About
Computer Engineering graduate with hands-on experience building machine learning, NLP, and AI-powered web applications. Developed an end-to-end menstrual irregularity detection system using classification, time-series prediction, and chatbot-based retrieval and generation.
Education
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Bachelor of Computer EngineeringTUComputer Engineering
Skills
<3 months
<3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL
JWT
RAG
NumPy
React
Faiss
Python
Django
Pandas
Tf-Idf
Chatbots
Matplotlib
Data Science
scikit-learn
Data Cleaning
Random Forest
Classification
Machine Learning
Model Evaluation
Data Preprocessing
Feature Engineering
Supervised Learning
Django Rest Framework
Natural Language Processing
API Integration Understanding
Tools / apps / platforms
<3 months
<3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git
GitHub
SQLite
PostgreSQL
Microsoft Excel
Projects
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Menstrual Irregularity Detection SystemPython, Scikit-learn, Random Forest, LSTM, NLP, FAISS, GPT-2, Django, React.js, PostgreSQL
Final-year project: an AI-powered web application for menstrual cycle prediction and irregularity detection with machine learning, NLP, chatbot, backend API integration, and authenticated data management.