As part of Operations Consulting - HearMe (CEO) and Columbia University for Clinton Foundation (Global Initiative)- Lead HearMe's initiative to enhance operational efficiency and scalability through innovative technology solutions- Analyze user data utilizing Metabase and stream.io to generate member insights, helping to refine and improve community operations- Manage a team of 8 interns to streamline scheduling and shift management to enhance shift flexibility and coverage by developing a system for shift exchanges and coverage functionalities while reducing scheduling gaps- Designed a pitch deck for the Clinton Global Initiative's collaboration with HearMe, presented to over 50 stakeholders, contributing to a 25% increase in partnership interest

As part of Operations Consulting - Moët Hennessy USA and Columbia University- Lead the strategic automation of compliance workflows for MHUSA, consolidating thousands of rows of data from multiple sources into a unified compliance database, significantly improving analysis and decision-making efficiency.- Develop and implement Power BI dashboards for real-time compliance activity monitoring, enhancing executive-level oversight and enabling faster, more informed decisions for 1,000 users.- Automate and modernize compliance management tools, including SharePoint forms and Excel solutions, supporting mid-to-long-term data initiatives and strengthening regulatory adherence.

As Part of Operations Consulting - TotoGEO (COO), INSEAD and Columbia University for Gates Foundation- Collaborate with INSEAD and the COO of TotoGEO to develop cost and revenue optimization models for TotoGEO.org, leveraging a Bill and Melinda Gates Foundation grant to enhance local implementation and operational efficiency.- Design decision support algorithms for optimizing vendor selection and bandwidth utilization across various IT configurations, resulting in significant cost savings for GPU/CPU farms and storage solutions.- Build traffic creation simulations using multi-armed bandit algorithms to forecast revenue across different monetization models, presenting financial strategies and projections to a leadership team of 10, leading to an anticipated 20% increase in revenue generation.

- Led client meetings and reviewed 10+ resumes, headshots, and reels to survey potential fit on roster- Submitted 100+ actors on Breakdowns for roles and projects- Scouted talent at local showcases- Completed script coverage for fielded scripts

- Built and compared performance between multiple machine learning models in Python using Pycaret, PySpark, and XGBoost to identify accounts likely to commit deposit fraud and presented findings to PNC senior management- Created 10+ reports for senior management evaluating the model performance of a machine learning model designed to identify payment reversal fraud- Identified 5+ features of fraudulent accounts to implement into the next version of the payment reversals fraud model

Front desk receptionist and food pantry/farm stand volunteer

- Implemented a SAS program deploying SQL to clean and analyze New York State Organ Donor Registry removal requests data with over 7MM observations and fill in missing data- Generated 10 reports employing SQL and Excel to evaluate overall data quality for variables requiring free-form text entry such as address information and reasons for removal and presented reports to senior management- Developed a program assigning counties to 7MM observations based on zip codes and street addresses retained to continue populating county variables of future removal request data

- Directed an entrepreneurial business utilizing convolutional neural networks, artificial intelligence, and an extensive X-ray database to assist hundreds of healthcare professionals in detecting skeletal anomalies- Managed and communicated with a team of 10 suppliers, software engineers, and product developers to create custom orthotics

Game Development and Design Program