Project Name: Social Media Engagement Forecasting
Acquired 1.6 million data from TikTok, YouTube, and Instagram using 5 web-scraping tools and 3 APIs. Our analysis and predictive models allow E-commerces and businesses to gain the most branded-effect possible with a world-wide audience and increase their revenue. Facebook prophet model predicts engagement 57% better than baseline, along with natural language processing regression model predicts specific word choices for content description (outperformed baseline by 42%). Beyond other deliverables, I built a web app with interactive dashboard to present key findings for both technical and non-technical skate-holders.
I'm a multi-talented data scientist and visualization engineer with background in applied mathematics, web development, business, fine art and design. My analytical, innovative problem solving approach as well as public-speaking and sophisticated communication skills give me the magic to make data talk.
solving business problems and making an impact with data story-telling and AI.
Austin, TX; Dallas, TX; Phoenix, AZ; Seattle, WA; Remote (USA)
Creative, curious, and solution-oriented
Challenging, fast-pace, multi-faceted