About Me
A brief introduction about me and my interest.
Who Am I?
Ly An CHHAY
Hi there, I’m Ly An, a Data Scientist with dual master’s degrees in Data Science and Statistical Modeling from Institut Polytechnique de Paris and Télécom SudParis (France). I’m passionate about creating AI-driven solutions that deliver real-world impact, with nearly two years of experience across technology, healthcare, and social protection sectors. My interests lie in machine learning, large language models, and computer vision — exploring how these technologies enable smarter decisions and innovative solutions. Naturally curious and analytical, I thrive on transforming complex challenges into actionable insights. I believe the most impactful AI blends technical mastery with human intuition to create meaningful, real-world outcomes.
Technical Expertise
Comprehensive skills across data science, machine learning, and software engineering
Programming
Programming languages & development fundamentals
Data Wrangling & Analysis
Data processing, exploration, and visualization
Machine Learning & AI
ML frameworks and modern AI tools
Database
Database systems and data infrastructure
Deployment & MLOps
Web applications and model deployment
Technologies & Expertise
Professional Experience
National Social Security Fund Cambodia (NSSF)
Data Scientist - Senior Technical Advisor• Full time
- •Engineered interactive dashboards that translated complex datasets into actionable insights, directly influencing strategic business decisions
- •Collaborated with cross-functional teams to implement data-driven solutions
- •Provided technical guidance to junior team members
- •Work closely with Actuaries to ensure data quality and accuracy, and coding support for actuary valuation
Audensiel Healthcare
AI Engineer - applied in Bio-informatics•
- •Handled AIDRUG project to optimize monoclonal antibody manufacturing through protein aggregation prediction
- •Developed a series of AI-based models (Att-BiLSTM, Graph Neural Networks, Protein Language Models) to predict aggregation propensity from 2D sequences
- •Achieved 100x faster predictions compared to traditional computational methods while maintaining high accuracy
- •Built Streamlit web application enabling non-technical users to interact with models and get mutation suggestions for optimal antibody candidates
Vinci Construction
AI engineer• Intern
- •Built RAG-based QA system to streamline access to construction documentation and technical knowledge
- •Architected hybrid search system combining traditional keyword matching (BM25) and semantic search, with GPT model to provide answers to complex construction-related queries
Telecom sudparis
Researcher Assistant•
- •Researcher assistant working on Artificial Intelligence and Big Data Techniques for Smart Mobility
- •Continuation of paper https://arxiv.org/pdf/2210.08327.pdf
Education
Master's Degree in Data Science
Institut Polytechnique de Paris (IP-Paris)
- QS World University Rankings 2025: #46 Worldwide | #2 in France
- Advanced curriculum in cutting-edge AI domains: Deep Learning, NLP, Computer Vision, Reinforcement Learning, and Audio Information Retrieval
- Academic Excellence: 3.85/4.0 GPA
Diplôme d'ingénieur (Master's equivalent) in Statistical Modeling & Applications
Télécom SudParis
- Graduated from France's elite Grande École system - renowned for its rigorous, selective engineering education
- Core member of Institut Polytechnique de Paris, studying alongside top-tier researchers and industry leaders
- Specialized in Statistical Modeling, Machine Learning, and Data Science applications for real-world problem solving
- Academic Excellence: 3.5/4.0 GPA
Bachelor's Degree in Computer Science
Institute of Technology of Cambodia (ITC)
- Perfect 4.0/4.0 GPA - Ranked top1 for straight 3 years
- Built comprehensive foundation in computer science fundamentals and software engineering principles
- Completed intensive 3-year program with focus on algorithmic thinking and systems design
Life Events
Dual Graduation: Engineering Diploma from TSP & Data Science Master from IPParis
Completed a comprehensive educational journey with dual qualifications - an Engineering Diploma from Télécom SudParis and a Master's degree in Data Science from Institut Polytechnique de Paris.
Full Eiffel Scholarship for Engineering Studies in France
Granted the Eiffel Excellence Scholarship for the complete duration of my studies at Télécom SudParis, representing a significant milestone in my academic journey and international education.
59th International Mathematics Olympiad (IMO), Cluj Napoca, Romania
Selected as national representative for Cambodia to compete in the 59th International Mathematics Olympiad (IMO) Competition, 2018 in Romania
Gold Medalist, Cambodia National Mathematical Olympiad
Sole Gold Medalist in the 2015 Cambodia National Mathematical Olympiad (Grade 12)
Research paper, 11th Congress Search for SEAMEO Young Scientists, Penang Malaysia
Submitted a research paper and won "special award of commercial potential development of a product for the society and environment"
SIMOC (Singapore International Math Olympiad Challenge), Singapore
Won a Silver Medal in the 2017 SIMOC Math Contest for individual problem-solving in mathematics. Also earned a Bronze Medal in the 2017 SIMOC Mind Sports Challenge, a team event involving puzzles, logic, and critical thinking.
SASMO (Singapore & Asian Schools Math Olympiad)
Awarded a Silver Medal in the 2017 Singapore & Asian Schools Math Olympiad (SASMO) – Cambodia round
Science Technology Exchange Program, JENESYS, Japan
Selected as representative for Cambodia to participate in Japan-East Asia Network of Exchange for Students and Youths. (JENESYS) - under the theme "Science & Technology", Japan.
Silver Medalist, Cambodia National Mathematical Olympiad
Participated in the Cambodia National Mathematical Olympiad (Grade9) in 2015, receiving the Silver Medal for outstanding performance.
