Sep 2024 – Present · 1 yr 6 mos

Oct 2023 – Sep 2024 · 11 mos

Mar 2023 – Oct 2023 · 7 mos

Jan 2023 – Feb 2023 · 1 mo

Mar 2022 – Dec 2022 · 9 mos

• Generated 100M USD EBIDTA via strategic deployment of working capital credit product across 10 markets on investment of 700K USD
• Increased net revenue by 5 pp & decreased overdues by 50% by setting up experimentation platform to launch pilots & track KPIs
• Saved 1500 man-hours/ month by setting up team to productize AI models via MLOps best practices & increase operational efficiency
• Generated 15 M USD in incremental interest revenue across markets by further monetizing customers via charging interest rates
• Scaled the credit product 50X from 4000 to 200K DAU & increased GMV proportionately from 10 M USD to 500 M USD

Oct 2021 – Feb 2022 · 4 mos

• Generated 1 M USD EBIDTA by building & deploying long term credit product in 1 market with an investment of 50K USD
• Procured investment of 1M USD by leading due diligence with investors like Goldman Sachs & IFC to diversify risk underwriting
• Built & drove execution with a 60% adherence rate against a product roadmap by iterating on a quarterly basis
• Designed & drove adoption of 10+ strategic dashboards consolidated as Global credit visibility cockpit regularly viewed by global CXOs
• Built & led team of 3 designers to build dashboards enabling faster decision making & monitoring by providing UI mockups
• Built & led team of 4 data engineers to transfer data across 4 platforms and build a common datalake to host data assets

Mar 2021 – Sep 2021 · 6 mos

• Led Data Science efforts in developing credit risk models for ABI’s short-term and long-term credit product. Studied existing analytical models and business process of working capital credit in Brazil & Mexico; identified areas of improvement in the analytical model; proposed revised framework to solve for them.
• Collaborated with ML Engg. to deploy the model training & scoring pipeline DataBricks and Azure ML.
• Set up an A/B test experimentation platform to launch a pilot and set up a KPI tracking process on PowerBI resulting in an increase in net revenue by ~5 pp and decrease in overdues by ~50%

Sep 2019 – Feb 2021 · 1 yr 5 mos

• Procured CapEx of 600K USD to set up & recruit a team of 8 of data scientists, engineers & designers to scale premiumization vertical
• Boosted productivity by 20% by building a replicable model monitoring & back-testing product tracking accuracy, data & concept drifts

Jul 2018 – Aug 2019 · 1 yr 1 mo

• Built & scaled Market Entry product to identify 500K+ bars in a new market across 8 markets including Qatar for 2022 FIFA World Cup
• Reduced data exploration cost by 100% (50K USD savings) via continuous improvements in proprietary exploration algorithm
• Devised a proprietary algorithm to identify bounding polygons of various geographies by extracting data via OpenStreetMap APIs
• Deployed Customer Acquisition product to 30+ countries by productizing string-matching AI algorithms to generate lead pipelines
• Reduced 1500 man-hours/month against existing process by creating one-click automated AI solution to match multiple datasets
• Increased adoption by 20% by building closed funnel tracking mechanism for BDRs leading to increase in sales conversion by 3%
• Increased algorithm accuracy by 10% by building a novel way of segmenting customers based on geocoordinates
• Improved sales penetration by 6% by optimizing BDR area allocation to identify bars in vicinity of existing commercial areas

May 2017 – Jun 2017 · 1 mo · Bengaluru, India

• Worked at the biggest beer company of the world on 3 different projects involving techincal analysis, global collaboration and extensive research in the field of Machine Learning
• Propounded 4 new up-takings to improve business - 2 of which were implemented by the Indian
• Business Unit in Bengaluru
• Pre-Placement Offer: Offered to join as a full time business analyst at the Bengaluru office on the
• recommendation of Global VP, Analytics
• 1). Event Sponsorship Project, Global Sponsorship Team, Global Headquarters
• Pinpointed top 5% influential sponsorship avenues by mining data using Facebook's Graph API
• Established a brand-event category correlation for 8 brands by performing social media analytics
• Generated actionable insights to optimize allocation of 360 MM USD sponsorship budget
• 2). POC Clustering Project, POC Eagle Eye Team, Growth Analytics Centre
• Implemented restrictive clustering algorithms to identify similar 6MM POCs in USA & Thailand
• Validated the results against Google’s Recommendation System obtaining a match rate of 86.2%