Building data-driven solutions with Python, SQL, Power BI, Machine Learning, and AI.

🎓 2026 Graduate | Data Science Intern (11 Months Completed)

I enjoy transforming raw data into actionable insights and building data-driven applications using Python, SQL, Power BI, Machine Learning, and AI.

• Completed an 11-month Data Science Internship working on Computer Vision, SQL, Data Analysis, and Machine Learning projects.

• Strong foundation in Python, SQL, PostgreSQL, Pandas, NumPy, Power BI, and Scikit-learn.

• Built end-to-end data and AI projects involving ETL pipelines, dashboards, APIs, and predictive analytics.

• Experienced with FastAPI, Flask, Docker, Git, GitHub, REST APIs, and AWS deployment workflows.

• Passionate about solving real-world business problems through analytics, automation, and AI.

• Currently seeking opportunities as a Data Analyst, Data Analysis, Data Scientist, Data Engineer, or AI/ML Engineer.

  • Data Analyst
  • Data Analysis
  • Data Scientist
  • Data Engineer
  • AI/ML Engineer

YOLOv8 • Flask • SQLite • Computer Vision

AI-powered Computer Vision system that detects potholes and garbage, generates severity analysis, and provides actionable insights through a web dashboard.

Python • FastAPI • PostgreSQL • XGBoost • Docker

Built an end-to-end fraud detection platform featuring ETL workflows, risk scoring, machine learning predictions, and business analytics.

FastAPI • LightGBM • FinBERT • WebSockets

Developed a quantitative trading research platform with market data analysis, backtesting, sentiment analysis, and AI-powered forecasting.

Flask • MySQL • AWS EC2 • RDS • S3

Designed and deployed a cloud-based learning platform with secure authentication, database integration, and scalable AWS infrastructure.