- Devoted time to meetings with research group 2 months before start date to prepare for internship- Coded robust AI model measured at 80% accuracy to predict a Reddit user joining hate groups based on past activity- Built data pipeline to collect, clean, manipulate, and embed text data for 100k+ Reddit users for use in AI model using PyTorch, pandas, and Tensorflow- Created script to visualize social media trends after extremist events- Utilized remote Linux environment and GitHub to access and control daily work- Presented work at Southern California REU Symposium at USC ICT- Provided resources and guidance to new undergraduate in research lab to help them increase familiarity - Polished text-processing pipeline and AI model by collecting data from 50K new users to increase accuracy and specificity- Employed Python to analyze user text to make graphs comparing user sentiments and emotion for non-hate and hate users with matplotlib, pandas, and NRCLex- Collaborating with lab to write research paper to submit to a national research conference in the Spring

- Assisted graduate researchers in development of sensor chips that detect disease indicating compounds in exhaled breath- Collected air samples around Rubbertown, Louisville- Measured and recorded sensor chip’s electrical resistance to observe the variation in the sensor’s signal- Passed air samples through the chips and analyzed samples through gas chromatography to determine the sensor’s sensitivity- Reshaped data arrays using Pandas and created a function to export Pandas data frames to an organized excel file- Utilized Pandas, Keras, and Tensorflow to create algorithm to predict COVID-19 diagnosis from exhaled breath dataset- Modified process to include automated saving and file combination to improve efficiency of analysis- Scheduled weekly meetings, updates, and code tests

As Project Manager- Selected to manage 5 other STEM interns in creating a new product called SafeSpace- Assigned roles to each intern such as wireframing and managing social media- Directed second product called the Butterfly Project-Assembled and coordinated with local professors, teachers, and Microsoft Future of Work Initiative to help a local non-profit-Trained each in data cleaning, analysis, and visualization in order to provide non-profit with data- Provided non-profit with new means of collecting data and presentations with visualized data and research- Presented to different community and other non-profit leadersAs SWE Intern- Built the front end of SafeSpace website using HTML and CSS- Implemented wireframes from Miro with HTML and CSS- Learned Django (Python) framework and collaborated to make website interactive- Designed new training curriculum for future web-developer interns and used it to teach other STEM interns and educators during the Butterfly Project- Boosted interest in program’s web-development offering by 13% by crafting and teaching new curriculum- Launched and showcased product to community members