---
title: "Rishabh Katoch - Senior Analyst in Bengaluru | Tal"
description: "Meet Rishabh Katoch, Senior Analyst @ Angel One | Data Science, LLM-Powered Decision Systems, Automated RCA, Lending Intelligence | Python · Databricks · Airflow · Anthropic Claude | ex-Bajaj, Rapido, Merkle based in Bengaluru. AI stack includes antigravity, claude code, and geminicli."
image: "https://tal.club/meet/rishabh-katoch/share-image"
---

# Rishabh Katoch on Tal

## Headline

Senior Analyst @ Angel One \| Data Science, LLM\-Powered Decision Systems, Automated RCA, Lending Intelligence \| Python · Databricks · Airflow · Anthropic Claude \| ex\-Bajaj, Rapido, Merkle

## About

I build data\-science and LLM systems that replace analyst hours with automated decisions — shipped to CXO leadership at Angel One every morning\. Today I own data science for the NBU lending vertical: Rs 200 Cr/month in disbursements \(4\.4x YoY\), 3L\+ monthly applications, 6 lenders, 50L\+ users\. The systems I built run the funnel: • Daily Automated RCA Pipeline — Python \+ Databricks \+ Anthropic Claude\. Monitors the full Lead\-to\-Disbursement funnel end\-to\-end, generates a narrative memo, posts to leadership Slack at 8 AM\. Replaces \~10 analyst\-hours/day\. • Weekly Loans Health Memo — LLM\-synthesized CXO brief covering disbursement trends, funnel anomalies, and lender performance\. Sent every Monday\. Decisions get made off it\. • Multi\-horizon Benchmark Comparator — WoW / MoM / 3\-month avg with Z\-score anomaly detection across 3L\+ apps/month\. Surfaces statistically significant drops without an analyst in the loop\. • 10 L3 analytics tables in Databricks Unity Catalog, Airflow\-orchestrated — adopted by Product, Growth, Business, and Offers as the source of truth for funnel monitoring\. Stack I ship in: Python \(Pandas, NumPy, scikit\-learn, XGBoost\), SQL \(Advanced\), PySpark, Databricks, Airflow, Anthropic Claude API, MLflow, Tableau, Power BI\. 5\+ years across fintech \(Angel One, Bajaj Finserv Health\), mobility \(Rapido\), and digital \(Merkle Sokrati\) — moving up the stack from BI dashboards → product analytics → data\-science engineering\. Currently in IIIT Bangalore's PGP in Data Science \(NLP\)\. I'm interested in roles building production ML/LLM systems in fintech, lending, or decision\-automation\. If you're hiring, or want to compare notes on RCA pipelines, LLM\-based reporting, or lending funnels — DM is open\.

## Location

Bengaluru

## AI stack

antigravity

claude code

geminicli

## Work experience

Senior Analyst at Angel One, May 2024 \- Present · 2 yrs 5 mos, Bengaluru, Karnataka, India, Owning analytics for the NBU lending vertical — Rs 200 Cr/month in disbursements \(4\.4x YoY from Rs 45 Cr\), 3L\+ monthly loan applications, 6 lenders, 50L\+ users\. • Designed and shipped a daily automated RCA pipeline \(Python \+ Databricks \+ Anthropic Claude API\) monitoring the full Lead\-to\-Disbursement funnel — disbursement benchmarking, rejection RCA, clickstream UX drop detection, and an LLM\-generated narrative memo delivered to leadership Slack every morning\. • Ship a Weekly Loans Health Memo to CXO leadership every Monday — LLM\-synthesized disbursement trends, funnel anomalies, and lender performance in a single narrative\. • Built a multi\-horizon benchmark comparator \(WoW, MoM, 3\-month avg\) with Z\-score anomaly detection across 3L\+ monthly applications — surfaces statistically significant deviations without manual analyst effort\. • Architected 10 L3 analytics tables in Databricks Unity Catalog via Airflow, stitching user identity across devices, sessions, and platforms — adopted by Product, Growth, Business, and Offers teams\. • Defined the full L2D metric catalog — 12 standardized dashboards, calling\-performance metrics, and cross\-team data contracts — eliminating definitional disputes across 4 teams\. • Translated funnel diagnostics into stakeholder narratives that contributed to disbursement growth from Rs 45 Cr → Rs 200 Cr/month\.

Product Analyst at Bajaj Finserv Health, Jun 2023 \- May 2024 · 1 yr, Pune District, Maharashtra, India, Introduced RFM\-based customer segmentation, increasing engagement by 15% and lifting cashless transactions by 1\.3% MoM Surpassed campaign goals by 20% through seasonality\-adjusted A/B testing strategies Improved retargeting performance by 7\.2% with precision targeting and demographic insights

Data Analyst at Rapido, Mar 2022 \- May 2023 · 1 yr 3 mos, Bengaluru, Karnataka, India, Created an automated cancellation reporting system, reducing issue detection from 25 hours to 5 minutes Led churn analysis initiatives using SQL and Python, influencing CX and retention strategies Collaborated with product, ops, and growth teams to integrate insights into customer journeys

Senior Data Analyst at Merkle Sokrati, Aug 2021 \- Feb 2022 · 7 mos, Pune Division, Maharashtra, India, Re\-architected BI systems for real\-time analytics, cutting data processing time by 30% Launched Power BI dashboards driving a 68% increase in loyalty sign\-ups and 35% growth in transactions Automated CRM reports, saving 60\+ manual hours/month

Business Analyst at Merkle Sokrati, Mar 2020 \- Aug 2021 · 1 yr 6 mos, Pune, Maharashtra, India, • Spearheaded the creation of a Power BI dashboard, contributing to a significant 68% increase in user acquisition for a newly launched loyalty program\. • Collaborated cross\-functionally to achieve a notable 35% rise in user transaction rates and a 28% increase in engagement for the loyalty program\. • Automated report drafting processes, effectively reducing manual effort within the CRM team by an impressive 60 hours per month\.

Learner at AnalytixLabs, Jun 2019 \- Feb 2020 · 9 mos, Gurugram, Haryana, India

## Education

Bachelor of Engineering \- BE, Mechanical Engineering, Army Institute of Technology, Pune

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

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