Machine Learning Social Media
Resume:
Geena Limfat
EDUCATION
UNIVERSITY OF CALIFORNIA, SAN DIEGO San Diego, CA Bachelor of Science in Cognitive Science specializing in Machine Learning Minor in Computer Science 2021 - 2024
● Relevant Coursework: Data Science, Data Structures, Computer Systems, Unsupervised Machine Learning, Supervised Machine Learning, Shell Scripting, Discrete Mathematics, Design and Analysis of Algorithms
● Skills: SQL, C, C++, HTML, CSS, Javascript, Java, Python, Swift, Git, PyTorch, TensorFlow, Figma, Linux WORK EXPERIENCE
ZAFRENS - BIOTECH San Diego, CA
Machine Learning Intern: JUNE 2024 - September 2024
● Conducted an experiment to compare Circle IOU vs. Box IOU in Non-Maximum Suppression algorithms for object detection, analyzing the impact on accuracy
● Improved and optimized autofocus model performance by integrating residual layers and ReZero into convolutional neural networks for better runtime and results
● Improved workflow efficiency by reconfiguring preprocessing program to enable microscope output data compatibility with the autofocus model
● Delivered educational presentations on convolutional neural networks, providing technical insights to the company on in-house models
DORSAL.FYI - FINTECH San Francisco, CA
Project Management Intern: April 2024 - September 2024
● Designed and built MVP to pitch to potential investors, showcasing key features and product potential
● Developed wireframes for product workflow, integrating feedback to enhance product features
● Reviewed and edited slide decks targeted at potential investor, ensuring clear messaging and alignment with product goals and highlighting features with high market potential PROJECTS
Suicide Risk Identification Model
● Utilized Principal Component Analysis (PCA), K-Means, DBSCAN, and Gaussian Mixture Models (GMM) to analyze a dataset of social media posts to predict the likelihood of posts being related to suicidal ideation
● Demonstrated the potential of machine learning in identifying suicidal content in social media texts, achieving high accuracy with PCA and K-Means clustering
● Led team scheduling and progress checks to ensure alignment and utilized instructor feedback to refine the project approach.
Analyzing Public Transportation's Influence on Car Accidents in California Cities
● Investigated the impact of public transportation usage on car accidents in California cities through data analysis and linear regression modeling using Pandas, NumPy, Matplotlib, Seaborn, Patsy, and Statsmodels
● Utilized linear regression to examine the relationship between public transportation usage and both the occurrence rate and severity of car accidents
● Coordinated group schedules and maintained consistent communication to align objectives and meet deadlines
ACTIVITIES
Code With Her: Volunteer
● Designed and led a cultural workshop on lantern construction and LED coding, while resolving circuit board compatibility issues to ensure functionality.
● Developed detailed project proposals and assembled 50 circuit boards within a tight deadline. Women in Computing: Active Member
● Contributed to web development team projects, organizing roles and tasks during team meetings
● Engaged in skills workshops and general body meetings to further technical and leadership skills Edge (WIC affiliated): Mentor
● Advised a high school mentee on the college application process, providing insights on majors and application requirements
● Reviewed and suggested edits for college essays, offering constructive feedback to strengthen applications
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