyze the agent and campaign performance based on KPIs like conversion rate etc. and carried out significance tests to validate the same
• TV Network Exposure Segmentation
• Worked with the Marketing team to create segments to understand underlying demographic, credit and other factors influencing unique reach using Rule based and Algorithmic segmentation (K-means Clustering). This helped in identifying low performing networks
• Automating Model Validation
• Helped the Marketing and Operations team in the end-to-end automation of weekly reporting from data manipulation in Hadoop to publishing the report, through in-house proprietary tool
• Reduced the turnaround time for entire validation process by 80%
• Driver Analysis
• Developed look-alike models using Logistic Regression, Ensemble Decision Tree for an Insurance company to identify behavioral triggers leading a person to quote online before it even shows up in a lead list from an external vendor. This facilitated in optimizing lead acquisition costs by 15%.

Feb 2017 – Apr 2017 · 2 mos · Gurgaon, India

• Analysed CRM data to define strategy and business plan for Corporate Sales Team, establishing a strategic alliance with consumer electronic companies that resulted in recurring business for the company.
• Solely responsible for the Anti-Dumping cases for the company, which boosted the overall revenue of the company.

Jan 2017 – Feb 2017 · 1 mo · Gurgaon, India

• Analyzed key metrics to define the strategy for buying and sale of domains