Summary
Work History
Education
Skills
Final Year Project
Timeline
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Lim Chee Loke

Lim Chee Loke

Kuala Lumpur

Summary

Computer Science (Data Analytics) graduate with hands-on experience in machine learning, data preprocessing, and visualization. Skilled in Python, SQL and C++, with strong foundations in Java and software development. Passionate about transforming data into intelligent, actionable solutions across analytics and software domains. Actively looking for roles including data analyst, data engineer, data scientist, software developer, software engineer or related job.

Work History

Data Engineer Intern

Academy of Artificial Intelligence
07.2024 - 11.2024
  • Collaborated in a startup environment to create proofs of concept (POC) for AI-driven tools.
  • Designed basic RESTful APIs using Flask for CRUD operations and structured data retrieval from JSON.
  • Gained hands-on experience with MongoDB (NoSQL) for unstructured data storage and management.
  • Developed ETL scripts for automating data retrieval from OpenAI and Google Sheets.
  • Built lightweight UIs with HTML/CSS/JavaScript and basic React (useState/props) to interact with APIs and display task data.
  • Collaborated on database design and management with team members.
  • Assisted in daily operational tasks, enhancing team efficiency and workflow.

Education

Bachelor of Computer Science (Hons) - Data Analytics

Asia Pacific University of Technology And Innovation (APU)
Kuala Lumpur, Malaysia
09.2025

Foundation in Computing -

Asia Pacific University of Technology And Innovation (APU)
Kuala Lumpur, Malaysia
07.2022

Skills

  • Python, Java, C, R, SQL, JavaScript
  • Power BI, Streamlit, Matplotlib, Seaborn, Excel
  • Scikit-learn, XGBoost, LightGBM, CatBoost, RF, GradBoost
  • Critical Thinking, Problem Solving, Teamwork, Adaptability
  • Fast learner
  • Attention to detail
  • Goal-oriented mindset

Final Year Project

Forecasting Global Terrorism and Potential Attack Risks to Enhance Public Safety through Machine Learning


Grade: 4.0 GPA

Tools Used: Python (Pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost), Streamlit, GeoPandas, Folium, Matplotlib, Seaborn, Plotly


  • Developed a machine learning framework to forecast the likelihood of future terrorist activities using the Global Terrorism Database (GTD).
  • Conducted comprehensive data preprocessing to enhance data quality and model reliability.
  • Trained and evaluated multiple models including Random Forest, Gradient Boosting, XGBoost, LightGBM and CatBoost, achieving up to 96% accuracy.
  • Developed an interactive Streamlit website with geospatial visualizations (choropleth, heatmap, and red-dot map) for trend analysis and future attack prediction.

Timeline

Data Engineer Intern

Academy of Artificial Intelligence
07.2024 - 11.2024

Bachelor of Computer Science (Hons) - Data Analytics

Asia Pacific University of Technology And Innovation (APU)

Foundation in Computing -

Asia Pacific University of Technology And Innovation (APU)

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Lim Chee Loke