
papyrik
Offline desktop PDF toolkit — merge, split, convert, compress, watermark, encrypt, annotate and fill forms, 100% local. Built in Python with PyQt6 & PyMuPDF; ships as a standalone Windows app.
view projectI explore data the way I explore a new system — with curiosity, patience, and the right tools. Rooted in analytics, reaching for AI, built with code. Currently studying Applied A.I. at George Brown College, Toronto.

Machine learning, analytics, and AI — all open source on GitHub.

Offline desktop PDF toolkit — merge, split, convert, compress, watermark, encrypt, annotate and fill forms, 100% local. Built in Python with PyQt6 & PyMuPDF; ships as a standalone Windows app.
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Computer-vision system that detects and classifies vegetables and fruits in images using deep learning.
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Analysis of millions of NYC taxi trips with Tableau & Power BI, surfacing travel patterns and route optimizations.
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NLP tool that summarizes news articles and runs sentiment analysis to flag whether coverage is positive or negative.
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Recommendation engine that suggests movies based on the ones you love, using similarity-based ML techniques.
view projectFour years across data analytics, full-stack development, and data operations.
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IBM · 2025
verify --credentialGitHub · 2025
verify --credentialIBM · 2024
verify --credentialUniversity of Colorado · 2025
verify --credentialAsian School of Management & Technology · 2020
Every tool I reach for, grouped by what it does.
Knowledge compounds — these are my roots.
George Brown College — Toronto, ON · CGPA 3.76
Sept 2025 – Aug 2026
George Brown College — Toronto, ON · CGPA 3.74
Sept 2024 – Aug 2025
Tribhuvan University — Kathmandu, Nepal · CGPA 3.48
2018 – 2022
What's on my desk right now — leveling up toward the cloud.
SAA-C03 · self-paced
2025 – Present
Hands-on cloud experiments and giving back to the community.
I'm open to data analyst, data engineering, and AI roles — and always happy to chat about interesting projects. Drop a line and I'll reply fast.