Avishek Kumar

Avishek Kumar Email and Phone Number

Lead Data Scientist @ Credit Karma
San Diego, CA, US
Avishek Kumar's Location
San Diego Metropolitan Area, United States, United States
Avishek Kumar's Contact Details

Avishek Kumar personal email

n/a
About Avishek Kumar

I am currently a data scientist working on problems in personalized medicine and social good. I also enjoy teaching and mentoring. An up-to-date list of publications can be found on my google scholar page (https://scholar.google.com/citations?user=yIsdY40AAAAJ&hl=en). My work often requires the use of high-performance computing resources, large clusters of computers needed to solve physical problems. I am also proficient in R/python/C/C++/SQL and parallel programming (github: https://github.com/avishekrk). I have taught introductory physics courses at ASU and mentored graduate students. I am currently teaching an executive education course to train members of local, city, and state governments to use data science in their everyday work (https://coleridgeinitiative.org/).

Avishek Kumar's Current Company Details
Credit Karma

Credit Karma

View
Lead Data Scientist
San Diego, CA, US
Website:
creditkarma.com
Employees:
2019
Avishek Kumar Work Experience Details
  • Credit Karma
    Lead Data Scientist
    Credit Karma
    San Diego, Ca, Us
  • Credit Karma
    Senior Data Scientist Ii
    Credit Karma Aug 2022 - Present
    Oakland, California, Us
  • Intuit
    Staff Data Scientist
    Intuit Jan 2021 - Aug 2022
    Mountain View, California, Us
  • Intuit
    Senior Data Scientist
    Intuit Jun 2019 - Jan 2021
    Mountain View, California, Us
  • The University Of Chicago
    Data Scientist At Center For Data Science And Public Policy
    The University Of Chicago May 2016 - Jun 2019
    Chicago, Il, Us
    • Created a risk assessment tool to predict which HIV+ patients are likely to drop out of care for use by the University of Chicago HIV clinic and Chicago Department of Public Health.• Deployed a machine learning model for predicting which homes in the city of Chicago are likely to have lead hazards that lead to early childhood lead poisoning. This work was in partnership with the Chicago Department of Public Health, the Chicago Department of Innovation and Technology and Alliance HealthCare, awarded the Academy Health Local/State Innovation Prize.• Built and deployed a machine learning system to identify which city blocks are most at risk of having water main breaks for the city of Syracuse, NY. This work has been featured in State Scoop, Water Online, and Politico and replicated in several cities.• Developed a point-of-service model for predicting general recidivism for the Illinois Department of Corrections. Conducted a retrospective study to understand the effect of technical recidivism violations on an offender’s ability to obtain future employment.• Wrote and taught the curriculum for the Coleridge Initiative, a 3-month long course to train the heads of city and state government agencies on the use of data science methods to solve public policy problems.
  • Arizona State University
    Postdoctoral Research Associate/Systems Administrator
    Arizona State University Aug 2014 - Oct 2016
    Tempe, Az, Us
    • Worked on problems related to protein dynamics, protein structure refinement, genetic disease prediction, and antibiotic resistance using molecular dynamics and machine learning methods.• Wrote several software packages for studying protein dynamics and analyzing genetic disease in Python.• Built and maintained a 1408 node supercomputer as systems administrator.• Authored six publications in peer reviewed journals and mentored two doctoral students.
  • Arizona State University
    Graduate Teaching Assistant
    Arizona State University Jan 2012 - Aug 2014
    Tempe, Az, Us
    • Held Online Recitations using Adobe Connect.• Recorded Recitations using ScreenCast and developed modus operandi for Recorded Recitations.• Proctored Examinations.• Won Outstanding Graduate Teaching Assistant Award.
  • Arizona State University
    Graduate Research Associate
    Arizona State University Aug 2009 - Aug 2014
    Tempe, Az, Us
    • Developed software packages in C++, Python, and Fortran to study amorphous materials.• Authored five publications in peer reviewed journals. Awarded over $60,000 through multiple fellowships to fund research.
  • Arizona State University
    Instructor
    Arizona State University Aug 2012 - Dec 2012
    Tempe, Az, Us
    • Responsible for all aspects of the course lectures, examinations, recitations•Won best Teaching Assistant Award

Avishek Kumar Skills

Physics Science Python Matlab Data Analysis Research Latex Statistics Mathematical Modeling Computational Physics Fortran Materials Science Molecular Biology Mathematica University Teaching High Performance Computing C++ Biophysics Nanotechnology Teaching Spectroscopy Pcr Simulations Programming Sql Gis Modeling Machine Learning Microsoft Office Public Speaking Data Mining R Numerical Analysis Algorithms Analytics Predictive Modeling Cloud Computing Big Data Analytics

Avishek Kumar Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    Physics
  • Arizona State University
    Arizona State University
    Physics
  • Blair Academy
    Blair Academy
    High School Diploma

Frequently Asked Questions about Avishek Kumar

What company does Avishek Kumar work for?

Avishek Kumar works for Credit Karma

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

Avishek Kumar's current role is Lead Data Scientist.

What is Avishek Kumar's email address?

Avishek Kumar's email address is ak****@****ago.edu

What schools did Avishek Kumar attend?

Avishek Kumar attended Carnegie Mellon University, Arizona State University, Blair Academy.

What skills is Avishek Kumar known for?

Avishek Kumar has skills like Physics, Science, Python, Matlab, Data Analysis, Research, Latex, Statistics, Mathematical Modeling, Computational Physics, Fortran, Materials Science.

Who are Avishek Kumar's colleagues?

Avishek Kumar's colleagues are Trenton Green, Yasemin Yackey, Mba, Paul Okey, Kim Jones, Bradley Shaw, Sailaja V, Doug Jones.

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