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Hi, I'm Win Myanmar Lay. I'm a data-driven logistics professional with a track record of improving operational efficiency through data analysis and process optimization. I've coordinated international distribution and analyzed millions of records to uncover actionable insights that enhance throughput and reliability. I'm currently pursuing an MSc in Data Analytics at CCT College of Dublin and have hands-on experience with SQL, Python, and Power BI to optimize complex networks. I thrive in cross-functional teams and enjoy turning data into practical improvements that drive business outcomes.…Hi, I'm Win Myanmar Lay. I'm a data-driven logistics professional with a track record of improving operational efficiency through data analysis and process optimization. I've coordinated international distribution and analyzed millions of records to uncover actionable insights that enhance throughput and reliability. I'm currently pursuing an MSc in Data Analytics at CCT College of Dublin and have hands-on experience with SQL, Python, and Power BI to optimize complex networks. I thrive in cross-functional teams and enjoy turning data into practical improvements that drive business outcomes.

Win Myanmar Lay

Data Scientist, Data Analyst, Web Developer, +3

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Hi, I'm Win Myanmar Lay. I'm a data-driven logistics professional with a track record of improving operational efficiency through data analysis and process optimization. I've coordinated international distribution and analyzed millions of records to uncover actionable insights that enhance throughput and reliability. I'm currently pursuing an MSc in Data Analytics at CCT College of Dublin and have hands-on experience with SQL, Python, and Power BI to optimize complex networks. I thrive in cross-functional teams and enjoy turning data into practical improvements that drive business outcomes.…Hi, I'm Win Myanmar Lay. I'm a data-driven logistics professional with a track record of improving operational efficiency through data analysis and process optimization. I've coordinated international distribution and analyzed millions of records to uncover actionable insights that enhance throughput and reliability. I'm currently pursuing an MSc in Data Analytics at CCT College of Dublin and have hands-on experience with SQL, Python, and Power BI to optimize complex networks. I thrive in cross-functional teams and enjoy turning data into practical improvements that drive business outcomes.

Available to hire

Hi, I’m Win Myanmar Lay. I’m a data-driven logistics professional with a track record of improving operational efficiency through data analysis and process optimization. I’ve coordinated international distribution and analyzed millions of records to uncover actionable insights that enhance throughput and reliability.

I’m currently pursuing an MSc in Data Analytics at CCT College of Dublin and have hands-on experience with SQL, Python, and Power BI to optimize complex networks. I thrive in cross-functional teams and enjoy turning data into practical improvements that drive business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Analyst Intern at KittyKat AI

June 1, 2025 - September 1, 2025

Developed and implemented a performance framework using quantitative metrics (FID, preference scores) to evaluate product optimization. Improved key generation performance by 22% through data-driven hyperparameter tuning and optimization. Co-led process improvement initiatives with cross-functional teams to redesign image generation workflows, increasing output consistency by 30%. Ensured data integrity by preprocessing large datasets for strategic product and operational analysis.

Research Analyst at Frontier Myanmar Research Ltd.

November 1, 2018 - September 1, 2023

Led a research team of three in data collection, analysis, and reporting across logistics sectors including automobile, aviation, trucking, and agriculture. Managed logistics coordination and supply chain process analysis for international and domestic distribution, processing millions of records to produce weekly trade reports. Presented strategic insights and data-driven recommendations to senior management and external clients to inform high-level logistics decision-making. Supported data quality and validation initiatives, ensuring accuracy of primary and secondary datasets for high-volume logistics operations.