name: Navneeth Dhamotharan
username: Navneethd8
location: Seattle, WA
status: student
graduation: June 2027
aspiring_roles:
  - Data Scientist
  - Data Engineer
  - Software Engineer

education:
  university: University of Washington – Seattle
  degrees:
    - B.S. Informatics (Data Science)
    - B.A. Economics
  gpa: 3.6 / 4.0
  coursework:
    - Data Structures & Algorithms
    - Data Science Fundamentals (R)
    - Exploratory & Statistical Data Analysis
    - Object-Oriented Programming (Java)
    - Intermediate Data Programming (Python)
    - Databases

skills:
  languages:
    - Python
    - Java
    - JavaScript
    - SQL (Postgres)
    - R
    - HTML/CSS
  frameworks:
    - React
    - Node.js
    - Svelte
  ml_libraries:
    - Pandas
    - NumPy
    - Scikit-learn
    - TensorFlow
    - XGBoost
    - LightGBM
    - Keras
    - Matplotlib
    - Seaborn
    - GeoPandas
  tools:
    - Git
    - Docker
    - Bash
    - Firebase
    - GCP
    - AWS (Lambda, S3, EC2, Amplify, Step Functions)
    - Azure DevOps
    - Jupyter Notebook
    - VS Code
    - IntelliJ
    - PyCharm
    - RStudio

experience:
  - role: Data Science Intern
    company: FlyDubai
    location: Dubai, UAE
    duration: Jun 2025 – Sep 2025
    impact:
      - Built flight delay prediction models on 600k+ rows with 90+ features (R² ≈ 0.80)
      - Evaluated 5 ML models using chained pipelines (15% faster evaluation)
      - Improved operational efficiency by 3% using linear programming (PuLP)
      - Increased sentiment analysis accuracy by 30% via prompt engineering on Amazon Bedrock

  - role: Software Engineer
    organization: Software Engineering Career Club (SWECC)
    duration: Apr 2025 – Present
    impact:
      - Led SWECC Labs, mentoring 35+ students in open-source development
      - Improved job search workflows across 38+ repositories for 2000+ engineers

  - role: Director
    organization: Eat Together
    duration: Dec 2024 – Present
    impact:
      - Led a team of 18 to ship features for 550+ users
      - Built recommendation systems and community tooling
      - Reduced code review time by 20% through structured feedback
      - Mentored 20+ developers in React Native, Git, and GCP

  - role: Software Engineer
    organization: Eat Together
    duration: Jan 2024 – Dec 2024
    impact:
      - Developed media gallery features using React Native
      - Integrated Firebase storage for scalable image handling
      - Scaled app to 400+ users through performance optimization
      - Resolved 35+ UI bugs and 8+ critical issues

projects:
  - name: DataMed
    stack: [Python, Scikit-learn, Optuna, Matplotlib, Seaborn]
    highlights:
      - Modeled healthcare costs on 1.2M records with 99% data retention
      - Feature engineered categorical variables for ML readiness
      - Tuned models with Optuna to improve prediction accuracy
      - 3rd place – Best ML Model (6th DubsTech Datathon)
    repo: https://github.com/AdamSkog/Datathon-DataMed

  - name: Macro Scope
    stack: [Scikit-learn, Pandas, XGBoost, GeoPandas]
    highlights:
      - Processed 400k+ IMF records for macroeconomic analysis
      - Visualized trends across fiscal and inflation indicators
      - Reduced RMSE by 20% using grid search and cross-validation
    repo: https://github.com/Navneethd8/macro-indicators

  - name: NCAA Basketball Analysis
    stack: [R, ggplot2, dplyr]
    highlights:
      - Analyzed 20 years of NCAA basketball data (300k+ rows)
      - Found 25% correlation between free throws and tournament wins
    repo: https://github.com/Navneethd8/march-madness-analysis

interests:
  - machine learning
  - data-driven systems
  - developer tooling
  - open source
  - mentoring

contact:
  email: navneethd8@gmail.com
  github: https://github.com/Navneethd8
  linkedin: https://linkedin.com/in/navneethd
  website: https://navneeth.vercel.app

mood: caffeinated ☕
editor: VS Code