Nov 2022 – Jun 2025 · 2 yrs 7 mos · Panchkula, Haryana, India · On-site

• Collaborated with CXOs to devise strategies for player retention, implementing tailored bonus schemes for different player segments, resulting in increased retention rates by 2% among high rollers.
• Implemented CleverTap event tracking/user profile updating using AWS Lambda to improve player engagement and app usage through personalized communication.
• Enhanced the player matchmaking by creating a predictive machine learning model on when all ongoing games will end and joining the player on the table with least time left hence decreasing player wait times by 60 seconds on average resulting in decreased player dropouts by 10%
• Optimized SQL queries, reducing database load and runtime by 70%, and created standardized Tableau dashboards for monitoring user behaviour metrics.
• Developed and deployed True skill ranking system using Python for enhancing player matching, by matching similar skilled players and hence increasing overall retention by 5%.
• Analysed ongoing user inactivity using SQL, Python, Tableau with following findings/results:
• Optimization of inactivity communication and bonus offerings using A/B tests.
• Gap Filling with new offerings where no inactivity campaign was present.
• Developed a Python program to do Pan-Aadhaar OCR to fetch necessary data for KYC resulting in cost reduction of 5 lacs per month.

Aug 2022 – Nov 2022 · 3 mos · Hyderabad, Telangana, India

• Established data pipelines using dbt to extract and transform data from AWS Redshift and Google Cloud Storage, facilitating the creation of PowerBI dashboards for ecommerce analytics.
• Developed PowerBI Dashboards for ecommerce analytics tracking Ad spend, Ad sales, Product Sales, conversions rate, revenue model etc.

Feb 2022 – Aug 2022 · 6 mos · Bengaluru, Karnataka, India

• Conducted analytics using MySQL and Tableau to derive insights for strategic planning, customer engagement, and monitoring various internal KPIs, and keeping slack alerts on the most important metrics.
• Spearheaded the creation of a robust data lake architecture leveraging AWS services(AWS Lambda, AWS S3, AWS Athena, AWS Glue etc.), integrating data from various internal SQL, NoSQL databases, and third-party sources such as Moengage and different APIs, resulting in a centralized data repository for streamlined and faster analytics processes.
• Developed an ensemble predictive machine learning model using python to identify potential lead conversions and set up a webhook to the tech team to keep these leads in focus for the users, resulting in a 10% increase in lead fulfillment.
• Developed a combination of predictive machine learning model and rule based model using python to identify potential products for different customers that the agent had added based on users’ credit report data.
• Analysed user-level lead fulfillment and categorised users based on their performance in different financial products and created daily user targets on the basis of above data, thereby increasing average lead fulfillment up by 2 per user per day.

Jun 2020 – Feb 2022 · 1 yr 8 mos · Mumbai, Maharashtra, India

• Developed Alteryx workflows for automating data retrieval, cleansing, and analytics tasks, significantly reducing manual effort by up to 60%.
• Developed Tableau dashboards for monitoring various regulatory guidelines being followed and set up email alerts for exceptions, interlinked multiple dashboards for ease.
• Setup the entire automation of above Alteryx workflows on Alteryx server using custom easy to use excel based scheduler and custom template workflow to be easily used by various teams.
• Developed NLP model on user complaints data using Python, leveraging Python libraries for data preprocessing and analysis, and ensemble using TF-IDF, UMAP, GOWER’s distance calculations to form clusters of similar complaints leading to improved regulatory compliance.
• Developed my own tool in Alteryx using Python SDK for the above model to be run on schedule on Alteryx Server.

Feb 2019 – Jul 2019 · 5 mos · Mumbai, Maharashtra, India · On-site