Vivek Dwivedi profile photo 1 on Tal

Vivek Dwivedi

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

Greater Bengaluru Area

6+ years of work experience

Meesho
Jan 20251 yr 8 mosPresent

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.
Flipkart
Sep 20245 mosJan 2025

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.
Razorpay
Apr 20246 mosSep 2024

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.
Razorpay
Mar 20204 yrs 6 mosAug 2024

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.
Razorpay
Mar 20204 yrs 1 moMar 2024

Bengaluru, Karnataka, India

Vivek’s AI Stack

claude code
claude code

Education

shivaji university

Bachelor of Engineering, Computer Engineering

shivaji university

20154 yrs2019

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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