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.
Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Hire Me Because
My Capstone Project: 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.