Emily Gelchie

Microsoft AI Development Acceleration Program (MAIDAP) is a full-time program that fast-tracks AI and machine learning innovation across Microsoft. Participants collaborate with top engineers, researchers, and product teams to develop and scale AI solutions that drive business impact.

• Developed quantitative trade strategy for the Chinese sugar market, leveraging soft arbitrage and futures contract pricing analysis using Python, Bloomberg, and Pandas. • Engineered Bokeh dashboard to visualize real-time arbitrage opportunities, analyzing sugar vs. ethanol production in Brazil. • Conducted in-depth futures contract pricing analysis to identify trading signals, utilizing advanced quantitative methods and financial tools for optimized trade execution.

Conducted comprehensive data extraction and analysis on criminal indictments and docket sheets in collaboration with the Puerto Rico Association of Criminal Defense Lawyers, contributing to an amicus brief for the US Supreme Court Developed custom scripts to efficiently mine valuable legal data, such as case durations, attorney representation rates, and sentence lengths, enhancing the project's scope and reliability Applied advanced data cleaning techniques to ensure the accuracy of extracted data, enabling robust statistical analysis and contributing to the project's success Performed statistical analysis using sociodemographic data from the US Census, identifying key correlations and patterns that shed light on systemic issues within the justice system Created impactful data visualizations and reports to effectively communicate research findings, facilitating discussions around social justice issues Collaborated with local research groups and government entities to share insights, fostering a deeper understanding of the criminal justice system in Puerto Rico Contributed to the preparation of an amicus brief, providing data-driven insights that supported legal arguments and helped advocate for social justice reforms Received a $7,000 funding grant from Yale University for a proposal on "Statistical Analysis of criminal cases in the United States District Court of Puerto Rico," highlighting the project's significance and impact

• Led a team in designing and deploying automated cameras to monitor coastal erosion in Rhode Island, using advanced imaging and data analysis to support environmental conservation and aid affected coastal communities. • Engineered an autonomous, solar-powered image capture system with Raspberry Pi and CSI, automating hourly image acquisition and SFTP transfer via cron jobs and Python for efficient, real-time coastal data collection in Narragansett Bay. • Enhanced image quality using ‘raspistill’, adapting to environmental conditions, and implemented remote communication using a MightyMax battery and cellular networks for sustainable off-grid operation. • Analyzed collected imagery with AI models to derive insights from high-resolution coastal data.

Lead private instruction to individual students in Discrete Data Structures for 4 hrs per week to improve academic performance, improve syntax, or prepare labs. Provide feedback to students using positive reinforcement techniques to encourage, motivate, or build confidence in students. Prepare and facilitate tutoring workshops, and academic support sessions for small groups of students. Schedule tutoring appointments with students. Maintain regularly scheduled office hours to advise and assist students.

Lead private instruction to individual students in Intro to Computer Science for 3 hrs per week to improve academic performance, improve syntax, or prepare labs. Provide feedback to students using positive reinforcement techniques to encourage, motivate, or build confidence in students. Prepare and facilitate tutoring workshops, and academic support sessions for small groups of students. Schedule tutoring appointments with students. Maintain regularly scheduled office hours to advise and assist students.

Lead private instruction to individual students in Software Development for 3 hrs per week to improve academic performance, improve syntax, or prepare labs. Provide feedback to students using positive reinforcement techniques to encourage, motivate, or build confidence in students. Prepare and facilitate tutoring workshops, and academic support sessions for small groups of students. Schedule tutoring appointments with students. Maintain regularly scheduled office hours to advise and assist students.

● Spearheaded the rollout of the ISOP Reclaim Tool, the first Google Cloud Platform application in MyPGS, targeting $20.4MM in unclaimed funds ● Successfully onboarded 60 countries (100%) to the new ISOP Reclaim Tool, exceeding the initial target of 15 countries (25%) ● Conducted UX/UI research for ISOP Enrollment & Contribution Elections tool, used by 38.5k employees, leading to the creation of a new wireframe ● Developed and executed a user research plan, including international surveys and persona identification, to inform UX/UI design ● Contributed to the elimination of W-8BEN tax certification, streamlining the reclaim process for 43% of the outstanding reclaim population ● Achieved 100% onboarding and acceptance of new application, enabling the deletion of 22k reclaim transaction records from SAP ● Gained valuable skills in product management, user research, and global collaboration, reinforcing my interest in technology and business strategy

• Connect with relevant LDC Platform stakeholders to learn more about the trading industry. • Conduct beta-testing for the new LDCCropMonitor Remote Sensing Python package and provide team with constructive feedback. • Search for and identify crops in Ukraine using Google Earth Engine to aid in training the machine learning algo (90% accuracy). • Apply MapBiomas crop masks in LDC deforestation applications in Brazil and Argentina.

• Worked among a team of professional software developers to construct a mask using Google Earth Engine which represented crop conditions worldwide using data collected by farmers. • Created a software using predictive analysis to determine the future conditions of the crops based on previous conditions and local weather patterns to then predict market prices for the commodities in upcoming years.

Merit Scholarship Recipient

Major: Computer Science Minors: Data Science, Mathematics, and Political Science Summa Cum Laude

Exchange Semester in Copenhagen, Denmark concentrating in Artificial Neural Networks and Deep Learning. Traveled to 10 European countries throughout the semester.