ASTRI Summer Internship Program 2024- Automated process for collecting and storing Imperva Cloud Web Application Firewall logs to company’s SQL database, reducing manual work by 80%, using web scraping framework and natural language processing (NLP) processes- Analyzed over 2.7 million rows of employees’ common network vulnerabilities data using Python’s pandas library- Performed statistical analysis and presented visualizations generated through Seaborn and Matplotlib to department managers

An intern in the Enterprise Data Analytics team.- Employed SQL to retrieve and preprocess a dataset of more than ten million rows of daily banking transaction data- Utilized rule-based filtering with Pythons pandas and NumPy libraries to analyze a dataset containing over 300 million rows- Identified over 8,000 fraudulent accounts and presented predictive models to accurately detect future fraudulent accounts to department managers through visualizations created with Pythons Matplotlib

A research intern at the Transport and Logistics Policy Team.- Utilized QGIS geographic information system to generate the most optimal train station locations based on large community centers, regular commuters information, and journey costs- Performed a query search to highlight important information on Thailand’s ports logistics and sea freight rates- Analyzed and presented a forecast of information on current Thailand’s transportation and logistics data such as traffic accident rates and current modes of transportation to government officials