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Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Quickdraw

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  • Pro

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@ApolloEducation

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Johaan-Mannanal/README.md

Hi, I'm Johaan

I'm an incoming Data Science student at Purdue University, graduating in May 2029 and entering with sophomore standing through accepted transfer credit.

I’m interested in building practical systems at the intersection of:

  • Machine learning and data science
  • Software and product development
  • Education technology
  • Entrepreneurship
  • Motorsports and real-world analytics

What I'm Working On

Midnight

I’m currently building Midnight, an education technology platform focused on AI-assisted academic tools for students.

  • Product development, user feedback, and launch strategy
  • AI infrastructure and operating-cost optimization

Alongside Midnight, I'm preparing for technical project teams, research, and internships at Purdue.

Technologies

Languages: Python, TypeScript, JavaScript, SQL, Java
Data & ML: pandas, NumPy, scikit-learn, Plotly, Matplotlib
Web & Product: Next.js, React, Node.js, Astro, Streamlit
Infrastructure & Tools: Git, Docker, Vercel, Supabase, pytest, Linux

Selected Projects

  • Motorsport Telemetry Analytics: Interactive Formula 1 telemetry dashboard comparing two drivers' laps (speed, delta time, sectors, tyres) with a transparent tyre-degradation model. Python analysis, TypeScript front end, live on Vercel.
  • Wearable Health Telemetry ML: Exploratory comparison of an SVM ensemble, gradient boosting, and a neural network on synthetic wearable cardiovascular data, with a reproducible pipeline, unit tests, and a model card.
  • Midnight Product Case Study: Product and technical case study for an AI-powered student platform, with sanitized architecture and honest metrics (production code kept private).

Connect With Me

Pinned Loading

  1. midnight-product-case-study midnight-product-case-study Public

    Public product case study for Midnight, an AI-powered student success platform. Source private.

    1

  2. wearable-health-ml-case-study wearable-health-ml-case-study Public

    Exploratory ML research comparing models on synthetic wearable cardiovascular data. Reproducible pipeline, model card, tests. Not a medical device.

    Python 1

  3. motorsport-telemetry-analytics motorsport-telemetry-analytics Public

    Interactive F1 telemetry dashboard: compare two drivers' laps (speed, delta, sectors, tyres) with a transparent tyre-degradation model. Python, FastF1, Streamlit.

    Python 1