Jatin Hans

Senior Data Scientist at Momos
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Contact Information
us****@****om
(386) 825-5501
Location
AE
Languages
  • English -
  • Hindi -
  • Punjabi -
Skills

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Ankesh Khemani

Jatin has a rare combination of extraordinary technical talent and strong work ethic. I had the pleasure of working with him during his internship at Kvantum. I was impressed by his attention to detail, ability to learn new things quick and being humble at the same time. No matter how tough the situation was, he always had a smile on his face. Jatin would be an asset to any team.

Sarthak Chauhan

Jatin is an extremely positive, highly ambitious. He is thorough a detail-oriented professional who is dedicated to her given task. He's passionate about her work & that's really great .He is highly pro-active and makes sure all the tasks are completed within the given time frame. All in all, excellent professional and a great human being ! Best of Luck !!

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Credentials

  • Introduction to Data Science in Python
    Coursera
    Dec, 2017
    - Sep, 2024
  • Machine Learning Foundations: A Case Study Approach
    Coursera
    Jul, 2017
    - Sep, 2024
  • Machine Learning
    Coursera Course Certificates
    Oct, 2016
    - Sep, 2024
  • Certificate for Completion of Linux Training
    Spoken Tutorial Project, IIT Bombay
    Apr, 2016
    - Sep, 2024
  • Developing Mobile Apps for Android Platform
    National Skill Development Corporation
    Feb, 2016
    - Sep, 2024
  • Certificate for Completion of Java Training
    Spoken Tutorial Project, IIT Bombay
    Oct, 2015
    - Sep, 2024
  • Programming in Java
    Oracle Workforce Development Program
    Oct, 2015
    - Sep, 2024

Experience

  • Momos
    • Singapore
    • Food and Beverage Services
    • Senior Data Scientist
      • May 2022 - Present
  • Yum! Brands
    • United States
    • Restaurants
    • 700 & Above Employee
    • Lead Data Science
      • Apr 2021 - May 2022

      - Collaborated with internal stakeholders, to develop an initial version of Price Recommendation Engine based on the analytical requirements and market dynamics. - Provided Market Basket analysis and recommend solutions to address transaction decline using data from internal and external sources via Marketing-Mix models to assess factors impacting growth and profitability across products. - Collaborated with internal stakeholders, to develop an initial version of Price Recommendation Engine based on the analytical requirements and market dynamics. - Provided Market Basket analysis and recommend solutions to address transaction decline using data from internal and external sources via Marketing-Mix models to assess factors impacting growth and profitability across products.

  • Kvantum Inc.
    • United States
    • Investment Management
    • Senior Data Scientist - L2
      • Oct 2020 - Mar 2021

      - Collaborated with the Data Engineering team on creating a complex network of data pipelines on Azure Data Factory to process 1M+ transactions from multiple countries daily.- Helped Franchisees by building Marketing-Mix models to estimate the attribution percentage generated by each media channel and product campaign.

    • Data Scientist
      • Feb 2018 - Oct 2020

      - Helped various clients to create and optimize their marketing strategies by building an Optimization platform that recommends an optimal budget to improve ROI according to given constraints.- Designed an initial solution for Customer Segmentation of various QSR brands and proposed marketing techniques to help drive their active customer count.

    • Data Scientist Intern
      • Aug 2017 - Jan 2018

  • Empreus Labs
    • India
    • Software Development
    • Intern
      • Jun 2016 - Aug 2016

      Android Developer Intern Android Developer Intern

Education

  • Guru Gobind Singh Indraprastha University
    Bachelor of Technology (B.Tech.), Computer Science
    2013 - 2017
  • Indira Gandhi National Open University
    Post Graduate Diploma, Applied Statistics
    2020 - 2021
  • Sarvodaya School - India
    XII, Science and Engineering
    2010 - 2012

Community

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