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Data Scientist
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Johnson & Johnson
Data Scientist
June 19, 2026 – Present
MachineHack_Computer_Vision_Hackathon
July 14, 2020 – July 14, 2020
MachineHack_Computer_Vision_Hackathon — GitHub repository
View ProjectMachineHack_Video_Game_Sales_Prediction_Hackathon
July 14, 2020 – July 14, 2020
MachineHack is an online platform for Machine Learning competitions. which hosts toughest business problems that can now find solutions in Machine Learning & Data Science.
View ProjectMachineHack_Ecommerce_Price_Prediction
June 15, 2020 – July 14, 2020
#Rank 21 solution for Ecommerce price prediction hackathon organised by MachineHack.
View ProjectMachineHack_Glass_Quality_Preditction
May 25, 2020 – March 14, 2022
#Rank 6 solution of Machine Hack: Glass Quality Prediction Weekend Hackathon #6
View ProjectGreyAtom_Capstone_Project
April 16, 2020 – April 16, 2020
This repository contains a complete capstone project.
View ProjectGradient_Boosting_Machines_ProblemSolving
January 13, 2020 – January 13, 2020
Income classification problem solving using Gradient Boosting Machines
View ProjectGreyAtomHackathon_1
January 13, 2020 – May 14, 2020
Winning solution of Credit Consumption Prediction Hackathon conduced by GreyAtom School Of Data Science
View ProjectData_Science_Hackathon
November 30, 2019 – November 30, 2019
Data science hackathon problem of Term deposit prediction for a Portuguese bank.
View ProjectForest_Type_Cover_Prediction
November 21, 2019 – November 21, 2019
This repository contains a multi class classification project implemented using different feature selection techniques to improve model performance.
View ProjectCultural Fit Analysis
The candidate's project history is heavily focused on personal hackathon participation, which demonstrates individual drive but provides limited insight into team collaboration or experience in a structured corporate environment. The single current role at Johnson & Johnson is recent, making it difficult to assess long-term cultural alignment. The lack of diverse project types beyond hackathons might indicate a narrow exposure to different problem domains or project lifecycle stages.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief and do not provide insights into collaboration, problem-solving approaches, or communication style.