CV

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Education

• B.Eng. in Data Science – Institute of Technology of Cambodia, 2022 – Present (Expected July 2026)
  • Department of Applied Mathematics and Statistics
  • Relevant Coursework: Exploratory Data Analysis, Machine Learning, Deep Learning, Time Series Analysis, Data Visualization, Natural Language Processing, Database Design, Business Intelligence

Certifications

• Data Analysis with Python – Cognitive Class / IBM (DA0101EN)

  August 2024

• SQL and Relational Databases 101 – Cognitive Class / IBM

  2024

Work Experience

• **Data Scientist ** · Electricité du Cambodge (EDC) · EDC-AFD-EU Project
  • March 2026 – Present
  • Engineered a multi-stage hybrid feature selection framework combining Pearson correlation, Mutual Information, Permutation Importance, and SHAP across 3 model families, reducing input dimensionality from 158 to 18 features without sacrificing predictive accuracy
  • Built and validated a meta-stacking ensemble (RF, XGB, SVR, MLP base models + Linear Regression meta-learner) using rolling-year temporal cross-validation across 4 folds, achieving a final forecast MAPE on the held-out test set
  • Deployed a full-stack forecasting platform (FastAPI + React + PostgreSQL + Docker) on internal infrastructure, enabling non-technical operators to generate, visualise, and export multi-model ensemble forecasts through a role-based dashboard
• Data Analyst Intern · General Secretariat of National Council for Minimum Wage
  • Aug – Oct 2025 · Ministry of Labour and Vocational Training
  • Designed and automated ETL pipelines in Python and SQL, eliminating manual XML-to-Excel extraction and cleaning processes, reducing data preparation time by ~70%
  • Transformed semi-structured data into structured datasets stored in a centralized data warehouse, supporting daily and monthly reporting cycles
  • Conducted in-depth analysis on large-scale economic datasets to uncover key trends and insights for policy research
  • Built 3 interactive Power BI dashboards adopted by the research team for ongoing stakeholder reporting and decision support

Technical Skills

• Programming Languages: Python, R, SQL
• Data Science & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Power BI, Excel
• Machine Learning Frameworks: Scikit-learn, PyTorch, TensorFlow

Projects

• Data Analysis & Correspondence Analysis Project (2024)
  • Performed statistical analysis using χ²-test and Correspondence Analysis on categorical datasets
  • Uncovered and visualized relationships in complex data using Python (Pandas, NumPy, SciPy, Matplotlib)
  • Technologies: Python, Statistical Analysis, Data Visualization
• Fraud Detection in Financial Transactions (2024)
  • Applied Logistic Regression, Decision Trees, and Random Forest algorithms for fraud detection
  • Addressed class imbalance using SMOTE and other resampling techniques
  • Built production-ready fraud detection pipeline
  • Mentor: Dr. Phauk Sokkhey, Deputy Head of Department of Applied Mathematics and Statistics
• Data Science Camp Projects (Jan-Feb 2024)
  • Completed standard-level Data Science training by UNESCO UNITWIN Program at Handong Global University
  • Gained hands-on experience with real-world datasets and industry-standard practices

Languages

• Khmer: Native speaker
• English: Intermediate

Soft Skills: Project Management · Problem Solving · Communication · Teamwork · Critical Thinking · Time Management · Adaptability · Data-Driven Decision Making · Presentation

Volunteering & Community Service

• Digital Literacy Program Trainer (Mar 2025 – Present)
  • Ministry of Education
  • Trained 300+ students from 4 high schools on digital tools, online safety, and data security
• Mathematics Tutor (2022 – 2023)
  • Institute of Technology of Cambodia
  • Taught junior students in Foundation Year program

Awards & Recognition

• 2nd Prize – Youth Forum on Environment 2023 (Ministry of Environment)
  • Conducted and presented original environmental research
  • Recognized for excellence in environmental analysis and presentation

References

• Dr. Phauk Sokkhey
  • Deputy Head of Department of Applied Mathematics and Statistics, ITC
  • Phone: 012 939 310
  • Email: phauk.sokkhey@itc.edu.kh