Sumeet Kumar

Sumeet Kumar Email and Phone Number

Head of Machine Learning and Data Science @ Auxia
California, United States
Sumeet Kumar's Location
San Francisco Bay Area, United States, United States
Sumeet Kumar's Contact Details

Sumeet Kumar work email

Sumeet Kumar personal email

n/a
About Sumeet Kumar

Sumeet Kumar is a Head of Machine Learning and Data Science at Auxia. Colleagues describe them as "Sumeet was my manager for my internship at Auxia in 2024. He was well organized, really approachable, very effective and extremely helpful throughout my internship. As a manager, he has quite impressive skills in communication and was always ready to guide me in technical tasks and skill building. I learned a lot from him during my internship and have benefited even more in general from him as both a manager and a mentor. He really made my time at the company a joy. I would highly recommend him as a manager.", "Sumeet is a great cross-functional partner who knows how to collaborate with different functions. He is strategic, asks the right questions, and knows that “we’re stronger together”. Sumeet helps move projects forward and is very resourceful in finding ways to unblock other people. I’ve appreciated working with him on a few high impact projects and would trust him to make the right (and tough) decisions for a project/product to maximize its impact.", and "Sumeet is a strong cross-functional collaborator who delivered impact in ambiguous product spaces. He was science lead across multiple cross-team workstreams to enable and optimize real-time messaging and incentive interventions. The products launched provided new levers to engage users and also helped save the business millions in growth spend."

Sumeet Kumar's Current Company Details
Auxia

Auxia

View
Head of Machine Learning and Data Science
California, United States
Website:
auxia.io
Employees:
53
Sumeet Kumar Work Experience Details
  • Auxia
    Head Of Machine Learning And Data Science
    Auxia
    California, United States
  • Auxia
    Machine Learning And Data Science
    Auxia Jan 2023 - Present
    Los Altos, Ca, Us
    Building a generalized Growth Platform for optimizing post acquisition customer engagement, retention and monetization.- ML platform for personalization and optimization of growth campaigns (messaging, incentives etc)- Causal ML, Bandits and Reinforcement Learning based models- ML productionalization, observability and ops- Model evaluation including Off Policy Evaluation- Deep Learning based entity embeddings- NLP, LLM, Prompt Engineering and their application to Marketing content generation and optimization- Experimentation
  • Lyft
    Senior Research Scientist
    Lyft Apr 2020 - Nov 2022
    San Francisco, Ca, Us
    ∙ Tech Lead for realtime incentives and messaging optimization where I was responsible for the vision, strategy and execution of improving Growth spend via interventions triggered at user-app events (like a ride request)∙ Built novel incentive campaigns that delivered $XXM cost savings on customer acquisition and retention spend∙ Developed causal user targeting models as an online service that are leveraged for making real time decisions on incentives targeting; I was responsible for research, prototyping, design and the end to end implementation of the ML service∙ Led a cross-functional team of engineers and marketers that leveraged Bandits for message personalization and delivered statistically significant improvement in the driver engagement experience∙ I was the team evangelist of growth platform tools and frameworks where I help stakeholders understand the nuances of user targeting and personalization algorithms (causal inference, machine learning, bandits, off policy evaluation, reinforcement learning etc.) and identify new use-cases to experiment on∙ I actively mentored scientists and engineers helping them unblock on technical and product problems as well provide guidance on cross-functional alignment and project management
  • Aetna, A Cvs Health Company
    Principal Data Scientist
    Aetna, A Cvs Health Company May 2018 - Apr 2020
    Hartford, Connecticut, Us
    ∙ Tech Lead and founding Data Scientist in a joint venture between Aetna and Apple to build a wearable based health app∙ Managed projects on Machine Learning and Experimentation Frameworks – collaborated with engineers to design and build the backend system, created processes and guided data scientists on model development∙ Led the development of an in-house causal evaluation framework in collaboration with a team of data scientists and engineers∙ Built a Bandit framework for rewards/incentives optimization ∙ Developed a patent pending Deep Learning framework for predicting user health profile by combining wearable with clinical history data
  • Facebook
    Data Scientist
    Facebook Jul 2016 - May 2018
    ∙ Developed a patented algorithm which enabled real-time prediction of price performance of an advertiser compared to other advertisers∙ Led goal setting, measurement and experimentation strategy for several feature launches ∙ Collaborated cross-functionally and brought data driven insights into product strategy and road-map∙ Built several high fidelity data pipelines in collaboration with Data Engineers
  • Dc Investments Management
    Associate
    Dc Investments Management Jan 2014 - Jul 2016
    Mclean, Virginia, Us
    ∙ Developed statistical models and machine learning algorithms to improve investment strategies∙ Back-tested and analyzed systematic investment strategies that use index and volatility options, option structures and swaps ∙ My work led to a 50% improvement in the Sharpe of two existing strategies and introduction of two new live strategies that outperformed in volatile market
  • Massachusetts Institute Of Technology
    Research Assistant
    Massachusetts Institute Of Technology Jun 2009 - Dec 2013
    Cambridge, Ma, Us
    • Researched in the design and implementation of a mobile sensor platform for citywide assessment of the quality of street lighting and inventorying of street lamps (sponsored project from Ferrovial Servicios, Spain).• Developed models for sampling and estimation of spatiotemporal physical signals like temperature, chemical concentration and luminosity when sensors are placed on mobile nodes. Applications include identifying “hot spots” or regions of maximum interest in the underlying phenomena being sensed.• Investigated mixed mobility model for sensor network where some sensors are stationary, some move in a controlled manner while others move randomly. Also, worked on heterogeneous sensor network architecture where sensors of different types and accuracy are used. Designed algorithms for data fusion, inference generation and maximizing information gain over practical constraints in a mobile sensor network.• Developed image processing and machine vision algorithms for analyzing videos collected from cameras placed on mobile agents.
  • Massachusetts Institute Of Technology
    Research Assistant
    Massachusetts Institute Of Technology Sep 2007 - May 2009
    Cambridge, Ma, Us
    • Designed and fabricated a microfluidic platform for carrying out a biochemical reaction called polymerase chain reaction.• Investigated implementation of benchtop biochemistry in a microfluidic environment.• Developed a 3-dimensional, computationally efficient thermal fluidic model to capture the conjugated heat transport mechanisms in the microfluidic platform.
  • Merck Sharp And Dohme
    Summer Intern
    Merck Sharp And Dohme Jun 2011 - Aug 2011
    Rahway, New Jersey, Us
    • Employed data mining techniques for variable/feature selection and classification to support drug discovery research in the Modeling and Simulation department at Merck Research Laboratories.• Applied several feature selection algorithms like principal component analysis, partial least squares, Fisher score and information gain to first select a subset of important features and then used classification algorithms like random forest to study differentiation across groups.

Sumeet Kumar Education Details

  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Systems And Statistics
  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Heat Transfer
  • Indian Institute Of Technology, Kanpur
    Indian Institute Of Technology, Kanpur
    Mechanical Engineering
  • Indian Institute Of Technology, Kanpur
    Indian Institute Of Technology, Kanpur
    Bachelor Of Technology - Btech
  • Indian Institute Of Technology, Kanpur
    Indian Institute Of Technology, Kanpur
  • Indian Institute Of Technology, Kanpur
    Indian Institute Of Technology, Kanpur

Frequently Asked Questions about Sumeet Kumar

What company does Sumeet Kumar work for?

Sumeet Kumar works for Auxia

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

Sumeet Kumar's current role is Head of Machine Learning and Data Science.

What is Sumeet Kumar's email address?

Sumeet Kumar's email address is su****@****uxia.io

What schools did Sumeet Kumar attend?

Sumeet Kumar attended Massachusetts Institute Of Technology, Massachusetts Institute Of Technology, Indian Institute Of Technology, Kanpur, Indian Institute Of Technology, Kanpur, Indian Institute Of Technology, Kanpur, Indian Institute Of Technology, Kanpur.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.