Areeba Rao

About

Machine learning and MLOps-focused student with experience building and deploying end-to-end ML systems, including NLP inference pipelines and demand forecasting solutions. Strong technical foundation in Python, AWS, Docker, CI/CD, and model lifecycle tooling.

Education

• BTech in Electrical Engineering (Honours in Cybersecurity)
  Jamia Millia Islamia
  Electrical Engineering · 2027

Skills

• SQL
• Python
• Forecasting
• Statistical Modeling
• Classification
• Feature Engineering
• Matplotlib
• NumPy
• Pandas
• Streamlit
• scikit-learn
• Flask
• Plotly
• XGBoost
• Regression
• Folium
• Dask

Projects

• Uber Demand Prediction — NYC Taxi Forecasting
  LightGBM, DVC, MLflow, Optuna, Docker, GitHub Actions, AWS, Streamlit

  Forecasted taxi demand across 30 NYC regions at 15-minute granularity and built an MLOps pipeline with CI/CD and AWS deployment.

• YouTube Comment Analyzer — Chrome Extension
  Flask, Docker, AWS, MLflow, DVC, LightGBM

  Built an end-to-end NLP inference API and deployed a containerized comment analysis system with experiment tracking and model lifecycle management.

• Real Estate Price Predictor
  Streamlit, Random Forest, AWS

  Developed a deployed ML regression system for Gurgaon real estate price prediction, recommendations, and interactive mapping.

• Question Pair Similarity
  Streamlit, NLP, fuzzy matching

  Created a semantic matching system for duplicate question detection with iterative feature engineering.

⚽ Extracurricular activities

• Google Developer Groups – Graphic Designer

  Designed promotional assets for technical workshops and coding events.