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TCS
Data Scientist
June 19, 2026 – Present
Breast-Cancer-Prediction
February 13, 2026 – Present
Breast-Cancer-Prediction — GitHub repository
View ProjectHouse-Price-Prediction
February 22, 2022 – February 22, 2022
Predict the House Price using various features
View Project2021-Kaggle-Machine-Learning-and-Data-Science-Survey
November 30, 2021 – December 18, 2021
In this project work we have explored several interesting facts about the Machine Learning Practitioners of Kaggle in 2021
View ProjectUS-Accidents-Exploratory-Data-Analysis
November 11, 2021 – November 28, 2021
In this project we have applied different EDA and Data Visualization techniques for extracting several interesting facts about the road accidents in US (2016-2020)
View ProjectBank-Note-Authenticity-Predictor
October 30, 2021 – November 7, 2021
In this project, we will build an application for predicting the authenticity of the bank note based on few attributes.
View ProjectSMS-Spam-Classification-Using-NLP
October 24, 2021 – October 28, 2021
In this project we will apply basic NLP techniques on raw SMS data for creating a Classification model.
View ProjectTitanic-Survival-Prediction
September 6, 2021 – October 28, 2021
This repo contains several EDA, Data Pre-Processing, Feature Engineering, Model Selection and Final Model Building Procedures for the ML beginner's Classical Titanic Problem
View ProjectE-Commerce-Application-APIs-using-Django
June 30, 2021 – September 14, 2021
In this project the backend part of the E-Commerce Application is developed using Django Rest Framework
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on data science and machine learning, aligning with the target role. However, the projects are all personal and lack diversity in team collaboration or real-world business impact. The experience level is listed as 0, with a current role at TCS starting in the future, indicating a very junior or aspiring profile. This suggests a potential gap in practical industry experience and collaborative work environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.