---
title: "karthick P - Data Analyst in Greater Bengaluru Area | Tal"
description: "Meet karthick P, Data Analyst @ Paytm | SQL | Python | Power BI | Advanced Excel | Data Visualization | Data Cleaning | Pandas | Statistical Analysis | Data Modeling | based in Greater Bengaluru Area. AI stack includes hugging face, notion, and openai."
image: "https://tal.club/meet/karthick-4/share-image"
---

# karthick P on Tal

## Headline

Data Analyst @ Paytm \| SQL \| Python \| Power BI \| Advanced Excel \| Data Visualization \| Data Cleaning \| Pandas \| Statistical Analysis \| Data Modeling \|

## About

I don't just analyze data — I turn it into decisions that move businesses forward\. From engineering automated pipelines that eliminated 3–4 day reporting lags, to building ML models that hit 0\.87 ROC\-AUC, I've spent my career making sure every dataset I touch delivers measurable impact — not just pretty charts\. What I've delivered so far: 🔹 Built an end\-to\-end analytics pipeline processing 20,000\+ bot sessions/month for Paytm's fintech lending product — cutting manual reporting effort by 70% 🔹 Identified 8 merchant friction clusters that directly shaped 3 backend sprint priorities and contributed to an estimated 18% improvement in deflection rate 🔹 Engineered 10\+ predictive features from Tesla stock data and delivered an XGBoost model with 0\.87 ROC\-AUC — selected as the production classifier 🔹 Analyzed 145,000\+ records across 50\+ countries to uncover global AI adoption trends — surfacing Agriculture as the \#1 adopting sector and the 55\+ demographic as the fastest\-growing segment

## Location

Greater Bengaluru Area

## AI stack

hugging face

notion

openai

replit

## Work experience

Data Analyst at Paytm, Feb 2026 \- Present · 5 mos, Bengaluru, Karnataka, India, ▸ Engineered an automated monthly analytics pipeline processing 20,000\+ bot sessions across IVR and chat channels, reducing manual reporting effort by \~70% and enabling real\-time product monitoring for the fintech lending vertical\. ▸ Built a multi\-label issue clustering system that categorized merchant conversations into 8 distinct friction clusters \(NOC delays, payment failures, EMI bugs, feature gaps\), tagging each with handover rate and CSAT sentiment — directly informing 3 backend sprint priorities\. ▸ Developed repeat\-merchant detection logic to surface chronic unresolved issues by flagging merchants with 3\+ escalated sessions within the same day, reducing escalation backlog by identifying the top 12% of high\-friction users\. ▸ Delivered structured product recommendations with effort estimates and deflection rate projections to Engineering, Backend, and KB teams; insights consumed by P4B Lending leadership to prioritize a roadmap with an estimated 18% deflection rate improvement\.

Data Analyst at Snapcast Solution, Jan 2025 \- Jun 2025 · 6 mos, Greater Bengaluru Area

## Education

Master of Computer Applications \- MCA, Computer Science, Garden City University

Master of Science, Garden City University

[View the original profile](https://tal.club/meet/karthick-4)

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