BCA (Data Science) Graduate | Python Developer | Machine Learning Enthusiast
I build machine learning and data-driven applications using Python, TensorFlow, and Scikit-learn.
Interested in solving real-world problems with ML, NLP, and backend development.
Programming: Python, SQL
Data Science: Pandas, NumPy, Data Cleaning, Feature Engineering
Machine Learning: Scikit-learn, TensorFlow, Model Evaluation
Deep Learning: CNN, LSTM, ANN
NLP: Text Preprocessing, Tokenization, TF-IDF
Visualization: Matplotlib, Seaborn
Web & Deployment: Streamlit
Databases: MySQL, SQLite
Tools: Git, GitHub, VS Code, Jupyter Notebook
• Moonleaf Cafe Management System
Full-stack web application built using Python, Django, and SQL for managing cafe orders, menu items, and customer records with database integration.
• AI Resume Analyzer
NLP-based application using Python, Streamlit, and NLP techniques to analyze resumes and extract relevant skills.
• Movie Genre Classification
Machine learning model built with Python, TF-IDF, and Scikit-learn to classify movie genres based on plot descriptions.
• Spam Detection using Machine Learning
Text classification model using Python, NLP, TF-IDF, and Scikit-learn for detecting spam messages.
• Credit Delinquency Prediction
Machine learning model using Python, Pandas, and Scikit-learn to predict credit default risk from financial data.
• Resume & Profile Automation
AI-powered system developed with Python and NLP for analyzing resumes and extracting key candidate skills.
- Building end-to-end ML projects from data preprocessing to deployment
- Writing clean, readable, and reproducible code
- Continuously learning and improving model performance