---
title: "Sarthak Arora - Senior Data Scientist in India | Tal"
description: "Meet Sarthak Arora, Product/Data at Inhouse | Ex-Jupiter | Ex-Paisabazaar | Statistics Major @ KMC based in India. AI stack includes codex, cursor, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/sarthak-arora-1/share-image"
---

# Sarthak Arora on Tal

## Headline

Product/Data at Inhouse \| Ex\-Jupiter \| Ex\-Paisabazaar \| Statistics Major @ KMC

## About

I am passionate about problem\-solving and have a deep affinity for working with data\. What truly fascinates me is how data can unveil truths that might otherwise remain hidden\. With \~5 years of experience, I've had the privilege of tackling a wide range of challenges across diverse domains such as legal\-tech, e\-commerce, digital media, fintech, and ed\-tech\.

## Location

India

## AI stack

codex

cursor

claudecode

## Work experience

Senior Data Scientist at Inhouse, May 2025 \- Present · 1 yr 4 mos, Remote

Data Scientist at Jupiter, Apr 2023 \- May 2025 · 2 yrs 2 mos, San Francisco Bay Area, I leverage data to support Jupiter in making informed decisions\. My responsibilities encompass a wide range of data\-driven activities, including: \- Optimizing social media campaigns using advanced models to enhance engagement and reach\. \- Crafting persuasive business proposals backed by data\-driven insights\. \- Running a Data Science internship program, aimed at giving hands\-on exposure to young professionals\. \- Developed front\-facing dashboards to visualize key performance metrics for an audience of 180\+ food influencers and 40\+ brands using Bigquery and Looker Studio pipelines\. \- Designing and implementing data pipelines to streamline data collection and processing\. \- Conducting A/B tests to assess the effectiveness of various strategies and initiatives\. \- Implementing anomaly detection mechanisms to identify and address irregularities promptly\. \- Automating processes to improve efficiency across teams\. \- Providing critical data visibility and insights to drive informed decision\-making within the organization\. Through these efforts, I've contributed to Jupiter's data\-driven culture and its ability to make strategic choices backed by empirical evidence\.

Business Analyst at Jupiter, Mar 2022 \- Apr 2023 · 1 yr 2 mos, During my tenure as a Business Analyst at Jupiter, I played a pivotal role in the company's transformative phase, witnessing the shift from a high CAC grocery auto\-pilot to a zero CAC product revolving around food influencers\. My responsibilities were diverse, spanning from enhancing visibility across teams to implementing innovative solutions that facilitated seamless operations and decision\-making: \- Developed dashboards covering business metrics \(revenue, margins\) and product funnel metrics\. Enhanced visibility and facilitated data\-driven decision\-making across teams\. \- Used Python to create data pipelines processing Airtable data for export to BigQuery\. Enabled real\-time, accurate data availability for querying and dashboard preparation\. \- Tracked and tested machine learning models for recommendations and cart auto\-pilot\. Ensured continuous optimization for alignment with business goals and superior user experience\. \- Implemented Airtable for CRM, catering to Food Brands and Creators\. Automated workflows \(emailing, support, portals\) to boost operational efficiency\.

Assistant Manager\-Analytics at Paisabazaar, Jan 2021 \- Feb 2022 · 1 yr 2 mos, Gurugram, Haryana, India, Major Projects: \- Enhanced Pre\-Approved Personal Loan Program: Spearheaded a critical initiative resulting in a remarkable 60% revenue increase for the Pre\-Approved Personal Loan program\. This achievement was realized through the strategic implementation of a policy that expanded its customer base by an impressive 80%\. \- Lead Segmentation Models: Developed and implemented cutting\-edge Lead Segmentation models for both Personal Loans and Home Loans\. These models revolutionized Lead Prioritization and enabled accurate revenue predictions for every lead, contributing significantly to optimized marketing efforts\. \- Data Analytics and Scoring: Played a pivotal role in the realm of Exploratory Data Analytics, Scoring, and the implementation of a Chance of Approval Model\. This model accurately estimates an individual's likelihood of securing a Personal Loan\. Additionally, I led the development of a Lead Segmentation Model tailored for Business Loans, streamlining the lead prioritization process and enhancing operational efficiency\. Positions of Responsibility: \- Risk Policy Implementation for Pre\-Approved Personal Loan Programs: Led the implementation of policies for eight Pre\-Approved Personal Loan Programs, utilizing Credit Bureau Data \(CIBIL\) to identify eligible customers\. This role entailed comprehensive data extraction, transformation, and processing to create a qualified customer pool, which significantly boosted program effectiveness\. \- Lead Funnel Development and Ad\-hoc Analyses: Pioneered the creation of sophisticated Lead Funnels and conducted thorough Offer Analyses\. Additionally, I provided valuable insights through ad\-hoc analyses, enabling the tracking and optimization of marketing efforts and customer acquisition strategies\.

Data Science Intern at Analytics Vidhya, Aug 2020 \- Jan 2021 · 6 mos, Remote, My stint as a Data Science Intern at Analytics Vidhya was a pivotal chapter, exposing me to a spectrum of projects encompassing user traffic prediction, course sales forecasting, and impactful machine learning endeavors: \* User Traffic Prediction: Assisted the Tech Team in optimizing server allocation based on insightful traffic forecasts\. \* Course Sales Prediction: Contributed to strategic decision\-making for course offerings and resource allocation\. \* Blogging platform: Authored engaging blogs for Analytics Vidhya's platform, sharing insights and experiences\. \* Hackathon Platform: Spearheaded multiple ML projects to support the creation of Analytics Vidhya Hackathon competitions, offering valuable benchmarks\. Developed and implemented models for diverse challenges, including Stroke Prediction and Taxi\-Trip Duration, contributing to the richness and variety of the platform's offerings\.

## Education

BSc \(Hons\), Statistics, Kirori Mal College, University of Delhi

Science, St\. Mary's Academy, Meerut Cantt\.

## Public links

- github: https://github\.com/iasarthak

[View the original profile](https://tal.club/meet/sarthak-arora-1)

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