SUTASINEE PONGSANAM

Objective

Passionate about innovative solutions to elevate information processes with expertise in database management, business analysis, and data analysis. Actively seeking opportunities to enhance organizational efficiency and make a measurable impact.

Education

Bachelor of Science in Statistics
King Mongkut’s Institute of Technology Ladkrabang (KMITL) — Aug 2021 – Mar 2025
GPA:3.49

skills

  • SQL SQL
  • Python Python
  • Power BI Power BI
  • RStudio RStudio
  • SPSS SPSS
  • Figma Figma
  • Microsoft Office Microsoft Tools

Internship

RIS CENTRAL GROUP (April 2024 – June 2024)
Business Analyst Internship - Communicated and collaborated with users to select suitable features and meet requirements
- Designed and optimized workflows
- Managed all project-related documents and ensured proper organization
- Reconsidered sales reports to identify errors and find solutions

Academic projects

### 📌 Air Quality Index Prediction Developed a machine learning model to predict AQI using ensemble methods and SHAP values. 📎 🔗 View Full Report (RPubs)
- Developed a machine learning model to predict the Air Quality Index (AQI) using ensemble machine learning methods. - Evaluated the model’s performance using RMSE, MAE, and R² metrics on a dataset of over 1 million entries from India’s Central Pollution Control Board. - Applied SHAP values to interpret the results and highlight the key factors influencing AQI predictions.

Statistics Selection Tool

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  • Developed a VBA tool in Excel to assist users in selecting appropriate statistical tests based on their data and research questions.
  • Included an intuitive interface that guided users by presenting questions such as “Is your data normally distributed?” and recommended appropriate statistical tests.

Forecast Gold Prices

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  • Forecasted gold prices using time series analysis with 9 years of historical data.
  • Implemented the analysis using Excel and Minitab to develop the predictive model.

Fitness Center Database System

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  • Created an ER diagram and relational schema, followed by normalization.
  • Generated a data dictionary to assist in building a database system for the fitness center.

Factors Affecting the Price of Audi Cars Used

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  • Imported data from Kaggle and utilized Excel and R Programming to clean, preprocess, and analyze the data.
  • Established criteria for decision-making in the process of buying and selling used cars.

Certificates

Power of Personality (Full Course)

Issued by: KMITL Masterclass (KLIX)
Description: Personal branding, leadership, and confidence development
View Certificate (PDF)


Modern Entrepreneur (Full Course)

Issued by: KMITL Masterclass (KLIX)
Description: Business model canvas, startup strategy, innovation
View Certificate (PDF)


Professional Communication and Presentation (Full Course)

Issued by: KMITL Masterclass (KLIX)
Description: Public speaking, persuasive communication, professional presentation
View Certificate (PDF)

📄 ดูรายงานแบบเต็ม

Tools

Python, Pandas, Scikit-learn, SHAP

Full notebook: GitHub Repo