Mausam Jain

Based in: Tokyo, Japan

Hey, I am Mausam! I'm a Research Scientist at RIT, Rakuten Inc. I am working on developing speech processing solutions related to STT for voice search and TTS for audio books. Previously, I worked on financial forecasting of stocks and bonds for trading.

I am also inclined towards Natural Language Processing (NLP) for which I've worked on NLU solution for a basic interactive robot and BERT based models for sentiment analysis.

"Peace is not merely a distant goal that we seek, but a means by which we arrive at that goal."
- Martin Luther King, Jr.


Research Scientist

Rakuten Institute of Technology, Rakuten Inc.

Develop solutions using machine learning and deep learning for various Rakuten businesses like Voice search, Audio books and Financial forecasting. Worked on TTS synthesizers like Tacotron and vocoder like WaveRNN which present trianing and convergence challenges with new language.

September 2017 - Present

Data Science Intern

Bosch Japan

Worked on prediction of "Leaf-wetness in the green-house environment" with the help of data collected by the sensors like humidity and temperature using decision trees and regression techniques. A low-data DNN solution was developed to compare with classical algorithms.

July 2016 - September 2016


Indian Institute of Technology Hyderabad

Masters in Computer Science

Advanced Machine Learning, Computer Vision, Database Management, Predictive Analysis, Linear Optimization
GPA: 8.75

August 2015 - May 2017

Walchand Institute of Technolgy

Bachelors in Computer Science

Discrete Mathematics, Theory of Computation, Digital Electronics, Computer Networks, Compiler Construction
Percent: 72.3%

August 2010 - May 2014


Data Science -
  • Python
  • C++
  • PyTorch
  • Scikit-learn
  • MySQL
  • Git
  • Docker
  • Bash
Web Designing -
  • HTML
  • CSS
  • SASS
  • PHP
  • Javascript
  • Bootstrap


Apart from work, I like Cooking and when given enough time, I experiment with new vegetarian dishes.
I enjoy playing Cricket, Badminton and Table-tennis anytime (and workout sometimes­čą┤).
Listening to Arijit Singh's music is my all time favourite.