Rahul Sinha

Data Scientist

https://www.opentalent.in/rahul-sinha-2

Code for Living,Living for Code

TCS

Key Strengths

Experience in Machine Learning models for prediction and classification (ARIMA, various classification algorithms).
Familiarity with sentiment analysis using NLP techniques (Neural Networks, LSTM, Textblob).
Practical experience with Jupyter Notebook for data science projects.
Current role as a Data Scientist at TCS indicates direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse interest in various technologies beyond data science, including web development (React.js, Spring Boot, Flutter) and basic HTML/CSS/JavaScript. While this demonstrates breadth, it also suggests a potentially less focused path towards a senior Data Scientist role. The current role as a Data Scientist at TCS aligns well, but the project portfolio indicates a broader interest which might need to be validated for a focused senior data science position.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

portfolio_app

June 28, 2021 – June 28, 2021

Portfolio website using React.Js

View Project

productApp_spring

February 11, 2021 – February 11, 2021

CRUD Spring Application

View Project

userDetailsApplication

February 8, 2021 – February 8, 2021

User Data storing application based on Springboot,hibernate and RESTful APIs

View Project

emoji_sentiment_analysis

November 28, 2020 – December 3, 2020

Emoji recommendation using Neural Networks and LSTM

View Project

twitter_sentiment_analysis

October 8, 2020 – October 8, 2020

A Python program to analyse sentiment of tweets on a particular topic using Textblob, Tweepy and Python

View Project

Airplane-Passenger-Prediction

August 29, 2020 – August 29, 2020

Implementation of Machine Learning model based on ARIMA for predicting count of Airplane passengers

View Project

Boston_Housing_Project

August 29, 2020 – August 29, 2020

A regression based Machine Learning model to predict the costing of house in Boston

View Project

covid19tracker

July 24, 2020 – July 24, 2020

COVID-19 LIVE Count Tracking App using Flutter

View Project

HTML-CSS-form-with-JS-validation

July 23, 2020 – July 23, 2020

Simple Login form with JAVAScript Validation

View Project

Indian-Liver-Patient-Detection-ML

July 23, 2020 – July 23, 2020

A Classification model comprising of various classification algorithms to detect Liver Patients

View Project

Key Strengths

Experience in Machine Learning models for prediction and classification (ARIMA, various classification algorithms).
Familiarity with sentiment analysis using NLP techniques (Neural Networks, LSTM, Textblob).
Practical experience with Jupyter Notebook for data science projects.
Current role as a Data Scientist at TCS indicates direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Rahul Sinha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit