Arpit Tak

Data and Products

• 8yrs of experience in E-Commerce, B2C, B2B , Ad Tech, Telco industry in Start-ups and MNCs.
• Worked on multiple start-ups and built the Tech pipeline from scratch in all 3 major cloud platforms: AWS/Azure/Google.
• Leading innovation in building highly scalable digital platforms connecting customers & brands.
• Experience in managing Engineering, Product & Marketing Team
• Speaker at Walmart, Yahoo, Apigee, Linkedin, Sigmoid , Ola and other start-ups.
Specialties: Critical thinking, Problem solving, Bias for action (calculated risk taking in absence of complete information).



  • Batch 2020-2022 (Pursuing)

    Indian Institute of Management - Ahmedabad


  • Batch 2020


    Product Management

    Electives Taken:
        • User and Market Research
        • Product Planning & Analytics
        • Building an MVP
        • User Engagement, Growth and Monestsation
        • Agile Methodologies
        • Sketch, Wireframe and Prototypes
        • Product Launch & Marketing
  • Batch 2013

    Govt. Center for Converging Technologies

    Bachelor & Master in Computer Science

Work Experience

  • May 2021 – Present


    Senior Product Manager

    • Online & Offline User Acquisition for Airtel across PAN India leveraging Data Science.
    • Cross Sell - Online conversion via Channels: Push, offer cards, SMS, social media resulted in conversion of INR 100Cr+ in just 6 months across the products.
    • Trained Airtel Stores employees to pitch customers on personalized products for offline marketing.
    • Collaborated with Product & ML teams to deliver KPIs for converting users from prepaid to postpaid with high relevance and intent, resulting in 78% conversion accuracy.
  • 15 Sept 2016 – Present

    Quotient Technology ( - bangalore

    Product Owner

    • Increased User Engagement by ~40k/week for Digital Coupons.
    • Automated California Privacy Law for 25m+ users in the USA.
    • Increased User registration by ~5K/week for different campaigns.
    • Designed and Executed the automated API deployment to identify these users via Point of Sale.
    • Worked with Media, Sales, Reporting Team to create KPI Metrics.
    • Lead migration from the traditional warehouse to Spark and Azure Cloud: Snowflake
  • Jan 2016 – Aug 2016

    Focus Analytics - mumbai

    Spark Developer

    • Only Contributor and Developer of the project on Analytics platform with 100% ownership.
    • Developed pipeline to monitor and track user footfalls in shopping malls and send them notifications (discount coupon/offers of nearby store) on their mobile app with 85% accuracy based on based on exact current location. • Create reports for analyzing user footfall in malls (footfall in particular mall/city/Store).
    • Developed and Implemented complete architecture from scratch which analyze user activities: how many times he visits shopping mall in a month, which store he buys products, how much time he spends in food courts etc.
  • 1 April 2015– 30 Nov 2015

    Vizury - bangalore

    BigData Developer

    • This project aims to re-target users who drop off from websites(ecommerce,hotels,flights,app) across other websites (publisher) on the internet.
    • Worked with Operations and Ad Serving Team to identify important KPI metrics (Impression - Click - Sales) requirements and implemented it maintaining product vision and revision updates. Build the re- targeting model (retain back dropped off customers) by showing them Media Ads on any publisher.
    • Increased the NEW USER Sales ratio by 3 to 25%in the first 3months of its launch.
  • July 2013 - Sept 2014

    Sigmoid Analytics - bangalore

    Software Developer

    • Worked on various Big Data open source framework (Map Reduce tools: Hive, Impala, Shark)
    • Design Business-News App for Android/iPhone users to read news based on his/her selected feeds and categories. • Developed a full-fledged crawler in python using Feed parser. This crawls data from various news sources and inserts into elastic search in real time.
    • Developed a Recommendation Engine using Apache Stanbol (90% accuracy) which resolves entities from news. Those entities were used for showing similar type of news in app which had a maximum score (i.e. redirecting same news to different news portal)
  • Aug- Nov 12

    Newgen Software Technologies - New Delhi

    Software Engineering,Intern

    • Designed and created Credit Amendments and Loan Approval Process.
    • Data insertion and routing is done in SQL and integration is done with API based on JAVA .

Tech Skills

  • Apache Spark
  • Shark
  • Hadoop
  • Java
  • SparkSql
  • Apache Hive
  • Apache Pig
  • HBase
  • Python
  • ElasticSearch
  • Scala
  • Azkaban
  • Information Retrieval

ProdMan Skills

  • User Research : Surveys, User Interviews, Contextual Inquiry
  • Personas and User Journey Mapping
  • Market Research
  • Competitive Analysis
  • Agile Methodologies
  • SQL
  • Usability Testing
  • Wireframing
  • Product Analytics

Technical Talks

  • Yahoo

    Given talk on Scheduling Hadoop and Bigdata Jobs , Detecting and Resolving Hadoop Job Failures and internals of Azkaban.

  • Apigee

    In-memory cluster computing on 1TB wikipedia data and showing its performance with response less then 20-30 secs.

  • Linkedin

    Spark 2.0 ; The Tungsten Engine and Catalyst

  • Sigmoid

    Oozie ; Scheduling BigData Jobs

  • Walmart Labs

    Queries with bounded errors and bounded response time using BlinkDB on 500 million records taken from Berkeley Amplab data.

Get In Touch

I'd love to hear from you. If you think I would be a good fit for your upcoming project, or would just like to just say hello, shoot me at