Timothy Marvel

Detail-oriented and analytical future graduate with a Bachelor of Science in Electrical Engineering and Computer Science. Strong foundation in data analysis, problem-solving, and technical skills, demonstrated through projects. Proficient in Python, SQL, R, and data visualization tools such as Looker. Passionate about leveraging data-driven insights to optimize decision-making. While primarily aspiring to be a data analyst, also open to opportunities in management and marketing position, where analytical thinking and strategic problem-solving can drive business success. Eager to apply knowledge and adaptability in a dynamic professional environment.

112 Academic Year, First Semester, Electrical Engineering Department Practical Project Achievement Exhibition.

112 學年度 第一學期 電機工程學系 實作專題成果展

Google Digital Marketing & E-commerce

Global Gaming Trends: Publisher & Genre Correlation Analysis | Looker, Bigquery (SQL), Python

- Developed an end-to-end data analysis project to provide actionable insights into video game sales trends, focusing on the correlation between publisher and genre popularity.

- Gathered data from Kaggle dataset contaning video game sales.

- Pre-processed raw data using Google colab (python) .

-  Implemented Python script using the pandas_gbq library to automate the transfer of processed video game sales data from a Pandas DataFrame to Google BigQuery. This demonstrates proficiency in data loading and ETL processes within the Google Cloud Platform.

- Developed an interactive dashboard to visualize all the insights from the dataset.