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