About me


Project

Check out my projects on GitHub:

  1. https://chayanonboo.github.io/Chayanon_Boonthanom_Portfolio/
  2. https://github.com/Chayanonboo/DSB-batch10
  3. https://github.com/Chayanonboo/code-for-articles

Resume


Hello Everybody 💕💕💕 . Welcome to my hub for data insights, professional projects, and thought leadership.


About me

My name is Chayanon Boonthanom. I am currently in Data Analyst with a strong background in risk assessment and statistical analysis across the Insurance and Medical Aesthetics industries. Passionate about transforming raw data into actionable business insights, optimizing processes through Python & SQL, and driving strategic decisions. Continuously upskilling in advanced data analytics and visualization tools.


Technical skills

-Languages & Databases: Python, SQL, BigQuery

-Tools & BI Platforms: Looker Studio, Excel (Advanced: XLOOKUP, Data Analysis), Meta Business Suite

-Data Engineering & Techniques: Web Scraping, KML Data Extraction, Data Cleaning, ETL Processes


Core Competencies

Data Analysis & KPI Analytics: Transforming raw data into actionable insights and tracking sales/performance indicators.

Business Forecasting & Market Share Projection: Utilizing historical data to project sales trends and develop strategic recommendations.

Risk & Portfolio Analysis: Evaluating risk factors, premium data, and financial loss ratios (experienced in Property & Marine Insurance).

Cross-Functional Collaboration: Partnering with Sales, Marketing, and Key Stakeholders to drive data-driven decision-making.

Domain Expertise: Specialized in Medical Aesthetics Industry and Data Operations for Insurance.


Work Experience

  • Medyceles (Data Analyst) (2024-Present)

-Data Analysis & KPI Analytics: Transforming raw data into actionable insights and tracking sales/performance indicators.

-Business Forecasting & Market Share Projection: Utilizing historical data to project sales trends and develop strategic recommendations.


  • Krungthai Panich Insurance Public Company Limited (2022 – 2024)

-Data Operations & Risk Analysis: Evaluated and processed over 500 miscellaneous and property insurance policy files, utilizing Excel to analyze risk factors and premium data.

-Efficiency Optimization: Implemented advanced Excel functions (such as XLOOKUP) to bridge and sync multi-sheet datasets, significantly reducing policy processing time for the underwriting team.

-Portfolio Performance: Delivered data-backed risk assessments that contributed to maintaining a department Loss Ratio of 5% below the team’s average.


  • Tokio Marine Safety Insurance (2021-2022)

-Risk Data Management: Assessed marine risks using cleaned and validated datasets to inform underwriting decisions and support policy issuance accuracy.

-Reporting & Analytics: Produced and delivered monthly reports summarizing policy issuance volume for management review and regulatory data submission.

-Stakeholder Alignment: Collaborated closely with the Marketing team to streamline operations and ensure smooth, cross-functional workflows.


Education

  • Bachelor of Science and Technology , Thammasat University (2017-2020)

Study about Program R for use analysis data, time series and forecasting, business model and statistic quality control.


Professional Certificate Coursera

  1. IBM Data Analyst (Coursera) – May 2025

2. Data Analysis and Visualization Foundations (Coursera) – June 2025

3. Introduction to Data Science – July 2025

4. Data Analytics and Visualization – May 2026


Professional Development Coursera

  1. Excel Basics for Data Analysis (Coursera) – Dec 2024
  2. SQL for Data Science (Coursera) – March 2024
  3. Data Analysis with SQL: Inform a Business Decision (Coursera) – Dec 2024
  4. Data Analysis with R Programming (Coursera) – August 2024
  5. Data Visualization and Dashboards with Excel and Cognos (Coursera) – 2024
  6. Harnessing the Power of Data with Power BI (Coursera) – Dec 2024
  7. Python for Data Science, AI & Development (Coursera) – April 2024
  8. Python Project for Data Science (Coursera) – May 2024
  9. Databases and SQL for Data Science with Python (Coursera) – June 2024
  10. Data Analysis with Python (Coursera) – May 2025
  11. BigQuery for Data Analysts – May 2026
  12. How to Build a BI Dashboard Using Google Looker Studio and BigQuery – 2026

Professional Development W3School

  1. Excel Certification (W3School) – Feb 2025
  2. SQL Certification (W3School) – Feb 2025
  3. R Certification (W3School) – Feb 2025
  4. Statistics Certification (W3School) – Feb 2025
  5. Python Certification (W3School) – Feb 2025
  6. Pandas Certification (W3School) – April 2025
  7. Numpy Certification (W3School) – April 2025
  8. Data Science Certification (W3School) – April 2025
  9. Data Analyst Certification (W3School) – April 2025

This certificate will help me learn the fundamentals of Excel, SQL and R how to use it in everyday situations.


Contact

Gmail : bcc3110@gmail.com

LinkedIn : https://www.linkedin.com/in/chayanon-boonthanom/


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