• Collaborate with program participants utilizing data exploration, data visualization, and feature engineering methods to build predictive models using Python, R, and SQL• Research and present impacts of Fast Food and Supermarkets on child obesity levels in the Greater Los Angeles Area.• Competed in Kaggle competitions – placing in the top 23% in “House Prices: Advanced Regression Techniques” on May 2019(NSF Award #1842386)

• Compile and Pre-Process large volumes of ‘Point of Sale’ System data from different vendors within the Zoo • Analyzed company revenue drivers using standard data analytics practices and techniques to implement machine learning models to maximize company revenue and attendance.• Utilized Python and database programming techniques to create a database-like structure to improve the company’s future data flow processes• Completed attendance and revenue analysis that can improve the company’s revenue up to 11% and attendance up to 7%

• Manage 3 equity portfolios comprising of $5 MM in assets under management which supplements CSUN undergraduate scholarships and grants.• Screened equities based on financial statements analysis to create potential buy lists for further financial analysis and risk assessment analysis.• Forecasted 18 critical global macro-economic factors via analysis of variance to optimize buy list to construct portfolios• Achieved greater risk-adjusted returns compared to the benchmark, ETF portfolio attained a 1.50% greater risk-adjusted return and the sustainable, and responsible investment (SRI / ESG) portfolio outperformed by 2.62%

• Oversee general business computers along with Bloomberg Terminals in a computer lab. • Assist students with navigating a Bloomberg terminal along with general help for conducting financial analysis. • Maintain computer lab's general cleanliness and functionality.