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kenjeekoh/README.md

👋 Hey there! I'm Christiaan Kenjee Koh

📸 Associate Data Analyst @ Canon U.S.A. | 🎓 M.S. Business Analytics @ UC Irvine | 📊 Data & Product Enthusiast | 🔍 Turning insights into impact
LinkedIn GitHub Portfolio

💼 Who I Am

I’m a data-savvy product thinker passionate about using technology and storytelling to bridge the gap between complex analytics and strategic business decisions.

  • 🔎 Associate Data Analyst @ Canon U.S.A — building ETL pipelines, PowerBI dashboards, and handling Splunk Search and Reporting initiatives
  • ⏪ Previously Data @ Edwards Lifesciences & Metal Surfaces Intl. — building anomaly detection models, pricing systems, and contract profitability benchmarks
  • 🧠 Machine Learning Practitioner — specializing in K-Means, XGBoost, Random Forests, and Neural Networks
  • 📱 Product Leader — led UX + Engineering efforts at Develop for Good and contributed to feature roadmaps at Warner Bros Discovery and Club Feast
  • 💡 Builder — constantly ideating, designing, and shipping data-driven projects that live in real tools, dashboards, and apps

🛠️ Tech Stack

Languages
Python SQL Java JavaScript R HTML/CSS Swift

Tools & Platforms
PowerBI Tableau MS Excel AWS MS Azure GCP Splunk Jira Figma Notion SPSS TestFlight

Machine Learning & Analytics
Random Forest Logistic Regression K-Means XGBoost Neural Networks TF-IDF NLTK Pandas Scikit-learn Time Series Analysis

📌 Featured Projects

📋 ETL Pipelines @ Canon U.S.A

Building and automating end-to-end ETL pipelines, integrating AWS, Azure, Python, Scala, and Splunk into Power BI to support enterprise analytics and reporting.

🧬 Error Detection System @ Edwards Lifesciences

Built scalable anomaly detection models (XGBoost + Clustering) across 7 complex datasets to support quality assurance in the ePAC medical compliance platform.

💰 Profitability Benchmarking Tool @ Metal Surfaces Intl.

Analyzed $6M+ in contracts using ML models to identify trends in Aerospace, Defense, and Automotive — reducing losses by 5% and improving pricing strategies.

👟 DripFinder: AI Sneaker Recommender

Streamlit-based sneaker rec engine powered by NLP, user profiling, and TheSneakerDB API — transforming hype culture into personalized picks.

🎵 Post-Pandemic Music Trends Analysis

Visual and statistical deep dive into Spotify data to explore emotional shifts in music consumption during/after COVID-19.

🤝 Let’s Connect

I'm always open to collaborating on meaningful analytics or product projects — or just talking sneakers, music, or good UX.
Feel free to reach out or explore more about me below:

📫 Email: kenjeekoh@gmail.com
📎 Personal Website: kenjeekoh.notion.site

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  1. DripFinder DripFinder Public

    Personalized sneaker recommendation system built with Python, NLP, and Streamlit. Matches users with ideal sneakers based on brand, colorway, silhouette, and market value.

    Python 1 1

  2. Analyzing-Post-Pandemic-Music-Trends-on-Spotify-Apple-Music Analyzing-Post-Pandemic-Music-Trends-on-Spotify-Apple-Music Public

    This project explores whether listeners in the U.S. shifted from upbeat, high-energy music to more mellow genres after the COVID-19 pandemic. Leveraging Spotify and Apple Music APIs, our team analy…

    Python

  3. BANA-200-sun-country-airlines-clustering BANA-200-sun-country-airlines-clustering Public

    This project uses Python (Pandas, NumPy, Scikit-learn) and visualization tools (Matplotlib, Seaborn) to apply K-Means clustering on Sun Country Airlines' reservation data, uncovering customer segme…

    Jupyter Notebook

  4. Customer-Satisfaction-Analysis-in-the-Airline-Industry Customer-Satisfaction-Analysis-in-the-Airline-Industry Public

    This project aimed to analyze how different factors in a flight experience influence a passenger’s overall satisfaction and likelihood of recommending the airline.

    Jupyter Notebook

  5. Ecommerce-SQL-Churn-Prediction Ecommerce-SQL-Churn-Prediction Public

    End-to-end SQL and machine learning project analyzing e-commerce sales and predicting customer churn using transactional data.

    Python 1

  6. kenjeekoh kenjeekoh Public