(1) Managed A/B Testing, demonstrating a significant 10% enhancement in Mid of Year average marks for 4th standard students benefiting from remediation, aligning with data-driven insights.(2) Led the development of the DoorDarshan Dashboard using SQL, Pandas, and Looker Studio, improving product usage insights and issue identification. Reduced disconnections from 20% to 1.6% across 106 schools and 1900 teachers, enhancing operational efficiency.(3) Developed a Python Script to solve cross-platform ad-hoc tasks, establishing connections to multiple databases to extract KDM/School Owner’s email IDs and contact numbers, facilitating the recovery of pending amounts of 25 million from schools and enabling critical communications for the management and strategic teams.(4) Employed Airflow and Bitbucket to automate 40+ interdependent workflow on the scheduler, reducing time and enhancing departmental efficiency.

(1) Conducted market surveys and analyzed data using SQL, Pandas, Numpy, and Seaborn, resulting in a 15% increase in customer engagement.(2) Collaborated with content teams to conduct SWOT analysis, identifying key market entry opportunities, resulting in a 10% increase in market penetration.(3) Oversaw project documentation, including data-analysis steps and findings, facilitating informed decisions.(4) Demonstrated structured thinking by managing financials and strategies on a 20 lakh budget for a 6-month platform launch.

Project: Micro-Econometric Data Analysis Using STATA 1. Extracted firm-level data using the PROWESS-IQ database.2. Analyzed industry-specific data using econometric models using STATA and R.