Data Analyst Portfolio

About Me

Introduction

I am a passionate data analyst with a strong foundation in statistical analysis, data visualization, and business intelligence. My journey in data analytics began with a curiosity about how numbers tell stories and has evolved into a professional pursuit of turning complex datasets into clear, actionable insights.

With expertise in Python, SQL, and modern BI tools, I specialize in building data pipelines, creating interactive dashboards, and performing deep-dive analyses that empower organizations to make data-driven decisions.

Email toelinaung088@gmail.com

Phone +66 640347747

Location Mandalay, Myanmar

Experience 2 Years

Education

Associate Degree in Computer Science

2023 - 2026

University of The People

Data Structure and Algorithm, Python, Java, Website Development, Computer Architecture

Bachelor of Community Health

2016 - 2021

University of Community Health (Magway)

Public Health, Health Education, Epidemiology, Public Health Research, Quantitative Research, Health Statistics, Health Promotion.

Diploma in Community Leadership and Research

2024- 2025

Community Leadership and Research Institute

Qualitative Research, Project Management, Community Leadership, Diversity, Inclusion and Equity, Economic, Social Science Research Project

Data Analysis Projects

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Customer Behaviour Analysis

Interactive PowerBI dashboard analyzing sales trends, customer segmentation, and revenue forecasting across multiple regions.

Power BI SQL Python Excel

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Food Safety Insecurity Analysis

Complete workflow documentation - From data collection to final report ✅ Multiple tools demonstrated - SQL, Python, Jupyter, Power BI, Git ✅ Professional documentation - Industry-standard markdown files ✅ Reproducible analysis - Anyone can replicate your work ✅ Real-world impact - Addresses global food security challenges

Power BI SQL Python Excel/Google Sheet Matplot, Numpy, Pandas

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Learning Journey

Daily reflections and key learnings from my data analytics journey. This section is regularly updated with new insights and experiences.

February 11, 2026

Advanced SQL Window Functions

Today I dove deep into SQL window functions, particularly ROW_NUMBER(), RANK(), and DENSE_RANK(). These functions have transformed how I approach complex analytical queries. I applied them to a customer segmentation project and reduced query complexity by 40%. The key learning: window functions are essential for performing calculations across row sets without grouping.

February 10, 2026

Tableau Dashboard Best Practices

Learned about the importance of dashboard design principles today. Key insights include: start with the end user in mind, use the right chart for the data story, and maintain consistency in color schemes. Implemented these principles in my sales dashboard redesign, resulting in much clearer insights and better user feedback.

February 9, 2026

Python Pandas Performance Optimization

Explored vectorization in Pandas and learned how to avoid iterating over DataFrame rows. By using vectorized operations and built-in methods like apply(), map(), and applymap(), I improved my data processing script performance by 10x. This is crucial for handling large datasets efficiently.

February 8, 2026

Statistical Hypothesis Testing

Reviewed hypothesis testing fundamentals and applied t-tests and chi-square tests to a marketing campaign analysis. The biggest takeaway: understanding p-values and statistical significance is crucial for making data-driven business recommendations. Always check assumptions before choosing a test.

February 7, 2026

Data Cleaning & Preprocessing Techniques

Spent the day mastering data cleaning techniques. Learned about handling missing values (imputation vs. deletion), dealing with outliers using IQR method, and standardizing data formats. Clean data is the foundation of good analysis - garbage in, garbage out!

Hello, I'm Toe Lin Aung

About Me

Introduction

Technical Skills

Programming & Tools

Data Visualization

Analytics