• Designed and implemented advanced data analytics solution that maximized campaign conversion rates by optimizing customer segmentation and streamlining the lead selection process.• Integrated and feature engineered large-scale customer, products, and campaign datasets to facilitate robust prediction and to explain conversion trends.• Formulated well-calibrated probability estimates to standardizing the comparison of success probabilities across various marketing products and services.• Conducted quantitative and qualitative analysis to advocate data-driven approach against existing allocation strategy.

• Conducted in-depth analysis of customer survey data using econometric principles to identify key value and emotional drivers that influence customer satisfaction.• Developed predictive models to forecast revenue changes based on changes in customer satisfaction levels.• Performed robustness tests to improve the reliability and consistency of the results.

• Integrated, organized, and cleansed large volumes of telecom data, including demographic, digital, and physical data of over 7 million users in Taiwan.• Leveraged domain knowledge and clustering algorithms to segment and labeled users based on their behaviors and characteristics.• Built regression and classification models to predict user behavior.

• Conducted extensive horizontal and vertical market analysis to identify potential and scalable startup companies.• Performed initial stages of due diligence (DD) on a unicorn, the investment resulted in a 400% ROI after IPO 1.5 years later• Attended an average of 3 startup companies' pitch decks per week, evaluating the viability and potential of each.