Open to internships & new-grad roles, 2027

Muhammad Hasham Hussain

Data Science & Machine Learning

M.S. student building projects across machine learning, statistical analysis, and data visualization.

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About

Hi, I'm Hasham, welcome to my portfolio. I'm currently pursuing an M.S. in Data Science & Analytics, working on projects across machine learning, statistical analysis, and data visualization. I'm looking for internships (fall, spring, and summer) as well as full-time / new-grad roles starting in 2027, feel free to reach out.

Projects

shadenav — Shade-Aware Pedestrian Routing

shadenav map showing a shortest route and a shadier alternate route between two campus points, with a sun-exposure comparison panel

A routing tool that models where building shadows fall at any date and time, scores every street segment by sun exposure, and finds walking routes that trade a little extra distance for a lot less time in direct sun. Built on an end-to-end geospatial pipeline over the Chico State campus: OpenStreetMap street networks and building footprints, sun-position modeling, shadow-casting geometry, and shade-weighted shortest-path routing. Validated across 200 routes — a mild shade preference cuts sun exposure by roughly 20% for about 2% extra distance.

  • Python
  • pvlib
  • NetworkX
  • OpenStreetMap
  • Geospatial

Keyword vs. Meaning Search

A full-stack search engine comparing BM25 (keyword-based ranking) against neural embeddings (semantic ranking) over 500+ real Spotify tracks. Includes live Spotify search integrated as a retrieve-then-rerank layer, with automatic fallback to a precomputed local corpus if the live call fails or times out.

  • Python
  • FastAPI
  • onnxruntime
  • rank_bm25
  • Spotify Web API
  • JavaScript

Does Song Energy Predict Popularity?

Analyzed 25,736 Spotify tracks across six genres to test whether a song's energy predicts its popularity. Used Pearson correlation and linear regression with an energy × genre interaction term. Found a statistically significant but very weak negative relationship — energy explains under 1% of the variance in popularity, and it does not meaningfully change across genres.

  • R
  • tidyverse
  • ggplot2
  • Linear Regression
  • Tableau

Skills

Languages

  • Python
  • SQL
  • R

ML / Data Science

  • scikit-learn
  • PyTorch
  • pandas

Visualization

  • Matplotlib
  • Tableau
  • Plotly

Contact

Open to data science and ML roles. Feel free to reach out.