Bellabeat - Google Data Analytics Capstone
Analyzed FitBit smart device data and identified customer usage patterns using BigQuery and Tableau to uncover peak activity windows and guide Bellabeat's marketing strategies.
For the longest time, I wasn't sure what I wanted to do. There were so many fascinating fields. I drifted from one interest to another, but one thing never changed: my love for learning and figuring out how things work.
At some point, I realized there was simply no perfect answer. I had to choose a path that aligned with my values. The world is generating data at an unprecedented rate, and organizations must adapt to stay competitive and serve their customers better. That means transforming messy, raw information into clear, actionable insights, identifying hidden behavioral trends, and building visual dashboards that allow stakeholders to make data-driven decisions. To me, these aren't just technical challenges; they are opportunities to create real impact for both businesses and the people who depend on them.
This portfolio reflects my commitment to continuous learning through hands-on data projects. With each dataset, I hope to develop practical skills that help organizations uncover truth, optimize their strategies, and achieve their business goals.
Analyzed FitBit smart device data and identified customer usage patterns using BigQuery and Tableau to uncover peak activity windows and guide Bellabeat's marketing strategies.
Visualized Daikibo Industry factory device downtimes and audited employee equality metrics using Tableau and Excel to identify failing machines and help guide equal pay structures.