Sep 2024 – Sep 2025 · 1 yr · On-site

• ◦ Monitored 10M+ MAU withdrawal KPIs, tracked $100M+ daily transactions, automated MBR reporting with 95%+ accuracy, and RCA on fluctuations to deliver 8% reduction in withdrawal failures and 12% faster TAT.
• ◦ Executed A/B experiments across 500K+ users, mitigating a 15% drop-off in KYC registrations, optimized exploration UX, leading to 20% uplift in verification rate and 10% decrease in user drop-offs in Payouts flow.
• ◦ Owned 5+ dashboards, processed 50+ ad-hoc requests/month, built ETL pipeline and created real-time alerts for fraud/limit-breach transactions, identifying 1K+ pennydrop-failed users (potential AML)

May 2024 – Jun 2024 · 1 mo · Bengaluru, Karnataka, India · Hybrid

• Worked under the Assistant Director (Revenue) to track WPS, Callbreak & Poker(Top 3 revenue generating games) aiding data-driven decision making.
• Engineered complex SQL queries utilising CTE’s to track KPI’s such as Fill_rates, Actual Vs Configured Tournament Duration, and Financial Summaries (Credit, Debit & Refund) to assess Win Patti Skill (WPS) tournament success.
• Classified users as upsell & downsell by tracking changes in user roller categories over time, contributing to enhanced targeted marketing and retention strategies.
• Generated Reports combining financial, time-based and user-participation data to evaluate tournament performance, user engagement & acquisition (new vs internal-shift users), aiding in strategic decision-making for future game launches

Jan 2024 – May 2024 · 4 mos · Gurugram, Haryana, India

• Contributed to the enhancement of GroundTruth's data analytics infrastructure through script optimization, improving code readability & by boosting efficiency of existing functions.
• Integrated data retrieval from various sources including AWS, Athena, Python Scripting to generate expense reports for ad partners.
• Ensured compatibility and integration with AWS services for data extraction and storage.
• Leveraged Boto sessions for seamless transfer of updated datasets to designated S3 buckets, employing optimized coding practices for improved performance and scalability.
• Enhanced Query performance twofold by implementing CTEs and WITH clauses, achieved a 50% reduction in runtime.

Nov 2023 – Jan 2024 · 2 mos · On-site

• Handled a robust database consisting of 6.28 crore records, employing sophisticated queries to extract actionable data insights.
• Collaborated with Product Managers to facilitate informed, data-driven decisions, resulting in multiple client deal conversions.
• Implemented a comprehensive lead scoring system for several clients encompassing both commercial and non-commercial vehicle segments, to assess potential client viability.
• Worked with a team of Seniors Developers to build a PRD for a data migration pipeline for capturing data from inhouse cacheDB to PostgreSQL for future analytics.

Oct 2022 – Dec 2022 · 2 mos

• ◦ Web Scraping: Wrote an automated script to scrape translate the data from native educational websites
• ◦ Data Analysis to help make better data driven decisions
• ◦ Deploying the Web app on Streamlit for visualization and inference
• ◦ Top contributor in Data Analytics Round

Aug 2022 – Aug 2023 · 1 yr

• Maintainer of ML repository of GDSC VITB, overlook Pull requests and issues
• Strategising and Executed various seminars and events conducted by the club.
• Overseeing issue resolution and ensuring smooth collaboration between teams.

Jan 2022 – Aug 2022 · 7 mos

• Core Committee Member in ML Team at Google Developers Student Club
• Guiding the ML technical community.
• Hosted watch-events and many community calls.
• Organized and maintained projects in the GitHub organization.
• Conducted online event on Machine learning and Deep Learning
• giving a detailed overview to everyone interested in the field of
• AIMLDL impacting over two hundred students.

May 2022 – Jun 2022 · 1 mo

• Worked on a Linguistics and Semantics project for obtaining Natural Hindi Words from Universal Semantic Representations in WX notations.
• Wrote a Script in Python and automated it, to generate the MORPH analysis of USR files, consecutively passed into terminal to generate the words in WX notations
• Got well acquainted with File handling, Virtual Environments, Exception Handling, their applications and various related Operating Systems such as Ubuntu, Linux, etc.

Jan 2022 – Feb 2023 · 1 yr 1 mo · Work From Home

• Democratizing data science education for college students as well as people looking for a change in industry
• Day-to-day responsibilities include:
• 1. Developing educational content articles pertaining to the field of data science
• 2. Transformed unstructured data into proper datasets so that
• they could be used for machine learning and deep learning
• datathons.
• 3. Increased the active participation of students manifolds.