Siddhant Sharma
Hi, I'm Siddhant
I build end-to-end data pipelines and analytical systems using Python and SQL, with a focus on data modeling and orchestration.
I particularly enjoy working on analytics pipelines and tools around things I feel drawn to, viz. cricket, music, and memories, mainly.
Featured Projects
Cricket Warehouse
End-to-end ELT data pipeline for ball-by-ball cricket match data using Python, PostgreSQL, dbt, and Airflow.
- Incremental ingestion & loading
- Layered warehouse modeling
- Fully orchestrated transformations via Airflow (Astronomer Cosmos)
memory.fm
A web application for exploring music listening history from Last.fm and Spotify.
Instead of focusing only on aggregate stats, it surfaces long-term and local patterns such as attachment, repetition, and obsessive listening, to help you revisit periods of your life through music.
Recent Tracks
∙ Now and Then - The Beatles
∙ Now and Then - The Beatles
∙ Twin Fantasy (Those Boys) - Car Seat Headrest
Explorations
Projects built while learning and exploring ideas around data, memory, and interfaces:
- memory.text: Reimagine your chat history into a book-like reading experience (Qt/Pyside).
- Women’s Cricket WC: Predict match outcomes using features engineered from historical match data.
- memory.journal: Offline journaling application with password protection and Markdown support.
Tools & Systems
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Data & Backend: Python • SQL • PostgreSQL • dbt • Airflow • FastAPI • Flask
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Analytics & ML: Pandas • NumPy • Scikit-learn
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Interfaces & Applications: React • PySide6
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Infrastructure & Deployment: Docker • Supabase • Render • Vercel
Interests
- Data engineering & pipeline design
- Analytical modeling & data products
- Sports analytics (especially cricket)
- Personal data systems (music, memory, journaling)
Connect with me
Support me
If something I build strikes a chord with you, please consider supporting me. Thank you!
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Personal projects
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