Education
-
B.Eng. in Data Science
Institute of Technology of Cambodia
2021 - 2026
Skills
- Database & Data Engineering PostgreSQL, MySQL, Advanced SQL (CTEs, Window Functions, Stored Procedures), Robust Relational Database Management
- Data Pipelines & Quality ETL Workflows, Data Pipeline Ingestion, Quality Assessment, Data Validation Protocols, Core EDA Processes
- Applied AI & Machine Learning Natural Language Processing (NLP), Unstructured Text Processing, 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, data.table, ggplot2
Other Skills
- Simple & Complex Problem Solving, Detailed Technical Documentation, Strong Attention to Detail, Interdisciplinary 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
Deputy Head of Department of Applied Mathematics and Statistics, ITC
📞 012 939 310
📧 phauk.sokkhey@itc.edu.kh
PHORN SREYPOV
Data Scientist & AI Engineer
Data Science professional with proven experience architecting reproducible data pipelines, optimizing relational databases, and deploying applied AI workflows. Highly skilled in text validation, natural language processing, and automating manual processes using clean Python and SQL code. Possesses a strong learning mindset and experimental attitude, focused on translating complex datasets into scalable digital tools and clear, accessible visualizations for stakeholders.
Experience
Electricité du Cambodge (EDC) — EDC-AFD-EU Project
Data Scientist Intern | May 2025 – Present
- 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.
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 3 interactive Power BI dashboards mapping critical data points, utilized directly by organizational stakeholders for operational decision-making.
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 (Mar 2025 – 2026).