Daniel Setiawan Email & Phone Number

Berkeley, California, United States

Berkeley, California, United States

New York, New York, United States

NYCDSA is an exceptionally immersive data science program that places a strong emphasis on cutting-edge statistical analysis, large-scale data processing, and a diverse range of machine learning methodologies (including both supervised and unsupervised techniques).- Developed a trading analytics technique utilizing natural language processing sentiment analysis to drive alpha strategies in ~5M scraped tweets, producing returns 10-20% higher than the traditional SMA crossover benchmark.- Drove data-driven insights through various modeling techniques, such as: Lasso, SARIMA (timeseries), SVR, and tree-based models to predict and forecast accurate housing prices, developing effective home-flipping strategies. - Explored consumer behavior trends associated with AirBNB & travel in order to identify and implement innovative marketing strategies that businesses and hosts can adopt to remain competitive during economic downturns.- Conducted a comprehensive analysis of YouTube video analytics to uncover consumer marketing behavior, identify global buying trends, and discover which type of products is most impactful for certain regions / consumer groups.- Deployed 3 interactive dashboards using Python Dash & R Shiny: translated & visualized complex datasets to break down information, allowing users to predict trends and visually compare.