---
title: "Vivek Dwivedi - Lead Business Analyst in Greater Bengaluru Area | Tal"
description: "Meet Vivek Dwivedi, Lead Business Analyst @ Meesho | Ex - Flipkart | Ex - Razorpay based in Greater Bengaluru Area. AI stack includes claude code."
image: "https://tal.club/meet/vivek-dwivedi-1/share-image"
---

# Vivek Dwivedi on Tal

## Headline

Lead Business Analyst @ Meesho \| Ex \- Flipkart \| Ex \- Razorpay

## About

As a Data Analyst at Razorpay, a leading Fintech company in India, I work with multiple teams and stakeholders to provide data\-driven insights and solutions that enhance the customer experience and optimize the business performance\. I use SQL and Looker, a data analytics software, to create and maintain dashboards, reports, and visualizations that track and monitor key metrics and trends across various domains, such as payments, fraud, compliance, and growth\. I have a Bachelor of Engineering degree in Computer Science from Shivaji University, where I developed a strong foundation in programming, data structures, algorithms, and databases\. I also hold certification in Data Science, which demonstrate my continuous learning and upskilling in the field of data analysis\. I am passionate about finding patterns and insights from data and translating them into actionable recommendations that drive value and impact for the organization and the customers\.

## Location

Greater Bengaluru Area

## AI stack

claude code

## Work experience

Lead Business Analyst at Meesho, Jan 2025 \- Present · 1 yr 8 mos, Bengaluru, Karnataka, India, • Led a team of 12 analysts in product and platform analytics for Seller Experience and Trust & Safety\. • Conducted large\-scale data analysis in PySpark and SQL, recovering INR 24 Cr through payments analytics\. • Developed machine\-learning models to identify high\-risk suppliers, reducing seller cancellations by 40%\. • Awarded POD of the Quarter for three consecutive quarters for impactful contributions to analytics\.

Manager at Flipkart, Sep 2024 \- Jan 2025 · 5 mos, Bengaluru, Karnataka, India, Analytics partner for the Grocery product charter, working across Product, Operations, and Engineering\. Built end\-to\-end dashboards, metrics, and reporting frameworks from scratch to track business and operational performance\. Built demand\-planning and forecasting models to optimise SKU\-level inventory decisions across a high\-scale grocery supply chain; frameworks later scaled to Flipkart Minutes\.

Senior Analytics Specialist at Razorpay, Apr 2024 \- Sep 2024 · 6 mos, Bengaluru, Karnataka, India, Owned end\-to\-end product analytics across Payments and Checkout charters — defined key health metrics, ran product reviews with stakeholders to monitor OKRs, and drove data\-backed strategies for continuous improvement\. Drove the SR Booster initiative: identified key features influencing payment success rate, clustered merchants accordingly, and shipped enhancements that delivered a 6\.5% uplift in net revenue for targeted merchants\. Collaborated cross\-functionally to design experiments and implement data\-driven improvements, lifting payment conversion on the Razorpay checkout page by 2%\. Conceptualised and implemented a smart\-retry mechanism for UPI Autopay that cut payment failures by 4%, improving success across 10,000\+ monthly transactions\. Led the pod's BI migration from Looker to Tableau, rationalising metrics to eliminate 66% redundant dashboards and completing ahead of schedule \(Spot Award\)\. Automated analytics pipelines with Airflow and warehouse models, structuring RCA for key metrics in Python and saving 20\+ analyst hours per month\. Mentored junior analysts and standardised metric definitions cross\-functionally\. Awards: Spot Award, MVP\.

Senior Data Specialist at Razorpay, Mar 2020 \- Aug 2024 · 4 yrs 6 mos, Owned end\-to\-end product analytics across Payments and Checkout charters — defined key health metrics, ran product reviews with stakeholders to monitor OKRs, and drove data\-backed strategies for continuous improvement\. Drove the SR Booster initiative: identified key features influencing payment success rate, clustered merchants accordingly, and shipped enhancements that delivered a 6\.5% uplift in net revenue for targeted merchants\. Collaborated cross\-functionally to design experiments and implement data\-driven improvements, lifting payment conversion on the Razorpay checkout page by 2%\. Conceptualised and implemented a smart\-retry mechanism for UPI Autopay that cut payment failures by 4%, improving success across 10,000\+ monthly transactions\. Led the pod's BI migration from Looker to Tableau, rationalising metrics to eliminate 66% redundant dashboards and completing ahead of schedule \(Spot Award\)\. Automated analytics pipelines with Airflow and warehouse models, structuring RCA for key metrics in Python and saving 20\+ analyst hours per month\. Mentored junior analysts and standardised metric definitions cross\-functionally\. Awards: Spot Award, MVP\.

Data Analyst at Razorpay, Mar 2020 \- Mar 2024 · 4 yrs 1 mo, Bengaluru, Karnataka, India

## Education

Bachelor of Engineering, Computer Engineering, shivaji university

[View the original profile](https://tal.club/meet/vivek-dwivedi-1)

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