Saurabh Kumar

Saurabh Kumar Email and Phone Number

Staff and Senior Staff Machine Learning Engineer @ Apple
New York, NY, US
Saurabh Kumar's Location
Jersey City, New Jersey, United States, United States
Saurabh Kumar's Contact Details

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About Saurabh Kumar

I am currently a Lead Data Scientist working at Apple I have been working on the intersection of ML and Experimentation, using them to improve efficiency in the Ads marketplace. I have 8+ years of experience improving efficiency, productivity and growth at companies like Lyft, Capital One, American Express and HSBC.I have been fortunate to work in some great companies like NASA, Capital One,Pfizer and American Express that have been at the forefront of advances in data science in fields as varied as climate , healthcare and retail finance. My education at Columbia University and IIT Kanpur ( one of the top Engineering institutes in India with a 1% acceptance rate) have equipped me with technical background in subjects like Machine Learning, Data Structures, Algorithms , Economics and the latest in Big Data Ecosystems. At the same time, i have complemented it with soft skills , business intuition , consulting skills(Data Science Consultant role at EXL) through my professional experience and courses at Columbia Business School.

Saurabh Kumar's Current Company Details
Apple

Apple

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Staff and Senior Staff Machine Learning Engineer
New York, NY, US
Website:
apple.com
Employees:
163018
Saurabh Kumar Work Experience Details
  • Apple
    Staff And Senior Staff Machine Learning Engineer
    Apple
    New York, Ny, Us
  • Apple
    Lead Data Scientist
    Apple Nov 2022 - Present
    Cupertino, California, Us
    ML Platform at Apple Ads
  • Lyft
    Data Science, Tbs Payments
    Lyft Jan 2021 - Nov 2022
    San Francisco, Ca, Us
    I lead multiple data science work streams at Lyft:- Reducing fraud losses by deploying ML models for identifying risky customers- Improving membership retention rates through A/B testing and experimentation- Improving payment health for Lyft Bikes and Scooters- Building theft and loss fraud models for Bikes and scooters- Improving customer experience of Lyft bikes and scooter riders by improving reliability of ridesMost of my day to day is spent on running A/B tests, building ML models and doing statistical analysis to improve outcomes of aforementioned workstreams
  • Capital One
    Data Science Manager
    Capital One Jan 2019 - Jan 2021
    Mclean, Va, Us
    Working on providing financial inclusion to immigrants, students and other underserved communities with the power of alternative data sources.
  • Capital One
    Principal Associate, Data Science
    Capital One Feb 2017 - Feb 2019
    Mclean, Va, Us
    Developed 3 production level identity matching models for 114 million customers of Capital One for smooth sign in and sign up process by using state of the art technology stack (H2O, pyspark, aww).
  • Nasa - National Aeronautics And Space Administration
    Research Assistant
    Nasa - National Aeronautics And Space Administration Sep 2016 - Dec 2016
    Washington, Dc, Us
    Use Machine learning techniques for analyzing the climatic drivers of global forest fires and come up with early warning mechanisms.
  • Pfizer
    Data Science Consultant Intern
    Pfizer May 2016 - Sep 2016
    New York, New York, Us
     Developed optimization tool in R for budgeting marketing spend for various Pfizer brands Identifying Health care providers that have a potential to grow their branded RXing by using Random Forest methods in Python Developed a comprehensive index to assess potential county hospitals, for expanding Pfizer’s business in China using Python
  • Exl Services Ltd
    Senior Consultant
    Exl Services Ltd Sep 2014 - Aug 2015
    Advised a major UK bank in their Asset Management for Secured Motor Loan Product (annual bookings GBP 800 M+). Led a team of three analysts to develop pricing models for auto-finance loans leading to GBP 4M+ incremental sales Forecasted defaults in certain recession scenarios for auto-finance portfolio with over GBP 800M+ annual bookingsWhite Paper :• Wrote a white paper analyzing the product development capabilities of leading Competitors of EXL and suggested areas in which EXL could successfully launch new analytical productsTraining:• Conceptualized and conducted a training on basic statistics for EXL new joinees
  • American Express
    Business Analyst
    American Express Sep 2013 - Sep 2014
    New York, Ny, Us
    Program Manager for Credit Card Collections in US• Performed a Cost Benefit analysis for a temporary Collections Hardship program in the US Market and recommended increasing the enrollments by 2x..• Awarded ‘Blue Rewards’ by American Express for my efforts in improving the identification process for deceased customers in the Collections program
  • Hsbc
    Analyst
    Hsbc Jun 2012 - Sep 2013
    London, Gb
    Collections and Capacity Planning Analyst :• Developed a new linear optimization model for calculating number of agents in call center by mathematical formulating the Cost-Revenue and the constraints to this problems• Improved the segmentation of delinquent credit card customers by adding more relevant variables in the decision tree increasing the information gain by 1 perecent
  • Deloitte Consulting
    Summer Internship
    Deloitte Consulting May 2011 - Jul 2011
    Worldwide, Oo
    • Conceptualized and developed a tool in Microsoft Excel(VBA) for managing human resources. Currently being used by the company for employee scheduling and deciding if recruitment is necessary• Developed an Oracle object Repository which contains information of all past projects undertaken by the company
  • Laboratoire De Recherche En Informatique (Lri)
    Summer Intern
    Laboratoire De Recherche En Informatique (Lri) May 2010 - Jul 2010
    Orsay, Fr
    • Developed a simulator for a sensor Network in Java where individual sensors follow Markov Decision Processes.• Used the simulator for testing approximate methods to predict steady state configurations for Sensor networks.• Simulator is currently being used by the university to undertake research in game theory and physics

Saurabh Kumar Education Details

  • Columbia University
    Columbia University
    Operations Research
  • Udacity
    Udacity
    Computer Science
  • Cfa Institute
    Cfa Institute
    General
  • Indian Institute Of Technology, Kanpur
    Indian Institute Of Technology, Kanpur
    Mathematics And Computer Science

Frequently Asked Questions about Saurabh Kumar

What company does Saurabh Kumar work for?

Saurabh Kumar works for Apple

What is Saurabh Kumar's role at the current company?

Saurabh Kumar's current role is Staff and Senior Staff Machine Learning Engineer.

What is Saurabh Kumar's email address?

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What is Saurabh Kumar's direct phone number?

Saurabh Kumar's direct phone number is +141526*****

What schools did Saurabh Kumar attend?

Saurabh Kumar attended Columbia University, Udacity, Cfa Institute, Indian Institute Of Technology, Kanpur.

Who are Saurabh Kumar's colleagues?

Saurabh Kumar's colleagues are Matthew Sierra, Tim Chan, Timothy Maus, Imaan Magou, Anil Lakhani, Ermias Asrat, Jay Mukherjee.

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