Available to hire
I am a Data Analyst and aspiring Data Scientist with over 3 years of experience in telecommunications and software development, specializing in processing large-scale structured and unstructured datasets, building end-to-end data pipelines, and developing predictive models, network performance analytics, and operational KPI reporting.
I am proficient in Python, Golang, Java, SQL, Power BI, PySpark, and machine learning, and I translate analytical insights into actionable business recommendations. I enjoy collaborating with cross-functional teams to design end-to-end analytical solutions, improve network visibility, and deliver data-driven decisions. I am passionate about data quality, continuous improvement of telco analytics frameworks, and exploring cloud technologies and real-time analytics to support strategic decision-making.
Skills
Experience Level
Expert
Expert
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Intermediate
Intermediate
Language
English
Fluent
Burmese
Fluent
Work Experience
Software Engineer
December 31, 2020 - September 1, 2025Engineered and optimized backend applications using Go (Golang) and PHP, improving system performance and scalability by 20%. Implemented machine learning algorithms such as Random Forest and SVM to improve prediction accuracy by 15% and automated reporting, saving over 20 hours monthly. Managed enterprise databases including PostgreSQL, MySQL, MongoDB, and Oracle that handled over 1 million records, improving query speed by 30%. Improved UI performance by reducing load times by 25% and resolved recurring bugs. Resolved more than 15 software issues per sprint, enhancing product reliability and Agile team efficiency.
Software Engineer at CDE Company Limited
May 1, 2020 - May 1, 2020Developed automated code-generation pipelines using Golang, Python, and Java to streamline software development workflows; integrated machine learning algorithms to evaluate and enhance model accuracy and reliability; automated data extraction and report generation, reducing manual reporting time; collaborated with analysts and engineers to improve data pipelines, reporting reliability, and data integrity.
Data Analyst at Mytel Telecommunication Company
June 1, 2024 - June 1, 2024Collected, cleaned, and integrated large-scale datasets; designed and maintained Power BI dashboards and KPI reports for churn, ARPU, and revenue; conducted contact centre analytics to identify drivers of customer behavior and satisfaction; improved retention accuracy; collaborated with data engineers to enhance data pipelines and reporting reliability; delivered data-driven insights for executive decisions; supported management reporting with BI and compliance dashboards.
Data Scientist (Applied ML & Analytics) at Mytel Telecommunication Company
September 1, 2022 - June 30, 2024Cleaned and transformed telecom data using SQL, Python, and Excel to identify performance issues, outages, and customer-impacting trends. Improved customer retention by 19% through churn segmentation and cohort analysis, and performed root-cause analysis on complaints to reduce repeated issues by 15%. Collaborated with Network Engineering, Customer Care, and IT to translate business needs into analytical insights, reducing manual reporting time by 18%. Conducted churn analysis and time-series forecasting to identify high-risk groups and inform retention strategies. Designed and automated interactive Power BI dashboards to visualize KPIs such as churn rate, network usage, ARPU, and customer satisfaction trends; presented insights to management to drive network performance and customer experience improvements.
Software Engineer at CDE Company Limited
April 1, 2019 - May 20, 2020Implemented end-to-end data-driven projects across finance, healthcare, entertainment, and e-commerce, applying machine learning and BI techniques to solve real-world challenges. Contributed to a sentiment-driven product recommendation and sales insight system for e-commerce; built an NLP pipeline and deployed the model via FastAPI/Flask with interactive dashboards to visualize real-time sentiment trends and sales performance.
Education
MSc Data Science at Teesside University, Singapore Campus
January 1, 2024 - December 31, 2025MSc Computer Science at University of Computer Studies, Myanmar
January 1, 2021 - December 31, 2023BSc Computer Science at University of Computer Studies, Myanmar
January 1, 2014 - December 31, 2019Master of Science in Data Science at Teesside University (UK) – Amity Global Institute, Singapore
January 1, 2024 - January 1, 2025Master of Computer Science at University of Computer Studies, Pathein (Myanmar)
January 1, 2021 - January 1, 2023Bachelor of Computer Science at University of Computer Studies, Pathein (Myanmar)
January 1, 2015 - January 1, 2019Master of Science in Data Science at Teesside University (UK) – Amity Global Institute, Singapore
January 1, 2024 - December 31, 2025Master of Computer Science at University of Computer Studies, Pathein (Myanmar)
January 1, 2021 - December 31, 2023Bachelor of Computer Science at University of Computer Studies, Pathein (Myanmar)
January 1, 2015 - December 31, 2019Qualifications
Decision Making on Green Food Packaging
January 1, 2022 - September 1, 2025Java Standard Edition, Spring Framework & Angular Framework (Java Developer Class)
January 11, 2030 - September 1, 2025Analyzing Data with Microsoft SQL, Power BI and Python
October 5, 2024 - February 8, 2025Decision Making on Green Food Packaging – Journal Presentation
January 1, 2023 - January 1, 2023Analyzing Data with Microsoft SQL Server, Power BI and Python
January 1, 2025 - January 1, 2025Java Standard Edition Programming (JDC Academy)
January 1, 2022 - January 1, 2022Best Student Award (Teesside University)
January 1, 2025 - January 1, 2025Java Standard Edition Programming (Oracle Academy)
January 1, 2022 - December 16, 2025Analyzing Data with Microsoft SQL Power BI & Python
January 1, 2025 - December 16, 2025Best Student Award
January 1, 2025 - December 16, 2025Industry Experience
Financial Services, Healthcare, Retail, Software & Internet, Telecommunications, Professional Services
Skills
Experience Level
Expert
Expert
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Expert
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Expert
Expert
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Expert
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Intermediate
Intermediate
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