Daniel Wei Email & Phone Number

New York, United States

• Prepared a comprehensive OM market analysis report using market data and sales plans for 20+ hotels, processing over 10,000 records through SQL and Python.
• Performed regression and trend analysis to forecast market trends with less than 5% error, improving sales plan accuracy by 20%.
• Leveraged ArcGIS and geospatial analysis tools to evaluate potential store locations, reducing uncertainty in key location decisions by 10%.
• Applied K-means clustering algorithms and market… Show more
• Applied K-means clustering algorithms and market segmentation techniques, improving customer targeting and grouping by geographic and demand patterns. Show less

New York, United States

• Conducted Discounted Cash Flow and Comparable Company Analysis models for company valuations, enhancing the accuracy of investment strategies by 15%.
• Evaluated Tesla’s financial metrics (e.g., P/E ratio, EBIT) using financial projection models in Python, improving growth potential analysis and report clarity by 20%.
• Performed in-depth financial analysis on Amazon’s 2023 financial statements, focusing on key financial ratios, which improved projection accuracy by 20%.
• Analyzed… Show more
• Analyzed financial data for over 10 technology companies using Monte Carlo simulations and scenario analysis to forecast investment returns, boosting accuracy by 25%.
• Developed financial models and datasets with R, Python, and SQL to support investment decisions, improving market prediction model accuracy by 10%. Show less

Developed a real estate price prediction model on Zillow using Prophet, showcasing advanced forecasting skillsConducted out-of-sample predictions to validate the model's accuracy and reliabilityImplemented cross-validation techniques to ensure robustness and generalizability of the prediction modelAnalyzed performance metrics, achieving an 85% accuracy in.

Established a systematic tactical asset allocation strategy using dual momentum (combining relative strength and absolute momentum)Utilized cross-sectional momentum and time-series momentum to enhance returns, reduce overall volatility, and minimize drawdownsProgrammed and implemented the strategy on QuantConnect, demonstrating strong technical and coding.