■ Utilized Selenium, BeautifulSoup and AWS services to scrape data from secondary marketplaces. This initiative resulted in drastically increased margins and overall efficiency in pricing and deal procurement, providing buy and sell side teams insights on future market positioning and individual product profitability in real time.■ Design and automate backend workflows, including database ingestion and client and seller outreach. Implemented a PostgreSQL database containing all apparel and shoes traded in the company’s universe, which updates automatically. This database includes paths for scraping mechanisms and operational workflow efficiencies. Pricing automations are instantaneous, facilitated by AWS services.■ Integrating and designing SAP Business One with our consultants to map current backend and operational flows.

• Overlook and manage Manhattan College’s financials; determine the needs of the school from financing to cutting costs.• Evaluate school’s income level from student enrollment, donations, grants, and other school functions as well as finding ways to seek improvement; creating strategies for additional income through events and adjusting scholarships.• Oversee the college’s endowment investment portfolio and make changes relative to the school’s changing environment.

• Examined forms of monetary policy actions accounting for their potential impacts domestically and internationally.• Researched past and present economic initiatives such as inflationary regimes accounting for their effects in the past, present, and future; determined if these events caused productive, lasting economic impact and if these trends will continue; recommended changes to fiscal and monetary policy with regard to benefiting the US economy.• Simulated future economic climates with observable and unobservable data to make reliable forecasts.• Focused on the federal funds rate, inflation, and globalization while focusing on how these factors impact one another.

• Researched the SPX to determine if arbitrages are profitable through derivative spreads such as conversions and reversals.• Investigated correlations between profits and volatility; identified the number of risk-free contracts that existed.• Concluded that arbitrage opportunities grow yearly and are larger relative to increasing trading volume each year.• Utilized the coding language AWK to manage, perform analysis and calculate spreads for the option contracts.

• Wrote a research report; analyzed the information technology and consulting company Cognizant's risk profile; found competitors and investigated firms competitive advantage.• Determined a recommendation to buy Cognizant after analysis of the firm and sector competition

• Analyzed major entertainment firms and determined their future long-term price movements on fundamental analysis through SEC Filings, balance sheets and news; looked to see if firm success was mainly systematic or unsystematic.• Researched, learned, and reported overall firm and market findings; wrote market and equity reports as well as recommended option trades to upper management with expected price movement within given timeframe.• Presented our equity pitch and entertainment sector review results; networked and received feedback from investors.