Mar 2021 – Oct 2023 · 2 yrs 7 mos · Bengaluru, Karnataka, India

• I have worked on launching multiple new products from the scratch like Futures & Options, US Stocks. Have worked with PM’s and Business heads in improving the discovery, A/B Testing engagement and retention of these products. This has improved the discoverability by 12x and making this most revenue generating product of Groww.
• Built multiple inhouse products like Margin Calculation, PNL, Charges, Fund Allocation for all the users which removed third party dependency and saved 1.5Cr per annum.
• Trader User Personalization: Made trader user personalization based on their browning history which leads to 43% increase in CTR and orders by 8%.
• NSE Churn Analysis: Led a cross functional project in understanding user cohorts churning on platform, identifying their characteristics and driving actionable on the pain points to increase reactivation (Regained 5pp churned users and further potential of 10pp). Created dashboard for visibility to founders for same.
• Engagement Funnel: Frontend engagement funnel from home page till order cart and identified drops leading to actionable like payment getaway failures, etc. (Increased fid conversion by 1pp).
• Analytics Hiring: Single handedly led and managed the complete analytics hiring process for different levels by collating different team requirements, analytics OKRs and planning the size.
• Customer clustering: To identify intent users (facing issue/education seekers/others) vs non-intent users (only frontend engagement/only exploring users) upon completing onboarding using multiple parameters (potential FID conversion by 5pp).
• Have worked in streamlining data sanity issues and was able to create uniformity across the data issues and was able to create core tables and multiple dashboards which will be the single source for the necessary data.
• Automated multiple tasks and have developed multiple dashboards reducing the man hours and improved better performance of team.

Apr 2018 – Mar 2021 · 2 yrs 11 mos

• Customer Fraud Detection:- By conducting Exploratory Data Analysis (EDA) on the customer return profile, I discovered patterns that identify customer fraud. This valuable insight allowed Amazon to reduce losses by 90% from fraudulent customers and increase profits, ensuring long-term business success.
• Cost Saving Initiative: Implemented VGR Project (Virtual Guarding Response) wherein physical presence of SLP at dock can be substituted with CCTV surveillance result in cost optimization.
• Missing Return Detection:- I created a rule engine for optimized returns management, flagging returns likely to be lost or not restocked. The solution streamlined returns and reduced losses for the company. I also built a dashboard to track the rule engine's performance, providing stakeholders with real-time insights for continual improvement.
• Loss 360 Dashboard :- I created multiple dashboards to monitor KPIs and optimize supply chain management processes. The dashboards provided insights for proactive decision-making. I also automated the month-end closure of books to improve efficiency and accuracy. These initiatives optimized supply chain ops, reduced errors, and gave stakeholders clear performance metrics.
• Predictive Modeling: Worked closely with ML team in building a model to predict the probability of the shipments getting lost and monitoring the high risk shipments closely.
• Automation: Automated majority of the reports with the help of Advanced excel and automated SQL queries. Built a central level tableau dashboard for tracking all the metrics and insights.

Apr 2017 – Apr 2018 · 1 yr

• Data Analyst in Security and Loss Prevention Team

Sep 2015 – Apr 2017 · 1 yr 7 mos · Greater Bengaluru Area