Education
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B.Eng. in Data Science
Institute of Technology of Cambodia
2021 - 2026
Technical Skills
- Machine Learning & AI Predictive Modeling, Time Series Analysis, Machine Learning Algorithms, Feature Selection Frameworks, Natural Language Processing (NLP)
- Data Pipelines & ETL Automated ETL Pipelines, Data Pipeline Ingestion, Multi-source Data Cleaning, Quality Assessment, Data Validation Protocols
- Database & Engineering PostgreSQL, MySQL, Advanced SQL Query Optimization (CTEs, Window Functions, Stored Procedures), FastAPI backend
- Development & Tools Python, R, Git, Power BI (DAX, Data Modeling), Excel, Docker, PySpark
- Libraries Pandas, NumPy, Matplotlib, Scikit-learn, PyTorch, ggplot2
Other Skills
- Problem Solving, Detailed Technical Documentation, Cross-functional 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
AI Engineer
AI Engineer with hands-on experience building predictive models, NLP workflows, and automated data pipelines. Strong in Python, SQL, FastAPI, Docker, scikit-learn, and PyTorch, with a focus on turning raw data into deployable machine learning solutions. Experienced in forecasting, feature engineering, data validation, and backend integration for practical AI applications.
Professional Experience
Electricité du Cambodge (EDC) — EDC-AFD-EU Project
Data Scientist Intern | March 2025 – Present
- Built a meta-stacking ensemble model with temporal cross-validation and integrated it into a forecasting web platform for real application use.
- Conducted time-series exploratory data analysis and engineered a feature selection workflow, reducing data dimensionality from 151 to 18 key indicators.
- Managed PostgreSQL schemas and optimized backend queries for the forecasting platform, supporting stable data flow and efficient model inference.
Ministry of Labour and Vocational Training (NCMW)
Data Analyst Intern | Aug 2025 – Oct 2025
- Built automated Python and SQL ETL pipelines for multi-source ingestion, replacing manual workflows and reducing data preparation time by ~70%.
- Implemented data validation protocols and root-cause analysis to identify errors and eliminate dataset inconsistencies.
- Designed 3 interactive Power BI dashboards for operational monitoring and stakeholder use.
Technical Projects Portfolio
Applied NLP Text Classification Engine (Email Verification Project)
- Architected an end-to-end NLP pipeline to ingest, clean, and validate unstructured text datasets.
- Implemented tokenization and machine learning classifiers for text classification, achieving 98.5% verified accuracy.
Anomalous Activity Detection & Financial Risk Modeling
- Analyzed highly imbalanced transactional banking datasets to identify anomalies, system risks, and inconsistent transaction patterns.
- Applied SMOTE with Scikit-learn models such as Random Forest and Logistic Regression to build reliable risk detection 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).