Machine Learning Engineer

• Aug 2023 - Present

Data Scientist

• Apr 2022 - Jun 2023

- Improved Medicare and Medicaid eligibility prediction accuracy by 20% within Limetree’s ML pipelines. - Increased recall by 11% using boosted decision tree algorithms, predicting response to marketing campaigns. - Created software to visualize target regions for campaign events using Python (GeoPandas) and PostgreSQL, saving 30 minutes per analyst. - Presented ad hoc analytics reports to senior management and key stakeholders using Power BI, PowerPoint, and Excel. - Improved Medicare and Medicaid eligibility prediction accuracy by 20% within Limetree’s ML pipelines. - Increased recall by 11% using boosted decision tree algorithms, predicting response to marketing campaigns. - Created software to visualize target regions for campaign events using Python (GeoPandas) and PostgreSQL, saving 30 minutes per analyst. - Presented ad hoc analytics reports to senior management and key stakeholders using Power BI, PowerPoint, and Excel.

Graduate Teaching Assistant & Instructor

• Aug 2018 - Apr 2022

- Simplified Statistical and Machine Learning concepts in Calculus, average rating of 4.1/5. - Delivered final grades to meet end-of-term deadlines for 250+ final exams. - Coordinated a 2-part webinar on the math behind relational databases and SQL queries. - Launched an online visualization of integral and derivative steps using Django Framework. - Developed a calculus chatbot for students using NLP methods (tokenization, lemmatization, bag-of-words), which includes 75 responses. - Simplified Statistical and Machine Learning concepts in Calculus, average rating of 4.1/5. - Delivered final grades to meet end-of-term deadlines for 250+ final exams. - Coordinated a 2-part webinar on the math behind relational databases and SQL queries. - Launched an online visualization of integral and derivative steps using Django Framework. - Developed a calculus chatbot for students using NLP methods (tokenization, lemmatization, bag-of-words), which includes 75 responses.

Data Science & Machine Learning Student

• Aug 2021 - Jan 2022

- Optimized promotion targeting for Starbucks' data with a 125% increase in f1 score. - Created charts, graphs, and dashboards to visualize and analyze data using Tableau. - Applied hyperparameter tuning to refine ResNet-18 convolutional neural network. - Optimized promotion targeting for Starbucks' data with a 125% increase in f1 score. - Created charts, graphs, and dashboards to visualize and analyze data using Tableau. - Applied hyperparameter tuning to refine ResNet-18 convolutional neural network.

Software Engineer

• Nov 2020 - Apr 2021

- Designed NoSQL database schemas for doctor-patient models using Amazon web services, team of 5. - Programmed APIs to retrieve client information, such as the 20 most recent patient notes. - Designed NoSQL database schemas for doctor-patient models using Amazon web services, team of 5. - Programmed APIs to retrieve client information, such as the 20 most recent patient notes.

Mathematics, Statistics, Programming Tutor

• Aug 2018 - Nov 2020

- Tutored in Calculus, Probability, Statistics, and Linear Algebra with 1-5 students at a time. - Implemented Python and Matlab code to demonstrate distributions, linear regression, and basic simulations. - Tutored in Calculus, Probability, Statistics, and Linear Algebra with 1-5 students at a time. - Implemented Python and Matlab code to demonstrate distributions, linear regression, and basic simulations.

Researcher Computer Science & Mathematics

• Aug 2016 - Jun 2017

- Researched under Dr. Ettore Aldrovandi's supervision and proved binary trees satisfy the tamari ordering. - Awarded Honors in the Major by defending an undergraduate thesis, including 100+ lines of code. - Researched under Dr. Ettore Aldrovandi's supervision and proved binary trees satisfy the tamari ordering. - Awarded Honors in the Major by defending an undergraduate thesis, including 100+ lines of code.