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bernardinolintang/README.md

Hello! I'm Bernardino Lintang! 👋

🎓 Year 3 Data Science & Analytics Student @ National University of Singapore (NUS)
💼 Actively seeking 2026 Internship Opportunities
📊 Passionate about uncovering insights through data science, machine learning, and analytics

visitors

Welcome! 👋

🧑‍💻 About Me

  • 🌱 Pursuing a B.Sc. (Hons) in Data Science & Analytics
  • 💡 Strong interests in AI/ML, FinTech, and Product Development
  • 🚀 Experienced in data science, operations, and leadership through internships and student organisations
  • 🏆 Finalist at NUS SDS Datathon 2024 (Top 5/75 teams)
  • 🏆 Finalist at NUS SDS Hackathon 2025 (Top 3/40 teams)
  • ✨ Believer in teamwork, adaptability, and continuous learning

🛠️ Tech Stack

⚙️ Core Languages & Frameworks

Python R Java TypeScript JavaScript HTML5 CSS3 Markdown

📊 Data Analysis & Visualisation

NumPy Pandas Matplotlib Plotly Jupyter R Tableau Power BI

🤖 AI & Machine Learning

TensorFlow scikit-learn Keras Claude OpenAI

🌐 Web Development & APIs

React npm Flask Selenium

💾 Data Storage & Management

Supabase PostgreSQL SQLite BigQuery

🗂️ Miscellaneous

Figma Canva

💼 Experience

  • Artificial Intelligence Entrepreneur Intern @ Crayon Data (Dec 2025 - Jan 2026)
    → Built LLM-powered data extraction and agentic workflows to transform unstructured merchant offers into schema-compliant datasets, reducing manual processing and improving data quality at scale.
  • Operations (Data Science) Intern @ Superbank (May – Aug 2025)
    → Engineered 200+ fraud detection features in Python/SQL, optimised queries on 50M+ records (~40% faster), built real-time monitoring pipelines in Snowflake.
  • Head of Branding & Marketing @ Developer Group, NUS Computing (Jul 2025 – Present)
    → Leading branding initiatives and managing associates for impactful events.
  • Curriculum Executive @ NUS Product Club (Jul 2025 – Present)
    → Organised flagship Product Management Executive (PME) programme with industry PMs.
  • Marketing Head @ NUS Science Club (2024–25)
    → Secured sponsorships, co-led 7 executives, and streamlined sponsor email processes (50% faster).

📊 Projects

  • NUS Datathon (Finalist, Top 5/75) – Hybrid recommender system for financial advisor matching; achieved 98.59% Precision@5.
  • DNA-Binding Protein Classifier – Built ML models (LogReg, RF, CNN) with class-weighted loss functions.
  • Taylor Swift Album Reception Analysis – Visualised acoustic/valence factors influencing ratings using R.
  • Diabetes Prediction Models – Compared ML classifiers on 100k responses; evaluated via AUC & ROC.

🏆 Achievements

  • 🏅 NUS Datathon 2024 Finalist (Top 5/75 teams)
  • 📚 Principal’s Honours Roll (2019 & 2020)
  • 🎓 Top cohort results for O-Level Mathematics & Science
  • ⭐ Outstanding academic performance in JC1 & JC2

📧 Contacts / Profiles

Reach out to me via the platforms below! My resume is available on request.

LinkedIn
Email

Bernardino's github activity graph

📈 GitHub Stats

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  1. BernardinoLintangWebsite BernardinoLintangWebsite Public

    Personal portfolio website showcasing my projects, skills, and achievements as a Data Science & Analytics student at NUS. Built with React, Vite, and TailwindCSS, and deployed on Vercel.

    TypeScript

  2. Colour-Classification-Computer-Vision Colour-Classification-Computer-Vision Public

    A computer vision project for colour classification using Python and OpenCV.

    Python

  3. IT1244-Project-DNA-Binding-Protein IT1244-Project-DNA-Binding-Protein Public

    This project explores the use of machine learning techniques to classify DNA-binding proteins (DBPs) from non-DNA-binding proteins. Accurate DBP identification is critical for understanding biologi…

    Python

  4. Quiz-Bank Quiz-Bank Public

    Team-maintained DSA3101 Quiz Bank designed for collaborative revision. Includes categorized questions, difficulty levels, and reusable templates to support students preparing for Data Science in Pr…

    Python

  5. SDS-Hackathon-Insurance-Costs SDS-Hackathon-Insurance-Costs Public

    NUS SDS Mini-Datathon 2025 - Top 3. End-to-end ML project for predicting medical insurance costs using linear (Ridge, Lasso, Elastic Net) and tree-based (Random Forest, XGBoost) models. Includes AI…

    Jupyter Notebook

  6. DSA2101-Taylor-Swift-Music-Analysis DSA2101-Taylor-Swift-Music-Analysis Public

    Data Science analysis of Taylor Swift’s discography using Spotify audio features, Metacritic scores, and user ratings. Explores how acousticness, valence, collaborations, and other song characteris…