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customer-delinquency-credit-card
May 20, 2025 – June 26, 2025
customer-delinquency-credit-card — GitHub repository
View Projectequity-research-eicher-motors
May 13, 2025 – July 15, 2025
equity-research-eicher-motors — GitHub repository
View Projectcustomer-segmentation-uk-retail
May 9, 2025 – May 13, 2025
customer-segmentation-uk-retail — GitHub repository
View Projectprivate-library-assistant
March 7, 2025 – May 31, 2025
A RAG based LLM agent that retrieves information from your private collection of digital books
View Projecttrade-risk-gain-backtest
February 4, 2025 – February 4, 2025
This repository allows users to test and optimize trading strategies by analyzing performance under varying risk conditions, helping to refine models for better real-world execution. Features include trade simulation, performance metrics, and customizable risk parameters.
View Projectfyers-data-fetcher
January 31, 2025 – February 10, 2025
A Python-based tool to fetch historical stock market data from Fyers API. Supports downloading OHLC (Open, High, Low, Close) data for equities, indices, and other instruments, making it useful for backtesting, analysis, and algorithmic trading.
View Projectimage-stitching
January 5, 2021 – February 14, 2021
A python package to stitch multiple images either horizontally or vertically
View Projectatfm-delay-prediction
December 31, 2020 – January 25, 2021
Machine learning approach to predict ATFM delay (in min) and delayed flights in the European Air Traffic Management Network (EATMN) with only capacity regulations as input
View Projectdog-breed-predictor-kaggle
April 7, 2020 – October 5, 2020
ResNet50 model with modified output layer to predict 120 breeds of dogs. The training set is a subset of dog images used for ImageNet.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in diverse data science applications, ranging from computer vision and NLP to financial analysis and predictive modeling. This breadth of interest suggests adaptability and a willingness to explore different problem domains, which could contribute positively to a dynamic team environment. The focus on personal projects indicates self-motivation and initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying various data science techniques.