Automated the cleaning, storing, and visualization of cash bid data using Python, MySQL Server, and Tableau respectively; automated the cleaning, storing, and visualization of an agricultural API to feed supply and demand charts to the trading desk to support trade decisions.Used Python and HTML to generate a warning system to warn management in case of a system failure.Used excel and a Bloomberg terminal to conduct economic analysis on standard economic metrics as well as agricultural financial instruments; conducted a regression analysis to evaluate potential option spreads to hedge market risk.

Supported primary market research projects, qualitative and quantitative in nature; structured, analyzed and summarized research findings for stakeholders through presentations and timely deliverables using Excel, Powerpoint, and Microsoft Word; tracked and analyzed competitor product features, rates, and did comparative analysis as needed.Utilized Python’s Pandas library to clean and merge data then using statistical software implemented multivariate regression analysis to create a financial forecast.Designed surveys to define and develop target market profiles, as well as test clients’ market hypotheses.

Used accounting software and Excel to update monthly accruals ledger; worked with team members to audit employee budgets; kept confidential employee budget database.

Conducted research on corporations and investment vehicles, using defined procedures to identify relationships and provide validated and credible data. Then continue to enhance data quality overtime on new and existing data.