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Data Science · Machine Learning · Full-Stack

Manas Raman Acharya

Data Science Student Building AI-Powered Solutions

Transforming complex data into actionable insights through machine learning, statistical modeling, and full-stack development.

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Selected Work

Featured Projects

A mix of production systems, machine-learning research, and full-stack tools — built across coursework, internships, and side projects.

WhaleWatch

Early detection system for stocks about to move

Real-time SEC filing tracker analyzing 13D/13G, Form 4, and 8-K filings to detect pre-move stock signals before public awareness.

Tracks filings from 500+ institutions

v2 backtest engine in progress

PythonFlaskPostgreSQLSEC EDGAR APIRailway
Open

Zenith

AI-powered platform for consistent personal growth

Motivational platform combining ancient wisdom with modern AI, featuring daily personalized coaching and progress tracking.

Personalized coaching from curated wisdom database

Next.jsFastAPIPostgreSQLClaude APIPinecone
Open

JobFlow

AI-powered resume tailoring for every application

Intelligent job application tool with 8-step AI pipeline that generates ATS-optimized resumes and personalized cover letters from any job posting URL.

8-step pipeline with keyword matching, relevance scoring, and ATS optimization

React 19ViteClaude Haiku 4.5VercelServerless Functions
Open

Hilton Invoice Code Finder

Intelligent invoice classification system

Pro bono NLP solution using TF-IDF and reinforcement learning to automate invoice code assignment for corporate operations.

PythonTF-IDFSQLiteScikit-learn
Open

Time-Series Retail Sales Forecasting

Global-pool ensemble for daily retail sales

End-to-end forecasting pipeline (validation → EDA → features → baselines → ML → ensemble → report) on a year of daily retail sales for a small business client. Implements the global-pool approach from Montero-Manso & Hyndman (2021).

24% RMSE improvement over seasonal-naive baseline

PythonScikit-learnPandasARIMA+1
Open

La Liga Ranking

Team ranking from match-result averaging

Ranked all 20 teams of the 2021-22 La Liga season from 760 match records. Encoded wins/draws/losses, pivoted into a team-vs-team matrix, and computed per-opponent average performance. Team project.

Top 4 within 1 position of actual final standings

PythonpandasNumPy
Open

Bike-Sharing Usage Patterns

Classification model for weekday demand

Weekday demand classification on Seoul's hourly bike-share data, comparing Logistic Regression, Bagging (Random Forest), and SVM. Bagging won.

4.87% misclassification rate (Bagging)

RcaretrandomForeste1071
Open

Heart Disease Prediction

Clinical prediction model

Cardiovascular risk assessment on the UCI Heart Disease dataset. Team project with Jenisha Shrestha; compared multiple classifiers, with Logistic Regression emerging as the most promising.

0.152 misclassification rate (Logistic Regression)

RcaretrandomForestleaps
Open
About

Combining technical depth with customer-facing experience.

I'm a Data Science student at the University of Colorado Boulder (graduating May 2027), currently working as a Data Science Intern at PCH Tech Solutions on the Gadi AI ride service platform. With nearly five years of experience as a Service Writer at Walmart Auto Care Center, I bring a unique perspective combining technical expertise with customer-facing problem solving.

My work focuses on machine learning, statistical modeling, and full-stack development. I'm currently advancing my SQL skills and pursuing an additional data science certification to complement my IBM SkillsBuild Enterprise Design Thinking Practitioner certification. Coursework includes Time Series Analysis, Machine Learning, Deep Learning, and Statistical Modeling.

As a fluent speaker of Nepali, Hindi, and English, I bring cultural awareness and diverse perspectives to my work. Beyond data science, I'm passionate about soccer, basketball, hockey, running, and reading. I previously served as Member Engagement & Event Co-coordinator for the Nepalese Student Association at CU Boulder, leading an event with 700+ attendees.

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
Contact

Let's Connect

Open to data science internship opportunities, research collaborations, and interesting problems.