---
title: "Anand Negi - Analytics Specialist - UPI Products in Bengaluru | Tal"
description: "Meet Anand Negi, AI Product Analyst with 4+ YOE | LLM Systems | Razorpay | Ex-Rapido, Ola Electric based in Bengaluru. AI stack includes anthropic apis, claude code, and langchain."
image: "https://tal.club/meet/anand-7/share-image"
---

# Anand Negi on Tal

## Headline

AI Product Analyst with 4\+ YOE \| LLM Systems \| Razorpay \| Ex\-Rapido, Ola Electric

## About

Perceptive and logical data enthusiast with ability to communicate with both technical professionals and end users to fulfill business requirements\. 4 years of experience driving data accuracy and integrity\. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

langchain

mcp

## Work experience

Analytics Specialist \- UPI Products at Razorpay, Dec 2024 \- Present · 1 yr 7 mos, Bengaluru, Karnataka, India, Building AI\-driven analytics systems to automate root\-cause analysis and decision\-making across UPI payments infrastructure\. • Built and shipped an LLM\-powered analytics copilot using MCP to orchestrate Claude across Trino, Tableau, and Slack — enabling conversational root\-cause analysis via natural language • Replaced manual SQL\-heavy investigations with an AI\-assisted decision system handling 3–5 weekly RCA workflows, saving 20\+ analyst hours/month and reducing time\-to\-diagnosis • Designed end\-to\-end system: problem framing → data access \(Trino\) → LLM reasoning → output delivery \(Slack/Tableau\), effectively turning reactive analytics into an automated workflow • Identified patterns in transaction failures, downtimes, and merchant issues — laying groundwork for predictive systems \(failure detection, anomaly monitoring\) • Partnered with product and engineering teams to translate data insights into system\-level improvements in success rates, reliability, and recurring payments

Data Analytics \- Product Science at Rapido, Feb 2024 \- Dec 2024 · 11 mos, Bengaluru, Karnataka, India, • Developed a Sticky Location System using agglomerative clustering, improving High Accuracy Pickups \(HAPs\) by 10% \(75% to 85%\)\. • Designed and conducted A/B tests on service ordering strategies, driving a 5% boost in Fare Estimate to Request Ride \(FE\-RR\) and a 2% increase in Fare Estimate to Net Ride \(FE\-NET\)\. • Analyzed customer segments, revealing a strong preference for Auto\-share services among individuals in PG or non\-residential areas, influencing targeted strategies\.

Senior Associate at Ola Electric, May 2023 \- Feb 2024 · 10 mos, Bengaluru, Karnataka, India, •Conducted data analysis to delve into low\-priority event usage, enabling precise customer segmentation\. •Achieved a notable 15 percent improvement in addressing customer complaints concerning battery energy depletion issues\. •Utilized machine learning techniques to craft highly accurate battery replacement forecasts covering up to five years\. •Leveraged battery State of Health \(SoH\), charging behavior, and mileage data to achieve an impressive 87 percent predictive accuracy during the initial year's assessment\.

Associate Software Engineer at Mobileum, Dec 2021 \- Apr 2023 · 1 yr 5 mos, Bangalore Urban, Karnataka, India, •Caused an 80% reduction in execution of regression test cases by creating an automation framework using Python and Selenium to simulate E2E protocol flows on UI and Linux\. •Worked on Functional testing of Software Signaling Firewall employed by major telecom players all over the globe\. Got accustomed to various telecommunication process and protocols along with the tools being used to test them\(eg: Seagull, Wireshark, SIPp, WireEdit\)\.

Data Science Intern at DXFactor, Sep 2021 \- Nov 2021 · 3 mos, Ahmedabad, Gujarat, India

## Education

Bachelor of Engineering \- BE, Computer Engineering, Gujarat Technological University \(GTU\)

[View the original profile](https://tal.club/meet/anand-7)

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