Machine Learning & Data Science enthusiast | Full-stack developer | Python, JavaScript, C#, Go
- Data-Gatherer: Gatherer is a comprehensive project designed to scrape, clean, and transform company contact data from various sources.
- Wikipedia-NLP: Python-based command-line NLP tool for analyzing and summarization of Wikipedia content.
- Smart-Matching-Service: A Java Spring Boot application for intelligent matching.
- Wallet-Platform: A Go-based wallet platform for managing digital assets.
- Heart-Disease Classification: A machine learning model to classify the possibility of a patient having heart disease.
- Gold-Market Insights: In-depth analysis of the Gold Monthly dataset, examining trends, volatility, and returns in the gold market.
- Iris-Model: A machine learning project using supervised techniques to classify Iris flower species.
- HackerNews-Scraper: A Python-based scraper using Beautiful Soup and an API to extract and organize data from Hacker News.
- Dog-Vision: Neural Networks dog breed classifier model developed on Google Colab.
- Image-Modifier: A versatile image manipulation tool combining Pillow for processing and PyQt6 for GUI.
- Django-Blog: Personal blog created as a Django web application with profile management and post creation features.
- Password-Checker: Python-based web application that utilizes hashing and privacy techniques in order to securely validate users password.
- Languages: Python, JavaScript, C#, Go, R, HTML, CSS
- ML/DL: TensorFlow, PyTorch, Scikit-Learn, NumPy, OpenCV
- Data Processing: Pandas, Matplotlib, Beautiful Soup, SQL, Selenium
- Frameworks: Django, Flask, React, PyQt, Spring Boot
- Other: Git, Bash, JQ, Maven
Always learning and open to new opportunities!