Master's Degree, Data Science and Analytics
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Loan-Approval-using-Logistic-Regression-in-R
April 30, 2018 – April 30, 2018
Minimize risk and maximize profit for the bank by predicting which customer is more likely to repay the loan and who will not repay the loan. Implemented Logistic regression model in R for Data analysis and prediction
View ProjectFace-Recognition
April 25, 2018 – April 25, 2018
Developed face recognition system using principal component analysis(PCA) followed by linear discriminant analysis(LDA). PCA is used for dimensionality reduction. LDA is for classification.
View ProjectImage-based-Human-Age-and-Gender-Estimation
April 25, 2018 – April 25, 2018
Approach: Age estimation by first extracting Biologically Inspired Features(BIF), and then applying Kernel Partial Least Square Regression algorithm.
View ProjectPredicting-Healthcare-costs
April 25, 2018 – April 25, 2018
Using patient's diagnosis information, a CART(Classification And Regression Trees) model is built to have a multi-class classification of patients into buckets indicating level of risk and the cost involved.
View ProjectMovie-Recommendation-System
April 25, 2018 – April 25, 2018
Groups of movies with similar genres are segmented by clustering. First, the distances between data points is calculated and then Hierarchical clustering is applied to classify the data points into clusters. Thereafter using content filtering, movies are recommended.
View ProjectCultural Fit Analysis
The candidate's projects are all personal and academic in nature, primarily focusing on machine learning model implementation. While relevant to a Data Scientist role, the lack of team-based projects, professional experience, or diverse project types (e.g., deployment, MLOps, data engineering) suggests a potential gap in understanding broader industry practices and collaborative environments. This limits the assessment of cultural fit beyond individual technical contribution.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to apply technical concepts to solve problems.