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@aganitha
Data Scientist
June 14, 2026 – Present
diabetes-progression
February 28, 2026 – Present
A precision-focused binary classifier that predicts diabetes onset risk from clinical metabolic markers, using predicted probability as a continuous progression proxy. Features fairness auditing across demographic groups, patient-level SHAP explainability, statistical drift monitoring, and a Streamlit clinician dashboard.
View Projectgamebucks
November 27, 2023 – November 27, 2023
Backend for E-commerce platform for Games
View Projectpokedexcli
April 1, 2023 – July 3, 2025
Pokedex created in Go command line REPL format using data from PokeAPI
View Projectreddit-cli
November 13, 2022 – December 2, 2022
A CLI application to login and browse reddit
View ProjectLeaf_count_streamlit_app
January 9, 2021 – January 9, 2021
Streamlit app that demonstrates the use of the best model for leaf count
View ProjectLeaf-Count-Prediction
December 28, 2020 – December 30, 2020
Deep Learning case study based on predicting leaf counts given the plant image.
View ProjectElo-Merchant-Category-Recommendation
October 11, 2020 – October 15, 2020
A Machine Learning Case Study based on helping the company target customers by predicting the customer loyalty score based on the transactions data.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, covering a wide range of technologies beyond just data science (Go, JavaScript, HTML). This indicates a curious and self-driven individual. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative environment. The current role as 'Data Scientist' aligns with the target role, but the experience level is listed as 0, which contradicts the current employment. This discrepancy needs clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but no direct assessment of collaboration, communication, or problem-solving under pressure is available.