Feb 2024 – Jul 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Deposit Cashback Offers: Spearheaded deposit growth initiatives as part of the Central Revenue Team, driving a 68% YoY uplift in the first year and 43% in the following year. Collaborated with Data Science to design and run A/B experiments, building user-personalised offer constructs using historical transactional behaviour. Developed scalable Offer Difficulty frameworks, improving offer targeting precision, while consistently maintaining an ROI guardrail of 80–100% across categories.
• Cross Sell: Defined and standardised the Cross Sell Index as a key engagement metric. Built multi-class classification models using Neural Networks and LightGBM algorithms to predict the highest propensity categories for repeat users, achieving 75% Recall, 83% Precision, and 79% F1 Score. Enabled precision targeting through Lobby Surfacing, Featured Events and Task-for-Reward systems, increasing the Cross Sell Index from 0.85 to 1.07 within 4 months.
• Spin Levers: Designed persona and spin-based frameworks (e.g., New, High/Low RTP, Offer Abuser, Redepositor) to optimise targeting and address gaming taxation policies. Partnered with Product to launch XP Penalty on Withdrawals, reducing re-depositors by 1.5%, improving Margin Spin by 2.2% and CM1 Spin by 4.1%. Built a Withdrawal Propensity Model with 80% Recall and 60% Precision to predict 24-hour withdrawal likelihood; executed A/B tests with ‘Gift Box’ (cashback for freezing withdrawals) and ‘Winning to Deposit’ (cashback for converting winnings), driving a 2.9% GMV spin uplift pre-post.
• Growth Analytics: Led spending projection and planning, guiding monthly budget allocation. Estimated uplift in retention across New, Repeat, and Resurrected users by quarter to support 2X YoY PDAU growth. Standardised definitions for Preferred Category and Rollers using Last Active Day – x days based (GMV/Margin) logic, adopted org-wide. Automated trackers for category and roller-level funnels with real-time Slack/email alerts.

Jul 2022 – Jan 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Led Central Revenue Team, boosting Deposits by 68.2% and transactional value by 28% YOY. Collaborated with the Data
• Science team to conduct A/B experiments. Developed Offer Difficulty and ADV framework to enhance model performance.
• Established Cash Lobby 2X Estimation models and fraud check mechanism. Led DCB and TFR spending projection and
• planning, guiding monthly budget allocation. Automated end-to-end trackers for preferred category and roller-level funnels,
• enabling real-time monitoring with hourly slack and email alerts for revenue metrics and key credits.
• Implemented persona-based (New, High RTP, Low RTP, Offer Abuser, Redepositor) and spin-based frameworks which helped to
• determine the target users and navigate gaming taxation policies. Collaborated with Product and Data Science for the "Winning
• to Deposit" strategy, managing deposits effectively to control GST implications in gaming.

Apr 2022 – Jul 2022 · 3 mos · Bengaluru, Karnataka, India

• Executed A/B experiments on Featured Events, analyzing metrics such as CTRs, CPDAU %, incremental margin, and game
• plays. Implemented tracking mechanisms to monitor user clicks and conversion rates across screens, widgets, reels, and banners.
• Conducted RCAs on new user mission cost analytics and D0 PDAU to CPDAU drop across various game types and segments.
• Established a heuristic framework for new user activations based on games played per active day at a category level.

Jan 2022 – Mar 2022 · 2 mos · Bengaluru, Karnataka, India

• Devised a process for the Chargeback POD to automate the entire document generation process of Chargebacks to reduce manual effort by creating a Python Script by connecting to the Redshift database. Created a Tableau dashboard to track various KPIs including the number of chargebacks contested, accepted and % Chargeback Shares in the different business verticles.
• Created Disposition of Tags for the Fraud Calls by analysing the historical data received from the Data Science team. Created a User Calling funnel dashboard using Tableau for Risk & Fraud POD to track various KPIs for Fraud and Non-Fraud Calls.

Dec 2021 – Jan 2022 · 1 mo · Bengaluru, Karnataka, India

• Cart DropOff Experiment and Search Flow Optimisation: Exploratory understanding of users dropping off after ATCs based on SKUs, L1 and L2 Business Categories and Brand Name. Created a mechanism to determine the Fuzzy or similar search terms.
• Category Re-Jig Experiment: Performed a pre-post experiment to determine the outcome of the Product enhancement by tracking various metrics like click-through rate and atc per impression at category and subcategory level.
• Driver SKUS and Product Combos: Automated the process of creating combos by developing a scoring mechanism, ranking based on the number of times the combo was bought together. The average order value of these tasks was 55% higher than the normal SKUs.

Nov 2021 – Dec 2021 · 1 mo · Remote

• - Annotated and labelled all the training data of the educational websites to ensure error-free data tagging to feed into the Machine Learning models to create a question answering application for educational purposes.

Oct 2021 – Nov 2021 · 1 mo · Bengaluru, Karnataka, India

• - Worked for the Product Pod, analysed user engagement of "Trell Chats" through various metrics on MIS. Worked on SQL queries using Google BigQuery and Metabase and defined events for the latest version of Trell Chats to obtain data on key metrics and created automated reports to highlight the spikes in data used for further analysis.

Aug 2021 – Aug 2021 · 0 mo · Hyderabad, Telangana, India

Jun 2021 – Sep 2021 · 3 mos · Delhi, India

• Performed KPrototype clustering on the driver profiling data to deduce better insights and increase the efficiency of the onboarding process. Forecasted the onboarding funnel, performed Time Series Forecasting using ARIMA and Fbprophet to determine the number of leads to be generated based on previous trends.
• Devised a process for the installation of Swapping stations. Used the location-wise number of pickups and count of vehicles for rides as a metric to determine the demand. Performed Marker Cluster Analysis and created heatmaps using the Folium library to plot planned and active swapping stations for the energy division.
• Designed an end-to-end tracker for the delivery onboarding process, performed "Turn Around Time" analysis to remove inefficiency and devise a better strategy for the driver onboarding process.
• Validated and mapped data with the schema. Wrote SQL queries in PostgreSQL and Redshift to draft various reports, performed data visualization using PowerBI and created several dashboards in the Metabase.

May 2021 – Jul 2021 · 2 mos · Remote

• Leveraged techniques to build a Recommendation Engine that informs building owners whether a specific building is suitable for sustainable solutions or not. Performed ETL and built a web-based application that uses a Classification model to estimate the ROI for LED retrofits in facilities to optimize and improve building occupant health and productivity which has social impacts of renewable energy, water conservation, and other environmental solutions adoption.
• Tools/Technologies: PostgreSQL, Python, Random Forest Classifier, Places API, Flask, Amazon EC2.

May 2021 – Jun 2021 · 1 mo

May 2021 – May 2021 · 0 mo

Feb 2021 – Feb 2021 · 0 mo

Jan 2021 – May 2021 · 4 mos

• - Founding Member of the Mathematics and Computing Cell. Led a team of 20+ members and responsible for facilitating all the departmental activities.

Dec 2020 – Jul 2021 · 7 mos · Ranchi, Jharkhand, India

• - Evaluated the performance of some of the prominent available Deep Convolutional Neural Networks in Writer Independent Signature Verification for automatic recognition of the signatures. Used MobileNetV2, InceptionV3 and ResNet50 Deep Convolution Neural Networks to surpass existing benchmark.

Nov 2020 – Nov 2020 · 0 mo

Jun 2020 – Jan 2021 · 7 mos

• Led a team of 60+ members and responsible for ensuring the club's professional and leadership development.

May 2019 – Jun 2020 · 1 yr 1 mo

• Led a team of 50+ members and responsible for organising and implementing all the socio-cultural events of the club.

Aug 2017 – May 2019 · 1 yr 9 mos

• Responsible for organising and implementing all the socio-cultural events of the club.

Dec 2019 – Feb 2020 · 2 mos

• - Led a team of 50+ members to organise wide-ranging events with 15k footfall in Technical Fest of BIT Mesra. Responsible for overseeing the budget, sponsorship and all other aspects of financial management.

Aug 2019 – Sep 2019 · 1 mo

• - Led a team of 30+ members to organise wide-ranging events with 5k footfall in Technical Fest of BIT Mesra. Responsible for overseeing the budget, sponsorship and all other aspects of financial management.

Jul 2019 – Jul 2019 · 0 mo · Hyderabad Area, India

Jun 2019 – Jul 2019 · 1 mo · Hyderabad Area, India

Jan 2018 – Mar 2018 · 2 mos

• - Represented the annual technical festival of IIT Delhi, Tryst. Responsible for increasing the outreach of the festival by getting event registrations and increasing its reach on various social media platforms.