Sachin Gupta
Data ScientistData Science and ML Enthusiast
Capgemini
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science and ML Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Capgemini
Data Scientist
June 16, 2026 – Present
Tvarit-Industry-Challenge
March 3, 2019 – March 3, 2019
Tvarit-Industry-Challenge — GitHub repository
View ProjectCredit-Card-Fraud-Detection-using-SOM
January 8, 2019 – January 8, 2019
Credit-Card-Fraud-Detection-using-SOM — GitHub repository
View ProjectLSTM-Model-for-predicting-different-trends-of-Google-Stock-price-using-RNN
January 2, 2019 – January 2, 2019
LSTM-Model-for-predicting-different-trends-of-Google-Stock-price-using-RNN — GitHub repository
View ProjectImage-Classification-using-CNN
January 1, 2019 – January 1, 2019
Image-Classification-using-CNN — GitHub repository
View ProjectCustomer-Churn-prediction-using-ANN
December 31, 2018 – December 31, 2018
Customer-Churn-prediction-using-ANN — GitHub repository
View Projectm-Indicator-Machine-Learning-Hackathon-2018
December 31, 2018 – December 31, 2018
m-Indicator-Machine-Learning-Hackathon-2018 — GitHub repository
View ProjectNews-Classifier-based-on-diferent-topics
December 31, 2018 – December 31, 2018
News-Classifier-based-on-diferent-topics — GitHub repository
View ProjectPUBG-Finish-Placement-Prediction
December 14, 2018 – December 14, 2018
PUBG-Finish-Placement-Prediction — GitHub repository
View ProjectFakeNewsDetector
December 14, 2018 – December 14, 2018
FakeNewsDetector — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on machine learning and deep learning, which aligns with a Data Scientist role. However, the projects are all personal and primarily use Jupyter Notebook, suggesting a potential lack of experience in collaborative development, MLOps, or production-grade system integration. The diversity of project topics is good, but the depth of each project is not detailed. The experience level is 0, despite a current role, which is contradictory and needs clarification. This suggests a potential gap in understanding real-world project lifecycle beyond individual experimentation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insights.