Tanmay Gupta

Tanmay Gupta

Data Scientist

IBM Chief Analytics Office

Biography

Tanmay Gupta is a Data Scientist at IBM’s Chief Analytics Office (CAO). His research interests include time series forecasting, applied deep learning, and natural language processing.

As a student of Mathematics and Business, he aspires to serve as a thought-leader functioning at the intersection of technology and business. With a goal of bringing emerging technology into the mainstream, he intends on becoming a strategist, innovator, and research scientist.

Download resumé

Interests

  • Applied Deep Learning
  • Natural Language Processing
  • Time Series Forecasting

Education

  • BS in Statistics and Mathematics, 2020

    New York University | Stern School of Business | Courant Institute of Mathematical Sciences

  • High School Diploma, 2016

    The Doon School

Experience

 
 
 
 
 

Data Scientist

IBM Chief Analytics Office

Aug 2020 – Present New York, New York

Client Health for IBM Cloud

  • Developed, engineered, and deployed an automated monthly usage forecasting system
    • Building distributed time series forecasting method
    • Customizing ensemble methods such as Random Forests and XGBoost
    • 300 Customer Success Managers get insights into the future of their Cloud clients in their dashboard
  • Coordinated a team of 6 and organized the recruiting efforts at NYU
    • From initial outreach, info sessions, to evaluating resumes, and corresponding with the candidates
    • Targetted 70 students for summer internship positions and met the criteria of candidates we set to achieve
 
 
 
 
 

Part-time Data Scientist

NICHE (Nurses Improving Care for Healthsystem Elders)

Aug 2018 – May 2020 New York, New York

Geriatric Assessment Survey

  • Report generation and automation in R and R Markdown
  • Rapid development and scaling up
  • Descriptive data analysis and visualization
  • Statistical tests: Cronbach’s alpha, Factor analysis, and Clustering analysis
  • Worked directly with the Executive Director, Dr Mattia Gilmartin

Accomplish­ments

IBM CAO Rockstar

IBM Feb 2021
Recognized as CAO Rockstar in Feb 2021 for exemplary work ethic and results

IBM CAO Hackathon 2020 Winner

IBM Oct 2020
Competed against 10 teams, each of eight Data Scientists. Awarded Best Model, Best Presentation, and stood first overall

Practical Deep Learning for Coders (Part 1 and 2)

fastAI Jun 2020 – Aug 2020
Undertook this course as a challenge after graduation from NYU. Developed 2 projects while finishing the coursework.

Graduated NYU: Class of 2020

NYU Stern and NYU Courant May 2020

Projects

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All Deep Learning NICHE Other

NICHE Report 2019

Geriatric Assessment Report v2.0 after making adjustments based on client feedback. Created for 2 Cohorts of 15 clients each. All coded in R Markdown and automated
Code
NICHE Report 2019

NICHE Report 2018

Revamp the quarterly Geriatric Assessment Report (GIAP) that goes to all new clients (Major Hospitals). Using R Markdown to import, analyze, and visualize data in a report form for each client - automated generation for all clients
Code
NICHE Report 2018

Comparison of Numerical Optimization Methods in Machine Learning

Final project for Numerical Optimization with Professor Margaret Wright. Doing a comparative study of types of optimizers and their performance on binary classification problems
Comparison of Numerical Optimization Methods in Machine Learning

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Contact

Feel free to reach out with any interesting research projects!