- Ideate and film creative reels to promote events hosted by the AI Student Collective (AISC)- Participate in weekly team standups to brainstorm a content plan to maximize outreach- Optimize student engagement and retention on AISC's discord server of over 500+ UC Davis students through advertising AISC's events, posting community announcements, as well as fostering AI-based discussion- Help manage and develop AISC's Instagram account of over 1,000+ followers

- Formulating an event schedule for ColorStack through external outreach to potential partners, such as Humane Inc.- Campaigning ColorStack events by posting flyers and relaying in-class announcements, aimed at fostering a welcoming environment to provide technical education for Black and Latinx computer science students

- Analyzing touchpoints across Calix's programs and platforms to find patterns for key customer segments regarding their educational content needs- Content Lifecycle Management: Creating and updating Calix Customer Education content for specific personas, including the development of mobile microlearning modules, and working with content owners to sunset old material- Working with a variety of internal departments to update key educational content and extend the reach of current… Show more - Analyzing touchpoints across Calix's programs and platforms to find patterns for key customer segments regarding their educational content needs- Content Lifecycle Management: Creating and updating Calix Customer Education content for specific personas, including the development of mobile microlearning modules, and working with content owners to sunset old material- Working with a variety of internal departments to update key educational content and extend the reach of current materials into the Calix Community and beyond- Assisting with administration and optimization of the company's core learning management system Show less

- Worked as an AI/ML developer on CourtCheck, a real-time tennis out-of-bounds detection app aimed at increasing fair play in collegiate and recreational tennis matches- Developed a Python algorithm to identify the location of the tennis ball, both players on the court, and prominent court point coordinates for thousands of images- TrackNet was used to detect the ball and extrapolate the ball's trajectory from image to image, clipping them together to create a seamless video of the… Show more - Worked as an AI/ML developer on CourtCheck, a real-time tennis out-of-bounds detection app aimed at increasing fair play in collegiate and recreational tennis matches- Developed a Python algorithm to identify the location of the tennis ball, both players on the court, and prominent court point coordinates for thousands of images- TrackNet was used to detect the ball and extrapolate the ball's trajectory from image to image, clipping them together to create a seamless video of the ball's movement- Utilized a YOLOv8 object detection algorithm to detect the movement of the players from clip to clip, labeling either player as 'player 1' or 'player 2'- Implemented a Detectron2 algorithm for the detection of the court's corner points, aiding in ball out-of-bounds detection- Presented our project in the Aggie Sports Analytics Spring 2024 Case Competition, winning 2nd place while competing against 12 other teams Show less

- Led a team of five student associates to build 'BeatCasso', an advanced song recommendation system based on user-specified criteria, such as valence, liveness, energy, acousticness, danceability, instrumentalness, & speechiness- Used pandas and scikit-learn to develop a K-Nearest Neighbors weighted classification algorithm- Utilized CSS, HTML, and Flask to construct a functional webpage allowing users to find song recommendations tailored to them- Presented our project in two… Show more - Led a team of five student associates to build 'BeatCasso', an advanced song recommendation system based on user-specified criteria, such as valence, liveness, energy, acousticness, danceability, instrumentalness, & speechiness- Used pandas and scikit-learn to develop a K-Nearest Neighbors weighted classification algorithm- Utilized CSS, HTML, and Flask to construct a functional webpage allowing users to find song recommendations tailored to them- Presented our project in two different showcases, one in March and one in June, winning the "Best Product Pitch" award as well as the "Most Innovative Project" award Show less

- Worked in a team of nine as a student developer to build a tool for our client, MyEdMaster, that conducts semantic analysis on Amazon's "health and wellness" product listings- Webscraped data using BeautifulSoup and conducted correspondence analysis using Plotnine- Used Support Vector Classification (SVC) and tf-idf vectorization to predict sentiments for keywords

- Used sheets & and Excel to group, parse, and process customer data into nZero's stored database to propel sustainability and reach a net zero carbon footprint- Predictive Modeling: Used ggplot and dplyr (tidyverse) in RStudio to build visualizations that forecast future natural gas usage rates for certain clients based on prior usage data- Collaborated with product marketing and technology teams to demonstrate the app and the company’s goals to potential customers, including the… Show more - Used sheets & and Excel to group, parse, and process customer data into nZero's stored database to propel sustainability and reach a net zero carbon footprint- Predictive Modeling: Used ggplot and dplyr (tidyverse) in RStudio to build visualizations that forecast future natural gas usage rates for certain clients based on prior usage data- Collaborated with product marketing and technology teams to demonstrate the app and the company’s goals to potential customers, including the Golden State Warriors- Wall & Roof Retrofitting: Worked under the data science team to program environmentally efficient wall and roof insulation retrofits using seaborn and CPLEX optimization in Python Show less

- Auditioned for the fall 2022 short film series and got selected to act in the "Emotions Anthology Series - Anger" production- Participated in weekly meetings to learn about camerawork, screenplay, and acting

- Interned for U.S House Representative, Josh Harder, to promote his campaign and find donors- Used PowerBI and Tableau to store and visualize prior donation history towards Harder’s campaign

- Led a group of 4 research interns on a natural language processing (NLP) project aimed at assessing political biases in newspapers- Built an algorithm to analyze articles ranging from months to years in the past- Tokenized keywords using NLTK, and used SpaCy for lemmatization of inflected keywords- Presented our findings to the ASDRP program, consisting of 150+ research students

- Led a group of five research interns to study settlement distribution patterns of invertebrate species across California Coastlines- Used correlation matrices, heatmaps, Random Forests, & K-Means Clustering to conduct statistical analysis- RStudio, NumPy, and Pandas were used to clean data and make visualizations- Presented our findings to the ASDRP program, consisting of 150+ research students