Welcome to My Project

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After earning my Google Data Analytics certification, I was eager to embark on a personal project to showcase my skills and align with my interests. The journey began with a simple goal: to engage my brother's passion for Film Noir movies and introduce him to the convenience of digital movie collections. Little did I know that this endeavor would grow into a multifaceted exploration of entertainment data.

As my brother enthusiastically embraced his newfound digital movie library, my mother joined the journey, reminiscing about the old-time radio shows she cherished as a young girl. Our collection expanded, encompassing a rich tapestry of movies, radio shows, music, and more. Yet, the eclectic mix lacked structure and completeness.

My background in State Reporting, where I transformed a chaotic department into an efficient operation, provided valuable insights. I realized that organization, standardization, and meticulous documentation were crucial to success. In the same way, I set out to bring order to our entertainment collection.

I established standard naming conventions for each category within our vast collection. Retrieving the required information for these conventions was a challenging but enlightening journey. I delved into research, often delving into the nuances of various sources to ensure accuracy. Python programs became my trusted companions, assisting in data retrieval and cleaning.

With naming conventions in hand, the next step was to create a structured database for our data. CSV files served as temporary repositories, but I soon realized the need for a more robust solution. I built a MySQL database with dedicated tables for each file type and developed Python scripts to process and populate the database.

My GitHub repository  houses the Python programs that drove this project. It represents my commitment to data organization, problem-solving, and technical proficiency.

This journey has honed my data analytics skills and deepened my appreciation for the power of data in creating order from chaos. I'm excited to leverage these experiences and skills in future data science endeavors.