Working under Dr. Stefano Bertozzi (UC Berkeley), writing software for an open-access journal to accelerate the curationand peer review of infectious disease-related research, allowing scientists to study diseases such as COVID more efficiently• Developing code to scrape, summarize, and classify research into categories to make them easier to access and review• Finetuning GPT-4 LLM on papers to improve classification, enabling scientists to use AI to categorize papers accurately

Responsible for creating and executing activities to facilitate member retention. Responsible for facilitating the recruitment for the Spring 2024 analyst class, as well as the management and well-being of the club overall, alongside the rest of the Executive Board.

Managing a team of business analysts to conduct research, analysis, and implementation of business strategies for a client. Directed recruitment operations to facilitate a new class of analysts.

Developing code to read and extract disposition of rearrest information, and translate into quantifiable values. Using machine learning techniques to identify trends and relationships within the extracted dataset to predict risk of re-offence

Executed all aspects of the data science life cycle, from business understanding to model deployment, to develop advancedalgorithms and solutions within ADI’s analytics platforms, increasing product yield and reducing manufacturing costs• Leveraged Advanced Analytics methods, including AI and ML, to produce automation solutions which improve operationalefficiencies in Manufacturing Test Operations and Yield Engineering, delivering higher ROI• Developed ML classification model in Python to identify semi-conductor wafers at risk of low yield with 88% accuracy• Developed application to automate synthesis of various types of manufacturing test data (Probe, PCM) to optimize analysis

Developed reactive microservices in Java to efficiently control and synchronize robots to automate the processing of orders• Resolved a critical log pipeline buildup issue causing data loss by using KQL to identify bottlenecks, consulting domainexperts, and refining the codebase to reduce data clog by 25% and developing safeguards for crucial data communication.• Implemented a robust solution to send and receive data from the live system, leveraging webserver REST endpoints andKafka events to create seamless data exchange and access. Created automated tests, achieving 100% code coverage• Obtained full stack experience by developing hands off automation for build, installation, startup, testing, and teardown

Delivered data analytics services to Crown Castle to vastly improve proactive customer service and satisfaction.Addressed revenue recognition challenges by conducting extensive data analysis to determine specific overpayments and issue corresponding refunds.Improved data quality by systematically mining and resolving data errors and missing data records.Engaged with customers directly to resolve key financial issues.

Taught Python and 3D printing to middle school age kids. Designed curriculum around Python.

http://www.violinbarry.com