Data Science and Analytics Professional with ~7 years of experience in AI/ML/Business Consulting across various BFSI, Pharma and CMFE domain.
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Barclays
Data Scientist
June 18, 2026 – Present
Pyspark_Regression
October 13, 2022 – October 14, 2022
Pyspark_Regression — GitHub repository
View ProjectStock-Market-Forecasting
September 13, 2022 – September 13, 2022
Stock-Market-Forecasting — GitHub repository
View ProjectHeart-Disease-Prediction-for-Patients
August 19, 2022 – August 26, 2022
Heart-Disease-Prediction-for-Patients — GitHub repository
View ProjectK-Nearest-Neighbors-Social-Media-Ads
June 9, 2021 – June 9, 2021
Using K-Nearest Neighbors model to predict if a person is going to buy a new car or not based on the available data
View ProjectLogistic-Regression-for-Predicting-Credit-Card-Approvals
June 4, 2021 – July 8, 2025
Commercial banks receive a lot of applications for credit cards. Many of them get rejected for many reasons, like high loan balances, low income levels, or too many inquiries on an individual's credit report, for example. Manually analyzing these applications is mundane, error-prone, and time-consuming (and time is money!). Luckily, this task can be automated with the power of machine learning and pretty much every commercial bank does so nowadays. In this project, I have built an automatic credit card approval predictor using logistic regression technique, just like the real banks do!
View ProjectSimple_Linear_Regression_For_Salary_Prediction
June 4, 2021 – June 4, 2021
Simple Linear Regression for predicting salary of employees on the basis of years of experience
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on common machine learning tasks and EDA, indicating a foundational understanding of data science concepts. However, the lack of diverse technologies beyond Jupyter Notebook and the absence of team-based project descriptions make it difficult to assess collaboration or broader cultural fit. The single professional experience entry is current but lacks detail on responsibilities or achievements.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.