Currently a data & applied scientist for Cloud Capacity Planning’s demand forecasting team.- On a monthly basis, produce a 24-month vCore usage forecast for 12 customers in Microsoft’s Data Intelligence group, representing almost 11% of Azure Compute- Maintain relationships with 4 engineering groups to ensure the forecasts adequately capture upcoming VM migrations for all customers. Enabling these migrations resulted in savings of nearly $78M in fiscal year 2024.- Designed and implemented a Cross-Resource-Type Multiple Linear Regression model in R that utilizes a customer's growth on one resource to predict their growth on another. Backtesting this model prototype against previously used models saw a 25% decrease in MAPE for the customer.

Served as the student lead for the Georgia Tech ISyE department’s Center for Academics, Success, and Equity (CASE). Created and managed initiatives throughout the ISyE department that promote all-around success for students and faculty. Responsibilities include:- Managing the ISyE tutoring center- Co-leading the mentIEs program that connects undergraduate students with alumnus mentors - Organizing success workshops for students on soft skills, how to build your personal brand, and more

Teaching assistant for ISYE 2027: Probability with ApplicationsResponsibilities include:- Holding office hours to answer questions and review exam material- Grading quizzes and exams- Lecturing for 2 units and proctoring exams

- Served on a team of students to help organize Georgia Tech’s annual HackGT hackathon and other programming outreach projects throughout the year.- Coordinated the events, order food, plan venues, and manage schedules for all participants. - Designed and taught a course in entrepreneurship and product design on the curriculum team for Catalyst, a STEM outreach program that teaches programming concepts to high schoolers in the Atlanta area.

-Selected among 2289 global applicants for the 65-member inaugural cohort of the future analytics stars program-Mentored by leaders in data science across the league-Scraped engagement data from NBA affiliate league twitters and built a regression model that determines the best time to post different types of media to get up to 200% more engagement-Voted second best out of 10 teams who presented final data science projects to NBA leaders

-Interned within the Capacity, Supply Chain & Provisioning (CSCP) branch on the Cloud Capacity Planning team-Consulted members of the CP team on their primary tasks, the time taken to perform each task, major difficulties they face, and the value added to Microsoft’s planning process -Performed MAPE and MPE analysis on 50 FY21 rack plan data snapshots at 4 key steps (after the system runs inputs and executes a rack plan, after 2 different key planning steps, and after the final plan is published) to determine the value added or destroyed by each step in the capacity planning process-Recommended process changes and improvements to decrease average error by 8% and average bias by 12%

Assisted in projects such as developing a company-wide tutorial website for new employees, organizing and preparing data for the transfer to new programs using SQL, and providing technical support and service to other employees.

Inputted licensee data into the current computer systems, organized applications within the newly implemented programs, and reviewed licenses applications for the company.