Maya Kelly

Completed 4 stock market data analytics projects in the language Q and utilized Pythons Pandas

Coordinated with various departments to work on a data literacy project and an ESG project

Presented on most efficient and cheapest times to trade stocks based on Rolles algorithm and liquidity models

Collaborated with internal trading desks to understand necessary specs for a market sales input GUI

Performed 3 automated and manual internal security controls compliance tests weekly in order to examine corporate controls compliance with the Sarbanes-Oxley Act (SOX).

Validated all SOX compliance testing through various audit workpapers documented in Excel.

Collaborated in an agile environment with internal auditors, external auditors, and executives to test the companys regulatory controls and to present compliance findings from the review of internal controls.

One of the few interns selected to travel nationally to complete highly detail-oriented operational audits on approximately 20 Walmart stores.

Assessed risk through both automated and manual penetration testing for internal controls within the various Walmart divisions.

Proposed substantive tests in the IT, compliance, financial, and operational space based on risk encountered from previous testing and walkthroughs.

Complied with federal, state, and local security and legal requirements by studying existing and new security legislation.

Handled accounting for E-Commerce Secure Payment Systems

Consulted with customers about technology for their various operations

Curated excel spreadsheets for each bi-weekly financial- transfers

•Collaborated with a team to design a working software application prototype that analyzes emotion using color within film. •Created and optimized Python code that performs a color-emotion association analysis on movie frames based on color theory psychological studies. •Researched film color techniques, color theory, color emotion associations, and music emotion associations in order to optimize the emotional analysis software for the purposes of aiding in creating an appropriate computer-generated musical score. •Presented twice on the progress and completion of project to colleagues and supervisors; the prototype resulted in the Deep Score application having a second verification of emotion before completing a musical score.