Shubajit Saha

C Machine Learning Engineer Models Training

https://www.opentalent.in/shubajit-saha

Machine Learning Engineer at Google.

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Machine Learning and Natural Language Processing through personal projects like 'BLUE-Benchmark' and 'humor-generation'.
Experience with Python and Jupyter Notebook, which are foundational for ML engineering roles.
Basic understanding of C++ as evidenced by the 'basicfs' project, which is relevant for performance-critical ML model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows initiative through several personal projects, indicating a self-starter attitude. The diversity of projects (ML, web development, file system) suggests a broad interest, which could be beneficial for cross-functional collaboration. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

reverse

May 25, 2020 – May 25, 2020

A toy python package that can be used us a template for creating new python packages.

View Project

deeplearning-library

May 5, 2020 – May 5, 2020

A subtopic wise collection of Research Papers in the area of deep learning

View Project

BLUE-Benchmark

April 22, 2020 – May 21, 2020

Bengali Language Understanding Evaluation Benchmark

View Project

MLModels-

February 28, 2019 – February 28, 2019

ML models written in python

View Project

100DaysOfMLCode

July 6, 2018 – July 6, 2018

100DaysOfMLCode — GitHub repository

View Project

humor-generation

May 6, 2018 – June 14, 2018

Generate Humor using LSTM variant

View Project

Hindi-Lyrics-Dataset

April 7, 2018 – April 8, 2018

Hindi Lyrics dataset Mined from web

View Project

workflow

June 15, 2017 – June 15, 2017

workflow — GitHub repository

View Project

basicfs

November 23, 2015 – November 28, 2015

Userlevel Unix style Basic File System

View Project

apriori-variants

November 11, 2015 – November 11, 2015

java code for apriori and variations

View Project

Key Strengths

Demonstrated interest in Machine Learning and Natural Language Processing through personal projects like 'BLUE-Benchmark' and 'humor-generation'.
Experience with Python and Jupyter Notebook, which are foundational for ML engineering roles.
Basic understanding of C++ as evidenced by the 'basicfs' project, which is relevant for performance-critical ML model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Shubajit Saha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit