---
title: "Manvi Jha - Data Scientist II — SMB Analytics in Bengaluru | Tal"
description: "Meet Manvi Jha, Data Scientist @ PayPal | Machine Learning • Causal Inference • A/B Testing | GenAI & LLM (Claude / MCP) Analytics Automation | Python · SQL · BigQuery for Payments, Retail & Healthcare | Ex-Uber, ZS based in Bengaluru. AI stack includes claude, meta, and notion. Explore public work..."
image: "https://tal.club/meet/manvi-jha/share-image"
---

# Manvi Jha on Tal

## Headline

Data Scientist @ PayPal \| Machine Learning • Causal Inference • A/B Testing \| GenAI & LLM \(Claude / MCP\) Analytics Automation \| Python · SQL · BigQuery for Payments, Retail & Healthcare \| Ex\-Uber, ZS

## About

I'm a Data Scientist with 6\+ years across the USA and India, turning machine learning, causal inference, and generative AI into decisions that move revenue and product strategy\. At PayPal, I lead experimentation and merchant\-migration analytics for the SMB portfolio — designing quasi\-experimental matched\-control studies \(12K\+ merchants, statistically significant TPV lift at p=0\.02\), running year\-over\-year cohort and conversion analyses across 746K\+ merchants, and re\-architecting billion\-row BigQuery pipelines to run 5–10x faster\. What I'm most excited about right now is applying generative AI to analytics\. I built a Claude \(LLM\) pipeline on the Model Context Protocol \(MCP\) that automates anomaly detection and insight generation across 10 KPIs, 4 channels, and 15\+ partners — cutting a 3\-day reporting cycle to about 5 minutes \(\~99%\) and turning static reports into self\-serve, on\-demand insights for 8\+ executives\. Earlier, I built ML customer\-segmentation models at Uber \(K\-Means/RFM, \+20% AOV\), time\-series demand forecasts for 30,000\+ retail chains, and large\-scale PySpark analytics on 2M\+ healthcare records at ZS Associates\. Toolbox: Python \(Pandas, NumPy, Scikit\-learn\) · SQL / BigQuery · PySpark · Causal Inference & A/B Testing · Time\-Series Forecasting · Claude, MCP & Prompt Engineering · Power BI · Tableau · AWS / GCP I'm open to Data Scientist and Senior Data Scientist roles where experimentation and AI drive the product\. Let's connect — manvijha2297@gmail\.com

## Location

Bengaluru

## AI stack

claude

meta

notion

openai

ChatGPT

Microsoft Copilot

## Work experience

Data Scientist II — SMB Analytics at PayPal, Jul 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India, • Built a Claude \(LLM\) analytics pipeline on the Model Context Protocol \(MCP\) automating anomaly detection and insight generation across 10 KPIs, 4 channels, and 15\+ partners — cut reporting cycle \~99% \(3 days → \~5 min\) and moved it from biweekly to on\-demand for 8\+ executives\. • Designed a quasi\-experimental matched\-control study across 12K\+ merchants; proved statistically significant TPV uplift \(p=0\.02\) and exposed self\-selection bias that reshaped pricing\-promo strategy\. • Ran YoY cohort/conversion analysis \(5 segments, 746K\+ merchants, US/global\) — found the best migration path \(\+5\.1%\) and a high\-risk regression \(\-3\.4%\) flagged for urgent fix\. • Built the OXXO alternative\-payment dashboard from scratch, surfacing \~35% unsettled transactions \($1M\+/yr\) and weak integrations \(VTEX 43%, Magento 35% vs Direct 67%\)\. • Re\-architected the core PPCP BigQuery pipeline \(8 tables, billions of rows\), cutting runtime from 4–5 hrs to 30 60 min\. • Payroll is Accelon

Business Intelligence Lead at Logic Intelligence, Nov 2023 \- Dec 2024 · 1 yr 2 mos, Hillsboro, Oregon, United States, • Built time\-series forecasting models \+ automated pipelines for 30,000\+ retail chains, contributing to a 5% revenue uplift\. • Applied regression and feature\-importance analysis to optimize marketing spend and ROI\. • Delivered Power BI dashboards \(DAX, row\-level security\), eliminating 20\+ hrs/week of manual reporting; cut data mismatches 70% and led SQL upskilling for 7 analysts\.

Senior Product Analyst at Uber, Sep 2022 \- Dec 2022 · 4 mos, Hyderabad, Telangana, India, • Built K\-Means and RFM segmentation models on 500K\+ users \(Scikit\-learn\), driving \+20% Average Order Value\. • Designed A/B tests \(t\-tests, confidence intervals\) that drove 15\+ merchant adoptions in week one; analyzed clickstream funnels to lift conversion 20%\.

Data Analyst at ZS, Jan 2019 \- Mar 2022 · 3 yrs 3 mos, Pune Division, Maharashtra, India, • Developed a Payer–Provider Analog Library in PySpark over 2M\+ prescription records to detect prescribing shifts from formulary changes\. • Built SQL sales\-crediting models tracking 4,500\+ reps at a billion\-dollar US pharma firm; created COVID\-19 impact Tableau dashboards\.

Summer Intern at National Informatics Centre \(MEITY\), May 2018 \- Jun 2018 · 2 mos, Greater Delhi Area, \- Implemented JDBC\-based Student Application form using Swing GUI \- Designed a sample information portal using HTML

## Education

Bachelor’s Degree, Information Technology, Kalinga Institute of Industrial Technology, Bhubaneswar

## Public links

- github: https://github\.com/jha\-manvi

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

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