• 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 • 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 segmentation techniques, improving customer targeting and grouping by geographic and demand patterns. Show less

• 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 • 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 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 predictionsDemonstrated expertise in time series analysis and predictive modeling with practical application in real estate

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 skillsAchieved excellent backtesting results with an annualized return of 50% and a Sharpe ratio of 2.5Demonstrated ability… Show more 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 skillsAchieved excellent backtesting results with an annualized return of 50% and a Sharpe ratio of 2.5Demonstrated ability to develop and execute sophisticated investment strategies with robust risk-adjusted performance Show less