Founded in 2016, Car IQ is a fleet payment solution that eliminates the credit card by leveraging vehicle telematics data to allow vehicles to autonomously & securely complete transactions for services including fuel, tolls, parking, and more.- Testing & aiding development of Car IQ's unique authentication and identity systems- Analyzing fuel station and pricing data to integrate new data sources into the Car IQ platform- Developing custom data products and services

Completed an intensive 14-week accredited data science and machine learning bootcamp focused on Python programming, machine learning, data visualization, project design, and communication. Designed, implemented, and presented the following projects:Eco-Acoustic Monitoring of Endangered Species - Rare species detection in dense ecosystems is central to climate change and conservation monitoring. CNNs enable real-time processing to predict bird and frog species by converting the audio to Mel spectrogram images within a deep learning pipeline.The Cleanest Time to Clean - Using the WattTime API to query, ingest, and process MOER (Marginal Operating Emissions Rate) values over time, created an interactive webpage to visualize the times of day with lower MOER values, showing when using electricity will produce fewer emissions.Match My Music - Created a music recommendation model based on the lyrics and mood of songs using unsupervised learning methods and topic modeling.Interpreting Music Genres - Predicted songs' genres with classification algorithms using both lyric analysis and musical features of the songs.Expanding the Community - Combined Project Sunroof data with DeepSolar data to visualize and identify low-income areas that would benefit most from single-family and community shared solar arrays. Interpreting Greenhouse Gas Emissions - Built a linear regression model to interpret countries' greenhouse gas emissions based on social, economic, and geographic data collected via web scraping.

Accomplished instructing diverse students with broad foundations in music, different training levels, as well as varying musical strengths and weaknesses. Lessons included playing music from standard staff notation, rhythm skills, sight-reading, theory, eurhythmics, solfege, and improvisation.

- Launched several Xilinx FPGA-based emulations of networking chips for the design and debug phases of product development.- Headed the design and development of circuit boards to enable validation of custom integrated circuits and hardware emulation.- Validated chips by creating test plans, running test suites, and completing test reports and formal reviews. - Designed and verified a networking chip by completing micro-architecture, RTL coding, and verification.- Completed the synthesis and mapping of chip designs to FPGAs for emulation and testing of the chip pre-fabrication. - Worked comfortably in diverse teams, bringing an inclusive, open-minded attitude to work.- Thrived as a flexible team player with the ability to effectively prioritize and juggle multiple projects.