- Led a team of 8 data consultants to develop a machine learning model utilizing Python (SciPy and scikit-learn) for the demand of 80,000+ hardware products based on features such as price and industry trends for a previous Fortune 1000 Hardware Company. - Led the development of an automated web scraper for a prominent Fortune 500 Scientific Technology Company using Python (Selenium and Beautiful Soup) to collect the descriptions of 16,000+ LinkedIn job postings from competitor companies, automatically storing data and updating daily in a Firebase Realtime Database. - Utilized Python (Matplotlib and seaborn) to develop a dashboard displaying time series and data visualizations, updating as new data is scraped, to help the Fortune 500 Scientific Technology Client understand their competitors’ hiring trends and strategies. - Developed an R Shiny app for data collection and automatic generation of data visualizations to quantitatively measure causal links to clinical patient experience for a leading Fortune 500 Biotechnology Company.

Bloomberg Center for Cities at Harvard University and Harvard IOP Director's Internship Program - Worked on software development projects in the Office of Analytics, Performance, and Innovation. - Utilized Python (Flask), SQL, and Bootstrap to develop an interactive database web application, hosted using Microsoft Azure, allowing for engineers to easily search and edit information for 10,000+ monuments and buildings in a user-friendly interface. - Integrated multiple Azure SQL databases with the web application, ensuring it can be scaled and utilized for different databases. - Implemented the front-end for the automated emailing system using HTML, CSS, and Bootstrap based on Figma designs.

Research Project: Developing the EZ-MMLA toolkit, an app containing multimodal data collection algorithms. - Utilized Python, SQL, and JavaScript to build a forum system for users to post questions and replies and search for and filter posts. - Integrated text editor using Quill.js API and developed back-end code framework for recording user views and votes for each post. - Developed back-end of automated emailing system using Flask-Mail API, notifying authors of replies to posts.

- Utilized React.js and Firebase to develop web components and features for the chat functionality of Datamatch, a matchmaking web application used by over 50,000 students from over 25 universities across the nation. - Improved the chat functionality of the app to include automatic conversation starters which populate the chat field for users to select from in the form of a pop-up modal containing randomized clickable cards based on Figma designs. - Implemented updates to the user interface of the main profiles page, ensuring increased responsiveness to mobile devices.

Healthcare Nonprofit Client Project: Restructure clinical data and develop 45+ data visualizations. - Utilized Python (Pandas and NumPy) to reorganize and restructure clinical data collected by Miracle of Help, a nonprofit focused on improving the healthcare in Sierra Leone. - Developed 45+ data visualizations, including line charts, bar plots, and pie charts, to help evaluate the impact of the nonprofit organization and predict needs in Sierra Leone with respect to geography, disease, and patient demographics. - Met with the president and clinical faculty monthly to present progress; client was highly satisfied with the data visualizations.