With a solid foundation in data science and statistics, I have had the opportunity to explore a diverse range of applications across various fields, including aerospace technology, biofarming, criminal investigations, and marketing analysis. While my undergraduate education laid a solid groundwork, the real growth came from the opportunities outside of the classroom. Working in dynamic, innovative environments that embrace curiosity and encourage experimenting with new approaches has fueled my passion and allowed me to continuously evolve both personally and professionally. I thrive on developing data-driven solutions and leveraging machine learning innovation to solve interesting problems. These experiences have been incredibly rewarding and have deepened my appreciation for what I do.
Well3 Health
Developed and maintained Python-based backend logic to track, update, and manage prescription refill requests submitted via a Squarespace-integrated web platform.
Automated status tracking and progression of refill requests, including alerting mechanisms for stalled updates and patient notifications.
Ensured timely prescription fulfillment by implementing logic to update refill dates post-shipping and monitoring pharmacy processing activity.
Redesigned and implemented a full-stack React + Flask system to handle patient prescription requests, enable doctor verification, manage pharmacy submissions via API, and securely store data in Firestore.
Used Google Analytics to track user interactions, behavior flows, conversions, and traffic sources to optimize marketing strategies and improve website performance.
Analyzed target demographic data to isolate marketing regions and expand to produce medical accessibility to underserved communities using R.
Interstellar Lab
Developed and integrated machine learning models into a controlled biofarm simulation to predict system behavior and optimize energy consumption, utilizing object-oriented programming principles.
Designed Python-based computer vision algorithms for monocular depth estimation via MiDaS to calculate vertical plant growth and establish equations for virtual plant growth monitoring in the BioPod.
Built and optimized computer vision pipelines to correct camera distortion and accurately measure plant NDVI, designing the alert system implemented in BioPod Model Orion to enable effective health tracking.
Developed an API to analyze NDVI trends from camera images and issue alerts, along with a RESTful API to store the processed data in SQLite.
Built time series models to analyze how variables like weather patterns impact BioPod Model One, delivering data-driven insights to inform improvements for the next-generation product, Model Orion.
Trained a YOLO computer vision model to detect plant growth stages and identify the presence of flower buds, enabling optimized harvest timing.
Quickly learned new skills and disciplines to support cross-functional teams, including software, plant, and research engineering, applying knowledge across diverse fields to design innovative, technology-driven solutions.
One of my favorite projects at Interstellar Lab...
One of my favorite projects at Interstellar Lab was when I got to design an alert system to detect water stress in plants based on NDVI (Normalized Difference Vegetation Index) patterns, which is currently being integrated into the BioPod Model One for testing and eventual deployment in the upcoming Model Orion.
Working independently and without a budget, I built a full image processing pipeline that corrects lighting inconsistencies, extracts near-infrared and red light channels, and calculates pixel-level NDVI values. The system segments images to isolate plant regions, divides them according to the irrigation system layout, and analyzes NDVI trends by comparing the first value of the day to the previous day's final value.
When patterns suggesting water stress emerge, an automated alert is sent to the team via an API I developed, enabling timely interventions.
The most challenging pipeline I worked on...
The most complex pipeline I've worked on involved designing and coding a physics-based simulation for the next-generation BioPod at Interstellar Lab, where I developed the machine learning models that powered its autonomous decision-making system. This was implemented in Python using object-oriented programming principles. As the simulation ran, it displayed hourly predictions while tracking estimated energy consumption, which was determined through collaboration with research engineers to understand the energy usage patterns of each individual component. By analyzing historical weather data alongside data from the previous BioPod model, I identified trends that revealed how external temperature influenced internal conditions and, in turn, energy consumption. This analysis aimed to optimize energy efficiency and contribute to a more sustainable design. By developing a simulation of the new BioPod and an interface to adjust the starting conditions, we were able to assess the system's response to sensor triggers and its ability to adapt accordingly. This work was incredibly difficult and taught me a lot, but it was a highly rewarding experience that played a critical role in enabling full autonomy for the next iteration of the BioPod.
UCSB Data Science Collaborative
Managed budget, tracked expenditures, and optimized financial resource allocation.
Collaborated with executive team to develop and maintain a strong financial strategy, incorporating fundraising efforts and budget planning.
Oversaw financial reporting for transparency and UCSB policy compliance.
Mentored undergraduate students in data science passion projects, fostering a collaborative and supportive environment through communication and feedback.
Provided technical support on Python, R, SQL, SAS, Apache Spark, and mathematics and statistics inquiries.
San Mateo County Sheriff's Office
Employed advanced data analysis techniques using Microsoft Excel and R to analyze diverse crime datasets spanning multiple years. This analysis enabled the identification of critical patterns and trends, leading to the creation of comprehensive reports. These reports were distributed to all law enforcement departments as informational bulletins, providing updates about trends and recent notable activity.
Established and leveraged Open Source Intelligence (OSINT) tools to investigate social media accounts linked to active crimes. Applied OSINT tools using GitHub, Python, Command Prompt, and Visual Studio Code. These investigations provided critical insights into criminal activities, aiding law enforcement efforts to apprehend offenders.
Wrote an instructional handbook designed to educate Detectives and Crime Analysts in the technical utilization of OSINT tools. This resource helped colleagues explore new depths to their investigative potential and improve their overall efficiency.
Developed a user-friendly website to streamline the accessibility and utilization of OSINT code for Detectives and Crime Analysts. This initiative facilitated quick access to critical information, expediting investigative processes.
Utilized R to conduct in-depth analysis of international wire transfer data associated with suspected drug cartels. Used suspicious indicators to identify potentially fraudulent transfers and organized the data into Microsoft Excel spreadsheets for further scrutiny.
Well3 Health
Supported in-depth research and development efforts to better understand target demographics and inform marketing strategies for a startup focused on experimental and preventive medicine.
Worked closely with the company founder on strategic planning and logistics, helping identify challenges and brainstorm creative solutions.
Applied data analysis techniques, including R data visualization, to deeply examine target demographic trends.
Contributed to a data-driven expansion strategy that improved medical accessibility in underserved communities.
SEVA Travel Program
Co-founded a pioneering philanthropic travel program that empowered over numerous student groups to plan and fundraise for equitable, immersive academic service experiences.
Guided students to explore global issues they were passionate about, using the United Nations Sustainable Development Goals as a foundation for their projects.
Enabled students to engage in meaningful, community-driven service initiatives, cultivating a strong sense of global awareness and social responsibility
Co-wrote a comprehensive fifty-page guidebook designed to provide ongoing guidance for students to sustain the program following my high school graduation. This growing program continues to thrive and benefit students to this day.
Successfully planned, fundraised, and led a service trip to build facilities in Northern India to ensure a space for women to safely use the restroom at night, creating an environment that safeguards against sexual assault. This accomplishment marked a pivotal step towards enhancing the safety and equality of women in the region.