Data Scientist

• Jul 2022 - Present

Deep Learning Research Intern

• Nov 2021 - Jun 2022

• Developing a motion monitoring system that utilizes deep learning models (LSTM, CNN) to accurately monitor and predict patient motion. • Performing testing to evaluate model robustness (PyTorch) and clearly communicate results. • Developing a motion monitoring system that utilizes deep learning models (LSTM, CNN) to accurately monitor and predict patient motion. • Performing testing to evaluate model robustness (PyTorch) and clearly communicate results.

Data Analysis Tutor

• Feb 2021 - May 2021

• Conducted 1 on 1 peer tutoring sessions for the course "Data Analysis", an applied regression course in R (ggplot2, tidyverse, dplyr, knitr)• Explained topics such as linear regression, maximum likelihood estimation, ANOVA, model building, and model transformations in a clear and concise manner

Undergraduate Research Assistant

• Jan 2021 - May 2021

• Cleaned a dataset for an art history research project using R (dplyr, tidyverse).• Fit a linear mixed effects model to the data and created visualizations to identify the reasons for suspicious antiquities appraisal patterns using R (ggplot2, car, lme4). Created reports using knitr in R.

Data Analyst Intern (Materials Department)

• May 2020 - Aug 2020

• Synthesized and visualized insights from data in a meaningful, lucid manner using Spotfire • Published an interactive tool on Spotfire that predicts the cost to serve a customer based on real-time data, creating a new method for shipping managers to make on-the-go decisions • Synthesized and visualized insights from data in a meaningful, lucid manner using Spotfire • Published an interactive tool on Spotfire that predicts the cost to serve a customer based on real-time data, creating a new method for shipping managers to make on-the-go decisions

Finance Department Intern

• Jul 2019 - Aug 2019

• Provided administrative support to a small team involved in the process of diligently identifying, chronicling, and destroying documents dating back to 1945 in accordance with the legal stipulations of the Rhode Island Records Retention Schedule • Created advanced Excel formulas to streamline the process (Pivot Tables, If Statements, etc.) • Provided administrative support to a small team involved in the process of diligently identifying, chronicling, and destroying documents dating back to 1945 in accordance with the legal stipulations of the Rhode Island Records Retention Schedule • Created advanced Excel formulas to streamline the process (Pivot Tables, If Statements, etc.)