PHORN SREYPOV

PHORN SREYPOV

Data Scientist | ML Engineer | Business Intelligence

Profile

Welcome to my portfolio! I’m Phorn Sreypov, a Data Science graduate from Institute of Technology of Cambodia (ITC), Department of Applied Mathematics and Statistics.

I have hands-on experience in data analytics, predictive modeling, business intelligence, and data engineering through internships and applied projects. At Electricité du Cambodge (EDC), under the EDC–AFD–EU project, I worked with Cambodia’s national electricity load data, conducting data preparation, exploratory analysis, feature engineering, and developing and evaluating machine learning and time-series forecasting models. I also gained experience in database management, analytical reporting, and developing data-driven solutions for electricity demand forecasting.

My experience also includes data analysis and business reporting, where I have worked with multi-source datasets, automated data workflows, developed interactive dashboards, and transformed complex data into clear insights for decision-making.

I’m interested in applying data science, analytics, and AI to real-world business and operational challenges. I am currently seeking opportunities where I can contribute my analytical and problem-solving skills while continuing to grow in data analytics, data science, and AI engineering.

I’m actively exploring the intersection of AI engineering and applied research, seeking opportunities to build impactful systems and contribute to advancing data science practices in production environments.

Education

Institute of Technology of Cambodia (ITC) B.Eng. in Data Science · 2021 – 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  Statistical Analysis   Accounting   Advanced Programming for Data Dcience   Probabilistics Graphical Model   AI Engineering

Research Interests

Statistical Analysis   Forecasting   Data Engineering & ETL   Data Analysis   Machine Learning   Business Intelligence   RAG & LLMs

Currently Exploring

  • LLM and Retrieval-Augmented Generation (RAG): Researching production-ready document query systems and knowledge integration techniques — bridging AI engineering and practical application development

  • Applied Deep Learning: Exploring advanced deep learning architectures and techniques to strengthen both the theoretical foundations and practical implementation capabilities in machine learning systems

  • EduGuide Cambodia: A research prototype exploring an agentic RAG-based decision support system for personalized higher education guidance in Cambodia. View project

    • Status: Research in progress

Domains I’ve Explored

Applying data science across diverse fields through coursework and projects:

Economics   E-Commerce   Energy   Banking & Finance

Recent Experience

Data Scientist · EDC–AFD–EDU Project · March – Present

  • Developing a web platform for educational data management and reporting
  • Building forecasting models for for electricity load prediction
  • Researching ensemble meta-learning techniques for prediction improvement

Data Analyst Intern · General Secretariat of National Council for Minimum Wage (MLVT)| Ministry of Labour and Vocational Training · Aug – Oct 2025

  • Built and executed ETL pipelines using Python and SQL
  • Created interactive Power BI dashboards for stakeholder reporting
  • Conducted exploratory data analysis to uncover business insights and support decision-making

Technical Skills

Programming Languages: Python, R, SQL

Data Engineering & Databases: ETL Processes, Data Pipelines, PostgreSQL, MySQL, Relational Databases

Data Science & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Power BI

Machine Learning: Scikit-learn, PyTorch, TensorFlow, Ensemble Methods, Meta-Learning, Supervised and Unsupervised Learning

AI & LLM : Retrieval-Augmented Generation (RAG), LangChain, Vector Databases

Languages

  • Khmer: Native speaker
  • English: Intermediate

Get in Touch

I’m always open to discussing data projects, research collaborations, or opportunities in the field. Feel free to reach out via email or connect with me on LinkedIn.