Oct 2023 – May 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

• scaled and groomed a team of 17 data/applied scientists and machine learning engineers, ranging from DS1 to director
• developed 2 year strategic roadmap of DS initiatives for user experience improvement, cost of acquisition reduction and; activation, engagement and retention improvements to enhance customer life time value
• deployed more than 20 machine learning, deep learning, causal and GenAI models across batch, streaming and real time processing use cases
• generated more than 5% incremental revenue and nearly 10% active user count boost through ML
• managed cross platform experimentation tuned to measure even a 0.1% absolute lift in a range of metrics
• setup processes and cross functional engagement models to work with product, business, backend, data engineering, mlops and data infra teams

Jun 2022 – Sep 2023 · 1 yr 3 mos · Bangalore Urban, Karnataka, India

• developed open market risk model for real time underwriting, with 5% performance drop on a significantly thin API data compared to comprehensive scrub pulls
• designed an LLM powered marketing copy generator based on tabular data inputs to capture promotional attributes (hackathon)
• developed an API for real time inference and feature engineering (highly complex 200+ custom features) with under 20ms latency
• performed end to end analysis to identify potential growth opportunities in underwriting funnel
• developed roadmap for data platform to power ad targeting including usage of clustering, autoencoders and evaluation framework for efficacy
• designed the algorithm for optimisation of rate of interests by modifying reward function and converting continuous action space to discrete heirarchical arms in a contextual bandit algorithm

Nov 2021 – Jun 2022 · 7 mos · Bangalore Urban, Karnataka, India

• integrated baysian AB testing module in experimentation platform, reduced sample size requirememt by 50% for conversion tests
• designed dataset and algorithm for neural collaborative filtering to recommend food items, using alternating least squares and MLPs

Dec 2020 – Nov 2021 · 11 mos · Bengaluru, Karnataka, India · On-site

• led the data density effort with domain experts to improve recommendations across all types of content for learning
• developed evaluation framework for hidden markov models, used for concept mastery estimation on question attempts, by sampling input sequences and weighted outputs
• led the development for a range of student performance prediction and content selection/recommendation algorithms in tandem with knowledge graph contraints
• developed an evaluation framework for recommendation algorithms by simulating student personas and journey with node updates in a 65k concepts knowledge graph
• developed an end to end metric observability stack using docker, metabase, postgres and azure synapse for activation, engagement and retention metrics
• generated interpretive model based insights on ux elements to improve engagement through quantitative design feedbacks

Jul 2018 – Oct 2020 · 2 yrs 3 mos · Gurgaon, India

• identified and designed KPIs for dashboard feature on B2B fleet management platform
• worked on a trip management and eta feature that improved trip time SLAs in the mid double digits for inter city ecommerce large fleet owners
• worked on TBs of GPS data to identify traffic patterns and as a result, identified unplanned stoppages by truck drivers
• developed an automated vehicle allocation feature to optimise cost, using simulated annealing, lane classifier and mother hub classifier
• built a lane classifier by hashing millions of start and end points to location based behavioral clusters
• built a ranking algorithm for truck market place using lane classifier and mother hub classifier as primary input features
• created traffic routes across India using mean shift clustering and RDP algorithm on GPS trajectories, used it to identify flow patterns and good bidirectional demand centres for marketplace
• scraped multiple websites end to end to generate potential demand data for the sales team
• mentored junior data scientists in using interpretive ml models to improve sales executive efficiency, run experiments, optimise operations ground force using GPS data and geofencing
• build early risk models using truck gps data for unsecured lending and onboarded banking partners through proving discriminatory power of movement data in lending
• built a high throughput OCR and NER pipeline to automate 95% kyc verifications in house, reducing manual effort to 1/20th

Oct 2015 – Sep 2017 · 1 yr 11 mos · Sydney, Australia

• worked on validating and improving equity valuation model and ratios displayed on the app
• single handedly maintained company’s presence through equity market analysis on multiple platforms such as seekingalpha
• researched and developed quantitative formulas to drive data backed automated content generation for the news website, scaled to become primary growth channel

Sep 2013 – Aug 2015 · 1 yr 11 mos · New Delhi Area, India

• performed fundamental research at industry and company level capturing macroeconomic indicators and exhaustive financial statement and market research
• identified factors to automatically match stocks with trading playbooks during premarket hours
• created advanced scraping automation to pull financial data from more than 100 sources including rss feeds, scanner websites and news websites

Jun 2012 – Jul 2013 · 1 yr 1 mo · New Delhi Area, India

• developed personas from sales data for rebranding
• helped identify target groups for digital campaigns using sales data
• designed surveys to capture behaviour personas of target groups

Sep 2011 – May 2012 · 8 mos · Delhi Area, India

• regression and correlation analysis to identify factors affecting commodities prices across categories such as petroleum derivatives, base metals, tea, coffee
• identified cross hedging ratios for unlisted commodities through futures of listed commodities on CBOE
• wrote white papers on impact of key geopolitical events on commodities’ prices

Jul 2011 – Sep 2011 · 2 mos · Chennai Area, India

• Worked on creating and optimising financial scorecards of suppliers to reduce supply chain risk of multiple fortune 100 orgs