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@iiitkottayam
Data Scientist
June 13, 2026 – Present
credit_risk_modelling
July 14, 2024 – July 16, 2024
A machine learning model to predict the probability of credit risk based on demographic data, credit attributes, and historical credit behavior.
View Projectdata_science_and_ml_learning
July 1, 2024 – October 11, 2024
A comprehensive repository showcasing my projects and learnings in machine learning and deep learning, including code implementations, model training, and evaluation methodologies.
View Projecttext-extraction-using-llm
June 4, 2024 – June 4, 2024
A LLM based text extraction approach to get the relevant data from any kind of format.
View Projecthirequotient-dashboard
December 1, 2023 – December 3, 2023
A dashboard made for hirequotient.
View Projecttrello-clone-task
September 25, 2023 – September 26, 2023
trello-clone-task — GitHub repository
View Projectcricket-score-extension
August 30, 2023 – August 30, 2023
Chrome Extension that shows quick live updates about match scores
View Projectphotobook
January 31, 2023 – July 11, 2023
A visually stunning web application built with React and Chakra UI. It showcases photobooks in a magazine-like format, using the react-pageflip package to create a realistic flipping effect. Users can enjoy the immersive experience of flipping through virtual pages, reminiscent of a physical photobook.
View ProjectHashcat-Learning
January 24, 2023 – January 24, 2023
Hashcat-Learning — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, ranging from web development (React, Chakra UI) to data science and security (Hashcat-Learning). While this shows breadth, the lack of collaborative projects or detailed descriptions of team involvement makes it difficult to assess cultural fit. The single listed professional experience as 'Data Scientist' at '@iiitkottayam' is current but lacks details on responsibilities or achievements, making alignment with a specific company culture hard to determine.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, and there are no interview notes or detailed project contributions to evaluate these aspects.