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Travis Davis is listed as Electrical Engineering - Machine Learning and Controls, UC San Diego at AgingNext, based in Los Angeles Metropolitan Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Travis Davis.
Travis Davis previously worked as Database Coordinator at Agingnext and Catering Assistant at Adoro Catering. Travis Davis holds Electrical Engineering, Machine Learning And Controls from Uc San Diego.
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I am an Electrical and Computer Engineering graduate of University of California, San Diego. I am eager to showcase both my hardware and software skills to companies working on ambitious projects. I have extensive knowledge in a variety of coding languages, experience in electrical circuit manufacturing, and the ability to work collaboratively among other team members specializing in different disciplines. While I am confident in my own abilities, I am excited to learn something new from veteran employees as well.
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Claremont, California, United States
Modernizing and organizing records using Salesforce, enhancing the overall operational efficiency of AgingNext. - Review existing records, ensuring data accuracy, and updating outdated or missing information. - Structure database to make it more user friendly and accessible, streamlining access to critical information.- Organize and categorize records to.
Rosemead, California, United States
Responsible for duties essential to the successful execution of catering events. Tasks included setting up events by arranging tables, chairs, linens, and serving stations according to client specifications and event plans. - Serve food and beverages to guests, ensuring proper portions and presentation standards were maintained while providing customer.
San Diego, California, United States
Continued my research following the conclusion of the SURF program by implementing machine learning methods into my research using MATLAB and Pytorch. - Developed a program that observes data in a time series and uses said data to predict whether or not a reversal will occur within a specified time range. - Summarized findings in a scientific paper.
San Diego, California, United States
This experience began as part of the Scripps Undergraduate Research Fellowship Program supported by the National Science Foundation.- Used Python to develop a program that runs Runge Kutta simulations, plots time series, predicts reversals in magnetic dipole data and other chaotic mathematical models. - Presented my results as a poster to faculty at.
Claremont, California, United States
Developed a program analyzing hysteretic properties of perovskite solar cells. - Used LABVIEW to develop a virtual instrument that runs voltage sweeps with variable voltage speed and plots current-voltage graphs to better observe and measure the inherent hysteretic properties of perovskite solar cells. - Collected current-voltage data using a Keithley 2400.
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Travis Davis works for AgingNext.
Travis Davis is listed as Electrical Engineering - Machine Learning and Controls, UC San Diego at AgingNext.
Travis Davis is based in Los Angeles Metropolitan Area, United States, United States while working with AgingNext.
Travis Davis has worked for Agingnext, Adoro Catering, Scripps Institution Of Oceanography, and Pomona College.
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Travis Davis holds Electrical Engineering, Machine Learning And Controls from Uc San Diego.
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