Naveen Elango

Naveen Elango

Product Manager, Paytm

Columbia University

Biography

I am currently a Master’s student at Columbia University in their Management Science and Engineering program, with over 2 years of work experience in both a product manager as well as a technical developer role. My professional experience includes working as a Product Manager at Paytm (#1 Mobile Payments App in India) and prior to that working in one of the most competitive industries as a Quantitative Researcher at Trexquant Investments (Hedge Fund).

I love building things from scratch and hence have a natural inclination towards Product Management and my interests lie broadly in the areas of Advertising Technology (AdTech), Artificial Intelligence and Cloud Computing.

Apart from these I like to indulge in creative artforms, such as painting, sketching, and more recently abstract photography. You can find more details and some of my interesting works in the sections below.

Interests
  • Product Management
  • Artificial Intelligence
  • High Performance Computing
Education
  • MS in Management Science & Engineering, 2023

    Columbia University

  • BTech (Honors) in MechE, 2022

    Indian Institute of Technology Madras

Professional Experience

 
 
 
 
 
Product Manager
Nov 2021 – Aug 2022 India
 
 
 
 
 
Quantitative Researcher
Sep 2020 – Nov 2021 India
 
 
 
 
 
Global Alpha Researcher
Feb 2020 – Aug 2020 India
 
 
 
 
 
Software Engineering Intern
Dec 2019 – Feb 2020 India
 
 
 
 
 
Data Scientist Intern
May 2019 – Jul 2019 India

Skills & Interests

Product Management
Advertising Technology (AdTech)
ML/AI
Painting/Art
Photography

Certifications

Coursera
AWS Fundamentals: Going Cloud-Native
Skills Gained - Cloud Computing, Storage and Networking
See certificate
Coursera
Parallel, Concurrent, and Distributed Programming in Java (Specialization)

Courses

  • Parallel Programming in Java
  • Concurrent Programming in Java
  • Distributed Programming in Java
See certificate
Coursera
Practical Reinforcement Learning

Skills Gained

  • Foundations of RL methods
  • Deep neural networks for RL
  • Neural network to play games
  • State of the art RL algorithms
See certificate
Coursera
Deep Learning (Specialization)

Courses

  • Convolutional Neural Networks
  • Structuring Machine Learning Projects
  • Sequence Models
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Neural Networks and Deep Learning
See certificate
Coursera
Machine Learning

Skills Gained

  • Logistic Regression
  • Artificial Neural Network
  • Machine Learning (ML) Algorithms
See certificate
Coursera
Python for Everybody (Specialization)

Courses

  • Programming for Everybody (Getting Started with Python)
  • Using Databases with Python
  • Python Data Structures
  • Capstone: Retrieving, Processing, and Visualizing Data with Python
  • Using Python to Access Web Data
See certificate

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