Shreyas Shenoy | OpenTalent | OpenTalent

Shreyas Shenoy

Shreyas Shenoy

Data Scientist

https://www.opentalent.in/shreyas-shenoy

Engineer @TCS

Bengaluru, Karnataka, IndiaMember since June 19, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://www.opentalent.in/shreyas-shenoy

Top Skills

PythonJupyter Notebook

Skills

PythonJupyter Notebook

Projects

delivery-analytics

April 11, 2026 – Present

delivery-analytics — GitHub repository

Customer-Feedback-Analysis

April 2, 2026 – Present

Customer-Feedback-Analysis — GitHub repository

MoE_Implementation

September 21, 2025 – September 21, 2025

MoE_Implementation — GitHub repository

NLP-for-Sentiment-Analysis-of-Customer-Feedback-

February 4, 2025 – February 4, 2025

The project builds a sentiment analysis report over Amazon's customer review csv

AI_Planet_Assigment

January 11, 2025 – January 11, 2025

AI_Planet_Assigment — GitHub repository

Real-Time-Text-to-Speech

January 3, 2025 – January 5, 2025

Real-Time-Text-to-Speech — GitHub repository

CSES-solutions

January 1, 2025 – January 2, 2025

Trying to solve all CSES questions in python

NumpyTest

August 20, 2024 – August 20, 2024

NumpyTest — GitHub repository

Data-Science-Interview-Questions-Cheatsheet

August 14, 2024 – August 14, 2024

This Pdf includes various questions which might be helpful for your data science interview

data-science-portfolio

July 17, 2024 – July 17, 2024

Data Science Portfolio showcasing various projects

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Proficiency in Python for data science tasks.
Experience with NLP and sentiment analysis projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong personal drive for learning and applying data science concepts, as evidenced by numerous personal projects. The diversity of projects (delivery analytics, NLP, customer feedback) indicates a broad interest within the data science domain. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and cultural alignment in a professional setting.

Soft Skills & Operational Fit

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