Headline

Data Product @DeepIntent | ISB | x-Paytm, Times, ZS | BITS Pilani

About

With +6 years of experience, I deliver solutions for Product management and Data Science that enhance customer experience and drive growth. I hold a CSPO certification and a Master of Engineering degree in Computer Science from BITS Pilani I align cross functional stakeholders at DeepIntent to define metrics, build data models, design A/B experiments, and translate insights into roadmap, UX and GTM decisions across Product, Commercial and Growth. In my current Product Manager role I combine hands on product analytics with execution ownership for DSP marketplace, forecasting and media package features, from discovery through alpha, beta and GA. My passion for data driven decision making is strengthened by my ongoing Management Program in Business at ISB. Before DeepIntent I worked in analytics roles at Paytm e-commerce, Times Internet music and ZS Associates, partnering with product and business leaders on growth, monetisation and experimentation. 🎯 Product Management: Roadmapping and prioritisation, PRDs, MVP to phased delivery, alpha beta GA, feature flags LaunchDarkly, Pendo instrumentation, Jira and ClickUp, Confluence, stakeholder communication, GTM enablement 🛠 Tech Stack: SQL BigQuery, Spark SQL, MySQL, Python, dbt modeling and testing, Airflow, Databricks 🧱 Data Modeling and Engineering: Dimensional modeling, source to target mapping, metric marts, dbt tests and documentation, modular reusable jinja macros 🎲 Experimentation: A/B testing design, MDE, A/A testing, probability theory 🔬 Product Research: Funnels, churn, retention, user segmentation, engagement and cohort analysis 📊 BI Tools: Looker LookML, Mixpanel, Tableau, PowerBI, Pendo ⚙️ Data Infrastructure: Data pipeline orchestration, maintaining data quality, version control with Git 🏢 Industries: AdTech and healthcare media, e-commerce, digital media and consulting Comfortable using AI tools (Claude, Cursor, v0, lovable, Figma etc.) as everyday leverage. Data Product Management responsibilities- Data Products, Data Strategy, Data Governance, Data Quality Management, Data Lineage, Metadata Management, Data Privacy, Data Security, Compliance Management, Business Intelligence, Data Analytics, Product Analytics, Stakeholder Management, Adoption Metrics, Usage Analytics, Continuous Improvement, Reporting Automation, Dashboarding, Analytics Strategy, Data Engineering Collaboration, Platform Product Management, Enterprise Data Management, Information Management, Decision Support Systems,

Location

India

AI stack

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cursor

github copilot

langchain

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Work experience

Product Manager at DeepIntent, Mar 2024 - Present · 2 yrs 6 mos, Bengaluru, Karnataka, India, • Owned data product initiatives across forecasting, audience data, campaign planning, APIs, reporting, and decision-support workflows for DeepIntent’s healthcare ad-tech platform. • Shipped the new Forecasting tool powered by the Chronous Machine learning Model. It replaces legacy forecasting estimates with a High accuracy, Low Latency (8-10 secs) and represents a significant advancement in DeepIntent's campaign planning capabilities • Shipped FAST (Free Ad-Supported Streaming Television) a curated package with 90+ always-on deals across premium CTV (Pluto TV, Roku, Samsung TV+, and more) for instant, high-quality reach and built a reusable playbook to accelerate future launches. • Defined PRDs, MVP scope, data requirements, acceptance criteria, success metrics, rollout plans, and release criteria for forecasting, audience data, campaign planning, and decision-support initiatives. • Used BigQuery, MySQL, Athena, Spark, ClickHouse, Looker, Superset, internal APIs, and ML model outputs to validate forecast accuracy, data quality, latency, coverage, and production readiness. • Partnered with engineering and data science teams on forecasting data pipelines, ML model integration, schema logic, API contracts, feature flags, release validation, and production monitoring. • Converted ambiguous stakeholder needs from sales planning, operations, product, and engineering teams into structured specs covering users, decisions, data dependencies, edge cases, validation logic, and measurable outcomes. • Validated SQL outputs, API responses, dashboards, and source-system data to identify discrepancies, investigate root causes, and ensure trusted business-facing forecast and planning metrics. • Managed end-to-end delivery for data-heavy product initiatives from discovery, requirements, technical alignment, UAT, feature-flag rollout, launch support, adoption tracking, monitoring, and iteration. • Defined requirements for audit logs, Slack alerts, access workflows, feature flags

Senior Analyst - Product Manager at DeepIntent, Nov 2023 - Mar 2025 · 1 yr 5 mos, Delhi, India

Lead Product Analyst at Paytm, Sep 2022 - Nov 2023 · 1 yr 3 mos, Noida, Uttar Pradesh, India, Responsibilities:- • Analyzed data for the Travel Product team, overseeing analytics for Bus, Train & Flight with XXX Mn MAU. • Achieved 100% automation of the manual tracking process of Strategic Data via BigQuery, ensuring high availability. • Developed A/B tests for 30+ experiments, focusing on hypothesis testing and conversion improvements in Resume card booking, Price Slasher, text persuasion, and different user flows. • Owned a Cancellation Protect feature with pricing discovery, resulting in 2% increase in Flight revenue. • Defined WhatsApp tracking metrics, aiding the finance team in cost estimation, with a focus on conflict resolution. • Constructed a Diagnostic tool at the Event Actions level for Tech & PMs, facilitating independent Root Cause Analysis. • Presented weekly updates to the Business Head on performance, gaps, experiments, and insights across all 3 travel verticals. • Designed a Hacker Rank Test for the BA role, attracting +1600 Test Takers with a 4.3 rating. Conducted 18+ interviews. • Decreased homepage DAU drop by implementing a popup for 'Estimated date of travel' upon clicking the Back button, streamlining sales day, price drop notification basis this data. Leading a team of 2 members. • Conducted fraud analysis and established thresholds limit for genuine bookings allowed without impacting business. • In-depth knowledge of media, digital advertising and agencies. • Proven leadership experience to influence CEO level

Product Analyst at Times Internet, Jan 2022 - Sep 2022 · 9 mos, Noida, Uttar Pradesh, India, Roles: • Analyzed & obtained insights of more than 150 million MAU using BigQuery & Data Studio • Performed Dip Investigation on Podcast Users & Identified possible causes and stabilized user’s retention by 18.4% • Rectified Rewards Policy for Podcasters- favouring one lingual Artists, growth of 6% monthly multilingual uploads • Recommended PhonePe as Priority Payment Gateway- which led to spike in monthly auto-renewal rate by 20% • Automated Fault detection & email Alert for ingested tables (missing tags, duplicate tracks)- improved Data sanitary • Revamped Sections Logic of podcast and added 2 new weights thus, making sections Personalised (Listen again) • Designed Podcast Search Dashboard-identified & resolved failed & abandoned search keywords frequency by 7% • Using Natural language processing on Customer Reviews to assign department wise tags using python Highlights: • Increased MPU (Minutes Per User) from 8.6 to 11.2 after unearthing ingestion issues in podcast tables • Bi-weekly presentations to the CEO on Podcast & Creator Economy (UGC) performance, gaps & experiments • Using BQML (BigQuery Machine Learning)- trained a ML Logistics Regression model to identify Auto-Skipping Issues on 50 million episodes with 91% accuracy. Identified 218 Shows, fixed & Stabilized the Consumption KPI

Professional development at Career Break, Jun 2019 - Dec 2021 · 2 yrs 7 mos, Old Rajendra Nagar, Delhi, India, UPSC Civil Services - (Mains) 2020 UPSC Civil Services - (Mains) 2021, UPPCS 2021 (Mains) UPSC Civil Services - (Mains) 2022 and IFoS (Mains) 2022

Business Technology Analyst at ZS, 2017 - 2018 · 1 yr, Gurugram, Haryana, India, • Worked in Javelin Pod & developed analytical tools for the Fortune 100 pharmaceutical clients & their sales force • Worked on a U.S. consulting assignment to identify the data management challenges faced by a global medical device company post its merger. • Developed an understanding of the various pharmaceutical data sources. • Following best practices like UAT, maintaining QCs list & self-test automation for successful and timely completion • Assisted in developing detailed documentation including Requirement specification documents, SOPs, status material Proficiency in clickstream analytics tools and tracking like Google Analytics 360, GA4, Adjust, Braze, etc Strong knowledge of advanced analytics techniques and ability to integrate analytics outputs with digital product. Proficiency in programming languages such as SQL, Python, R, or other data analysis tools. Familiarity with data visualization tools (e.g., Tableau, Power BI) to present insights effectively

Education

Executive Management Program, Indian School of Business

Master of Engineering - MEng, Computer Science, Birla Institute of Technology and Science, Pilani

Public links

github: https://github.com/ajeet-yadav