Curriculum Vitae Data Scientist in Myanmar Yangon – Free Word Template Download with AI

Address: 123 Myo Ma Street, Mingalar Taung Nyunt, Yangon, Myanmar

Email: [email protected] | Phone: +95 9456789012

LinkedIn: linkedin.com/in/janedoe-datascientist | GitHub: github.com/janedoe

A dedicated and innovative Data Scientist with a strong background in analytics, machine learning, and data-driven decision-making. Passionate about leveraging data to solve complex problems in Myanmar Yangon's dynamic business landscape. Committed to contributing expertise in statistical modeling, predictive analytics, and big data technologies to drive growth and efficiency for organizations operating in the region.

As a Data Scientist based in Myanmar Yangon, I specialize in transforming raw data into actionable insights that align with organizational goals. My experience spans across industries such as finance, agriculture, and technology, where I have developed scalable solutions to optimize operations and enhance user engagement. With a deep understanding of local market dynamics and global best practices, I aim to bridge the gap between data science innovation and practical applications in Myanmar's evolving economy.

Bachelor of Science in Computer Science
University of Computer Studies, Yangon, Myanmar
Graduated: June 2018

Master of Science in Data Science
National University of Singapore (NUS), Singapore
Graduated: May 2021

Data Scientist
Myanmar Tech Solutions, Yangon, Myanmar
January 2023 – Present

• Designed and deployed machine learning models to predict customer behavior for e-commerce platforms in Myanmar.
• Analyzed large datasets using Python and SQL to identify trends in consumer spending patterns across urban areas like Yangon.

Data Analyst Intern
AgriTech Myanmar, Yangon, Myanmar
June 2021 – December 2022

• Programming Languages: Python, R, SQL
• Data Analysis Tools: Pandas, NumPy, Scikit-learn
• Data Visualization: Tableau, Power BI, Matplotlib
• Miscellaneous: Git, Jupyter Notebook, Google Cloud Platform (GCP)

Predictive Model for Urban Traffic in Yangon
Developed a machine learning model using historical traffic data to forecast congestion patterns in Yangon. The solution was presented to the local government for potential integration into urban planning strategies.

Customer Segmentation for Financial Institutions
Applied clustering algorithms (K-means) to segment customers in Myanmar's banking sector, enabling personalized marketing strategies that increased customer satisfaction scores by 12%.

• Google Data Analytics Professional Certificate (Coursera)
• Microsoft Azure AI Fundamentals (Microsoft Learn)
• Data Science Specialization by Johns Hopkins University (Coursera)

• English (Fluent)
• Burmese (Native)
• Thai (Basic)

Available upon request.