May 2024 – Sep 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India

• Product Analytics & Experimentation
• Spearheaded 10+ A/B experiments (e.g., Orderpad CTA reordering, MPP toggle, Order preference flow), using t-
• tests and chi-square methods, leading to ~12% increase in order submission rate and ~9% drop in failure triggers
• post optimization
• Developed an Excel-integrated statistical significance script, reducing dependence on third-party calculators and
• cutting experiment analysis time by 60% across the analytics team
• Automated tracking using dynamic Excel ranges & Python scripts, streamlining reporting for multiple tests and reducing manual effort by ~30 hours/month
• Exploratory Data Analysis (EDA) & Insight Generation
• Conducted funnel-based behavioral deep-dives on modules like Orderpad, MTF Journey, Stoploss Orders, and
• Stock SIP, identifying drop-off points and enabling feature pivots—resulting in 8–10% conversion improvements
• across journeys
• Leveraged Sankey diagrams (Python + Plotly) to visualize multi-step user behavior across CTA actions
• Data Infrastructure & Automation
• Led instrumentation QA for XXXL modules like Set Exit, TSL, and Orderpad revamp—validated 100+ events and 200+ meta tags with QA/devs—ensured 100% tracking accuracy and prevented critical post-launch data gaps
• Built a modular Python-based dimension validator for 2.1 event migration, aggregating valid meta-value combinations across modules—saved ~50+ analyst hours in QA
• Automated Day-0 dashboards using Databricks cron jobs and Excel macros, enabling T+1 rollout insights and
• rapid post-release feedback loops.
• Strategic Metric Design & Business Impact
• Co-owned definition and refinement of north star metrics (e.g., submission %, completion %, funding-to-order
• conversion) with PMs; used historic benchmarking and funnel breakouts to drive prioritization of 10+ PEs.
• Pre-sized PEs using behavioral backtesting, synthetic cohorts, and engagement forecasting —avoided misaligned feature launches and enhanced targeting decisions..

Nov 2022 – May 2024 · 1 yr 6 mos · Gurugram, Haryana, India

• 1) Conducted in-depth data analysis (using SQL & Python) to identify trends and insights of
• Frauds/scams happening on the platform, done feature engineering and closely worked in creating
• ML models using these features, leading to a 90% decrease in monthly frauds.
• 2) Further launched eKYC for users who seem to be less authentic on the basis of their digital
• footprints (various API hits on different social media, e-commerce and other digital platforms) as a
• pre-requisite action, stopped 75% of fraudsters from entering the platform
• 3) Worked on CSAT, customer support tickets, OPs calling processes and derived action items through
• the process, resulted in decreased resolution TAT, less number of support tickets and greater CSAT and better NPS score
• 4) Launched and Increased the performance of a Self-Verification tool:
• a. Helped in designing various screens of the tool (Figma), i.e. from Landing to verification done
• b. Post launch of the tool, analysed funnel of the tool with the help of Google events analytics, in
• order to find the gap and reason where and why users are dropping off from the funnel
• c. Added various features and steps to enhance user experience - did various sensitivity analysis and A/B Testing to improve product
• funnel conversion from 10% to 40%
• d. Worked on adoption of new users as well, pro-actively sent customised campaigns (Whatsapp, SMS & App notifications) and targeting the right audience for campaigns, resulted in more number of users landed on SV tool
• 5) Created & Automated a lot of of data flows and processes (BI Analytics):
• a. Writing and reading spreadsheet data through database using Python in both Jupyter &
• Databricks
• b. Pulling out various data cuts and analysing data while doing RCA, sensitivity analysis, A/B
• Testing etc in SQL and provided key insights to Stakeholders
• c. Worked extensively on visualisation part of the data as well, created many TABLEAU
• dashboards for respective stakeholders and tracking of important metrics

May 2021 – Oct 2022 · 1 yr 5 mos · Gurugram, Haryana, India

• 1) Led a multi-country primary market research study across various continents that entailed analyzing product perception and awareness, market potential, competitor landscape and performed driver analysis for a Fortune 500 company.
• 2) Led a Go To Market and Market Map project for the new product launch including Market mix, Targeting & Tiering for HCPs by using SQL & Advanced excel to analyze secondary data and provide the most relevant customer for the new product launch.
• 3) Worked on a Brand Analytics project in order to increase reach and engagement with the customers by using R/RStudio & Advanced excel to analyze secondary data and provide insights to optimize the marketing and promotion budget.

Dec 2020 – May 2021 · 5 mos · Varanasi, Uttar Pradesh, India

May 2019 – Aug 2020 · 1 yr 3 mos

May 2018 – Aug 2020 · 2 yrs 3 mos

Jun 2018 – Jul 2018 · 1 mo · Bawal, Haryana

• The project included the study of manufacturing of gears and the whole gearbox assembly of HONDA Amaze and other four wheelers.
• 1) Assisted in the experimental analysis for finding the causes of rejections and poor quality of gears.
• 2) Using the analysis, the quality of the products was improved leading to 15 % scrap reduction.

Aug 2016 – Aug 2020 · 4 yrs · Kurukshetra

• Designed Brakes for an All Terrain Vehicle , participating in BAJA SAE INDIA & BAJA SAE USA every year.
• Custom built front caliper to reduce the over braking leading to 17% reduction in stopping distance.
• Inboard brakes in rear braking-Reduction in unsprung mass.
• Designed Brake Disc with proper simulation leading to 48% weight reduction.