Phorn Sreypov

Contact

📞 +855 882 709 166
📧 phornsreypov311@gmail.com
🌐 portfolio:povsundra.github.io
📍 Phnom Penh, Cambodia

Education

  • B.Eng. in Data Science Institute of Technology of Cambodia
    2021 - 2026

Skills

  • Database & Data Engineering PostgreSQL, MySQL, Advanced SQL (CTEs, Window Functions), Robust Relational Database Management
  • Data Pipelines & Quality ETL Workflows, Data Pipeline Ingestion, Quality Assessment, Data Validation Protocols, Core EDA Processes
  • Machine Learning NLP, Predictive Modeling, Time Series Analysis, Feature Engineering
  • Languages & Tools Python, R, Git, FastAPI, Docker, Power BI (DAX, Data Modeling), Excel
  • Libraries Pandas, NumPy, Matplotlib, Scikit-learn, PyTorch, beautifulsoup4, scrapy, data.table, ggplot2

Other Skills

  • Simple & Complex Problem Solving, Documentation, Strong Attention to Detail,Collaboration

Language

Khmer: Native
English: Intermediate

Reference

Dr. Phauk Sokkhey
Deputy Head of Department of Applied Mathematics and Statistics, ITC
📞 012 939 310
📧 phauk.sokkhey@itc.edu.kh

PHORN SREYPOV

Data Science graduate with hands-on experience in business analytics, data visualization, ETL processes, and dashboard development through internships and academic projects. Skilled in Python, SQL, Power BI, PostgreSQL, and Excel for analyzing sales and operational data, creating reports, and delivering insights that support business decision-making. Eager to apply analytical and problem-solving skills to help improve business performance.

Experience

Electricité du Cambodge (EDC) — EDC-AFD-EU Project
Data Scientist Intern | Feb 2026 – July 2026
  • Managed and structured robust PostgreSQL databases for a full-stack predictive forecasting platform, ensuring strict data consistency and query execution efficiency.
  • Conducted deep time-series EDA and engineered an optimal feature selection framework, systematically reducing pipeline data dimensionality from 151 down to 18 key features.
  • Developed and validated an advanced meta-stacking ensemble model using rigorous temporal cross-validation to guarantee high-accuracy grid forecasting.
Technologies: Python • PostgreSQL • FastAPI • Scikit-learn • Git • Pandas • Matplotlib
Ministry of Labour and Vocational Training (NCMW)
Data Analyst Intern | Aug 2025 – Oct 2025
  • Built automated, reproducible Python and SQL ETL pipelines to handle multi-source ingestion, completely eliminating manual workflows and decreasing dataset preparation time by ~70%.
  • Implemented strict programmatic data validation protocols and root-cause analyses to locate errors and permanently eliminate structural dataset inconsistencies.
  • Designed an interactive Power BI dashboards mapping critical data points, utilized directly by organizational stakeholders for operational decision-making.
Technologies: Python • SQL • Power BI • Matplotlib • PostgreSQL • SharePoint • Excel

Applied Portfolios & Projects

Applied NLP Classification Engine (Email Spam Verification)
  • Architected an end-to-end processing pipeline engineered to ingest, clean, and validate unstructured text datasets.
  • Implemented tokenization and machine learning classifiers to handle text vectorization, successfully achieving a verified 98.5% predictive validation accuracy.
Anomalous Activity Discovery & Fraud Detection
  • Analyzed massive, highly imbalanced transactional banking datasets to identify hidden anomalies, system risks, and inconsistent transaction footprints.
  • Applied modern resampling frameworks (SMOTE) alongside Scikit-learn algorithms (Logistic Regression, Random Forest) to structure dependable risk models.

Volunteering

  • Volunteer Trainer (Digital Literacy Program): Ministry of Education. Instructed 300+ students across 4 national high schools on core digital tool usage, online safety protocols, and operational data security practices (2025 – 2026).