Building AI-powered applications with Python, Machine Learning, and Data Analytics.
🎓 2026 Graduate | Data Science Intern (11 Months Completed)
I enjoy building AI-powered applications and solving real-world business problems using Python, Data Analytics, Machine Learning, and AI.
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Completed an 11-month Data Science Internship focused on Computer Vision, SQL, and Machine Learning.
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Strong foundation in Python, SQL, Pandas, NumPy, and Scikit-learn.
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Built end-to-end AI applications using Flask, FastAPI, PostgreSQL, Docker, and Power BI.
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Developed production-ready projects including Smart City Issue Detection, RetailSense360, AI Trading Research Platform, and Portfolio Website.
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Familiar with AWS, Docker, REST APIs, Git, GitHub, and deployment workflows.
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Currently seeking opportunities as a Python Developer, Data Analyst, Data Scientist, or AI/ML Engineer.
- Python Developer
- Data Analyst
- Data Analytics
- Data Scientist
- AI/ML Engineer
YOLOv8 • Flask • SQLite • Computer Vision
AI-powered system for detecting potholes and garbage with severity analysis and visualization.
Python • FastAPI • PostgreSQL • XGBoost • Docker
End-to-end fraud detection platform with ML models, risk scoring, and analytics dashboard.
FastAPI • LightGBM • FinBERT • WebSockets
Quantitative trading research platform featuring backtesting, sentiment analysis, and AI-driven market insights.
Flask • MySQL • AWS EC2 • RDS • S3
Cloud-hosted learning management platform with secure authentication and course management.