About Manas Acharya
Data science, applied from problem to production.
I'm a Junior Data Science student at the University of Colorado Boulder, graduating May 2027. My work spans machine learning, statistical modeling, and full-stack AI development — building applications end-to-end from problem definition through production deployment.
Four production AI applications are currently live: WhaleWatch (real-time SEC filing intelligence), Zenith (Claude + Pinecone RAG motivational platform), JobFlow (an 8-step Claude pipeline for ATS-optimized resumes), and Hilton Invoice Code Finder (browser-side TF-IDF classification). Academic projects cover time-series forecasting (Gradient Boosting on retail POS data, 24% MAE reduction vs ARIMA), ensemble classification methods, and multi-modal generative pipelines combining DALL-E with Meta's Segment Anything Model.
Coursework includes Time Series Analysis (APPM-STAT 4720/5720), Machine Learning, Deep Learning, and Statistical Modeling. I hold an IBM SkillsBuild Enterprise Design Thinking Practitioner certification (December 2025) and am currently pursuing an additional data science certification while advancing my SQL skills. Languages: Nepali, Hindi, and English.
Tech Stack
Languages
- PythonProficient
- RProficient
- SQLIntermediate
- ExcelProficient
Frameworks
- Next.js
- Flask
- FastAPI
- React
Data Tools
- TableauIntermediate
- Power BIIntermediate
ML / AI
- Scikit-learn
- Claude API
- Pinecone
Databases
- PostgreSQL
- SQLite