Headline

Building Technology & Advertisement at Scale | Ex- Airtel | AngelOne | Uber | Swiggy | Amazon | MuSigma

About

I am an analytics professional with 12+ years of experience in AdTech-MarTech, big data analytics, customer experience analytics, operations analytics, digital marketing analytics and web analytics across food, e-commerce, retail, cloud computing, stock markets, grocery and telecommunication industries. My expertise is driving analytics based decision making and action-ability for business. I also have 8-9 years of Product Management experience along with analytics in delivery Analytics as a Service (Customer Segmentation, Customer Engagement, Customer Interactions with Personalisation Engine, Persuasion Engine, AB Experiment Engine) and Data as a Product (Customer Data Platform, Customer Interaction Store, Customer Order Purchase Store and Customer Attributes Store) in Marketing products (Ad-Tech) while working with my past companies.

Location

Gurugram

AI stack

anthropic apis

claude code

claude

codex

elevenlabs

gemini

Work experience

Founder - Director | AdTech Architect | Backend Engineer | Data Engineer | Data Analytics | Product at Datplay Technologies Private Limited, Mar 2023 - Present · 3 yrs 7 mos, Gurugram, Haryana, India, As a Founder played the role of CPO, CDO, Backend Engineer / Architect in AdTech space, I lead the data strategy, product innovation, and advertising technology verticals at the company – a tech-driven platform connecting offline and online advertisement at scale with QR-powered advertisements. I also spearheaded operations for the company, our bottled water + vending machine brand, alongside our gamified offer and ads-discovery app. Key Responsibilities 1. AdTech & Data Platforms: Architected and implemented our proprietary QR-label AdTech stack, enabling hyperlocal, measurable, and gamified campaigns through offline touch points (vending machines, bottles, soundboxes, QR-code enabled ads). 2. Data Infrastructure: Built scalable data pipelines using Kafka, ClickHouse, MySQL, Redis, and Node.js micro-services to process millions of events from QR scans, redemptions, and transaction signals. 3. AI + Personalisation: Leading the roadmap for AI-powered targeting, real-time personalisation, and audience analytics across the advertisement platform and different ad surfaces of vending carts - vending machines at DMRC Metro Stations. 4. Product + Infra Ownership: Own all major backend and frontend stacks across apps and dashboards (React, Flutter, Docker, AWS EC2, VPC, Load Balancers, Route53, Prometheus, SigNoz, etc.). Notable Achievements 1. 10,00,000+ QR touch points activated across Delhi NCR through bottles, vending machines, and print material – enabling trackable consumer engagement for advertisers. 2. Smart Vending Network rolled out across metro stations and malls / offices with IoT-connected machines and PIN-based bottle dispensing. 3. Achieved 0 to ₹30M revenue trajectory with strategic focus on tech-first distribution, unit economics, and vertical integration. Tech Stack & Tools Node.js, React, MySQL, ClickHouse, Redis, Kafka, Docker, Kubernetes, AWS, EC2, VPC, Route53, SigNoz, Prometheus, Flutter, Figma, WhatsApp Cloud API, Easebuzz, OpenTelemetry

Head of Analytics (Principal) at Airtel Digital, Aug 2022 - Jun 2024 · 1 yr 11 mos, Gurugram, Haryana, India, As an Analytics Leader at Airtel’s Digital & New Initiatives division, I led the analytics charter for Airtel Xstream (OTT) and other emerging digital verticals. I was responsible for end-to-end ownership of all metrics, reporting pipelines, and strategic insights across two high-growth platforms catering to millions of users. Key Responsibilities 1. Analytics Leadership: Defined and maintained the North Star KPIs, cohort metrics, retention funnels, content engagement dashboards, and monetisation metrics for Airtel Xstream (Web, Android TV, Mobile App). 2. Cross-functional Collaboration: Worked closely with product, engineering, content, and marketing teams to drive data-backed decisions on UI/UX, content acquisition, personalisation, and pricing models. 3. Self-Serve BI: Built scalable reporting infrastructure using Tableau, BigQuery, Python, and SQL, empowering internal teams to access insights in real time. 4. Experimentation & Optimisation: Designed and analysed A/B tests for UI changes, recommendation engine tweaks, onboarding journeys, and campaign effectiveness. 5. AdTech & Attribution: Played a key role in defining ads views, clickstream, and attribution metrics across partner integrations and native ad placements. Notable Achievements 1. Supported 10x growth in monthly active users for Airtel Xstream with sharp metric tracking and timely product interventions. 2. Reduced analytics turnaround time by 70% by automating dashboards and setting up real-time monitoring for platform health. 3. Defined Airtel’s first unified OTT content engagement taxonomy, enabling consistent benchmarking across genres, devices, and content types. 4. Launched real-time content performance dashboards to inform editorial and recommendation engine priorities. Tools & Technologies BigQuery, SQL, Tableau, Power BI, Python, R, Google Analytics, Firebase, PostgreSQL, MongoDB, Airtel Content Delivery Platform

Head of Analytics at Otipy, Apr 2022 - Aug 2022 · 5 mos, Gurugram, Haryana, India, Led the analytics and data strategy at Otipy, a fast-scaling agri-commerce and hyperlocal delivery platform. Spearheaded the modernisation of the analytics stack while driving actionable insights across operations, delivery logistics, consumer app behaviour, and business KPIs. Key Responsibilities 1. Data Stack Migration: Successfully migrated legacy MySQL analytics workflows to a scalable Trino (PrestoSQL) + Apache NiFi based system for near real-time data access and high concurrency. 2. ETL & Data Governance: Owned and managed complex ETL pipelines with automated scheduling, error handling, and lineage tracking using NiFi and custom scripts. 3. KPI Definition & Monitoring: Defined operational KPIs for supply chain, delivery SLAs, rider efficiency, and customer engagement — used as the single source of truth across teams. 4. Pixelation & App Insights: Implemented event pixelation and app analytics to inform feature rollouts, navigation improvements, and conversion optimisation in the consumer app. 5. Business Intelligence: Built scalable dashboards and reporting structures to democratise access to data for sales, ops, marketing, and tech teams. Impact Highlights 1. Optimised delivery zone clustering and routing using data models, improving on-time delivery by 25% and reducing logistics cost per order. 2. Improved user funnel conversion by 15% post deep-dive analysis of in-app journeys using event-based analytics. 3. Reduced reporting latency from hours to under 5 minutes post migration to Trino + NiFi architecture. 4. Enabled data-driven decisions for product roadmap, operational scaling, and partner onboarding. Tools & Technologies MySQL, Trino (PrestoSQL), Apache NiFi, Python, Tableau, Google Analytics, Firebase, Airflow, SQL, Excel, PostgreSQL

Head of Analytics (Owner - Analytics as a Product) at Angel Broking, Dec 2019 - Mar 2022 · 2 yrs 4 mos, Mumbai, Maharashtra, India, Led the end-to-end development and ownership of Analytics as a Product (AaaP) — Angel One’s internal data platform powering digital transformation across mobile, web, APIs, and investor journeys. Bridged data engineering, instrumentation, and micro-services to build scalable, high-performance systems for one of India’s largest stockbrokers. Key Contributions • Architected cloud-based analytics infra to ingest and process terabytes of clickstream & event data • Instrumented Android, iOS, and Web for funnel analysis, behaviour tracking, and feature adoption • Built Kafka pipelines for real-time, fault-tolerant streaming across micro-services • Developed Qubole based system for structured access to raw logs & ML-ready datasets • Created a real-time journey-based notification engine for personalised push/SMS/in-app alerts • Deployed ACRA for Android crash reporting to improve app reliability • Built an in-house A/B testing framework using server-side remote config • Engineered micro-services for user-level personalisation and dynamic content delivery • Developed ultra-low-latency micro-service to broadcast LTP (Last Traded Price) to millions of users in nanoseconds Impact Highlights • Enabled a data-first culture across product, growth, and marketing • Reduced data-to-decision latency by automating real-time insights • Played a key role in Angel One’s transition from legacy to cloud-native systems Tech Stack Node.js · Kafka · Qubole · MySQL · MongoDB · ACRA · Firebase · Python · PostgreSQL · REST APIs · Git · Remote Config · A/B Testing · Microservices

Lead Business Analyst / Decision Science – AdTech Product Team – Product & Marketing Analytics at Uber, Dec 2018 - Oct 2019 · 11 mos, Worked with Product Managers, Engineers, Marketers and Data Science teams around the world & managed a team of 4 analysts o Helped create Marketing DB (KPI Tables on Daily, Weekly, Monthly basis) and product event attribution tables to marketing touch-points o Helped onboard data from 3rd parties (FB, Google, etc.) for measuring Uber’s $1 Bn/Yr digital performance spends o Helped create dynamic machine learning based attribution model to analyse digital channel performance metrics (MTA, Relevancy Analysis) o Helped analyse impact of re-engagement campaigns on different product events by conducting A/B experiments with global audience o Helped create One Customer Journey based on multiple marketing touchpoints to analyse & optimize marketing campaigns based on #Touch Points, #Relevant impressions & clicks, thus saving $23 Mn spends on Google & Facebook platforms over 4 months’ time period o Helped create product features & marketing strategies to address churn by performing analysis based on customer segmentation modelling (Cluster Analysis based on Activity (SignUp, FirstTrip, LastTrip), Gross Bookings (normalized), #Trips, Geography parameters) o Helped increase adoption of UberLite App by 12.4% in LatAm & USCA region by analysing and creating targeted segment pools of customers facing difficulties during trip booking over 2-months of campaigns o Destination based ads – led the initiative to monetize Uber’s platform to serve destination-based ads to riders taking the trip

Education

Master of Business Administration (MBA), Technology Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology (B.Tech.), Manufacturing Engineering, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Public links

github: https://github.com/harshgupta29