Resume
Work Experience
Apr. 2026 - Present
Atlanta, GA (Remote)
Data & Operations -
Multiband Studios
I currently work in Data & Operations at Multiband Studios, where I support the company’s operations, finance, client communication, production systems, and live-event workflows.
My role sits at the center of the company’s day-to-day operations. I help maintain the company’s Airtable-based Matrix system, which functions as the central hub for upcoming gigs and production information. Each entry in the Matrix represents an upcoming project or event and contains key information such as client details, event dates, locations, staffing needs, equipment requirements, production status, and internal notes. The system is connected to several other company tables and workflows, including automations for availability checks, team confirmations, rental equipment communication, and project tracking.
A major part of my work involves making sure this operational data stays accurate, complete, and useful. I help track new project entries, update gig information, coordinate staffing details, prepare equipment information for the rental manager, and ensure that the right people have the information they need before an event moves forward. I also manage executive calendars, schedule key meetings, help organize production and gig schedules, and attend BEO meetings with the National Center for Civil and Human Rights to stay aligned on upcoming event details and vendor needs.
I also support the financial side of the company. I create and send estimates for upcoming gigs, prepare invoices for completed work, reconcile books, and work in QuickBooks to help maintain accurate financial records. Many of the estimates I prepare are for clients hosting events at the National Center for Civil and Human Rights in Atlanta, where Multiband Studios serves as an official vendor. This has required me to understand the layout of the facility, the needs of different event spaces, A/V service options, equipment rental requirements, labor needs, and the quoting process for anything from a single-room event to a full facility buyout.
In addition to daily operations, I work directly with the CEO and CFO as part of an operations and finance team. Together, we discuss company finances, hiring, client relationships, upcoming events, internal systems, and future growth opportunities. I have contributed to planning conversations around a Multiband Music Festival, curated live sessions, company events, website restructuring, staff visibility, Airtable embeds, and improved internal workflows.
Nov. 2025 - Apr. 2026.
Santa Clarita, CA
Business Operations & AI Integration -
Santa Clarita Smile Design
At Santa Clarita Smile Design, I've built and maintained operational datasets in Google Sheets tracking lender outreach and application status (standardized fields, validation rules, status taxonomy) for accurate reporting and auditability.
Optimized recruiting workflows using Indeed analytics: monitored applicant volume and posting performance, adjusted sponsored budget for this office and 3 others (Healthy Smiles locations in Norwalk, Long Beach, and El Monte, California) based on manager feedback, screened resumes for requirements, and routed qualified candidates to managers across all four offices.
Implemented AI-assisted task automation (templated follow-ups, structured summaries, calendar scheduling) to reduce missed steps and speed turnaround across multi-threaded operational requests, allowing leadership to obtain relevant information efficiently.
Apr. 2024 - Nov. 2025
Data Analyst/Engineer -
Freelance
Over the past year, I have focused heavily on data engineering and analytics, building portfolio-grade projects, supporting early-stage startups, and sharpening my technical fluency across Python, Pandas, SQL, Tableau, and lightweight ETL workflows. With a background in Computer Science and software development, I approach data work with an emphasis on structure, scalability, and clear storytelling.
One of my key projects explored the relationship between NBA player performance and city temperature. What began as a small analysis of LeBron James evolved into a scalable Python and Pandas pipeline capable of analyzing temperature-adjusted performance across any NBA player’s career. The project incorporated scoring metrics such as Hollinger’s Game Score, home/away and conference weighting, and custom player groupings such as “Team Fire” and “Team Ice” to highlight athletes who perform best in hotter or colder cities.
I also created a professional HR analytics dashboard in Tableau, featuring more than 15 visualizations, interactive tooltips, layered data, and both executive-level summaries and employee-level drilldowns. The project strengthened my ability to design dashboards that are not only technically sound, but also intuitive, visually engaging, and useful for real-world decision-making.
In addition to personal projects, I completed freelance analytics work for early-stage startups and college capstone teams, delivering dashboards, visual assets, exploratory analyses, and basic data warehouse setups. I also continued building my foundation through practical SQL and data workflow training, reinforcing best practices used by working data professionals.
Overall, this period has been defined by learning through execution — building tangible, creative, and technically disciplined data projects that combine analytics, engineering, visualization, and problem-solving.
Dec. 2023 - Mar. 2024
Valencia, CA
Software Developer -
Ronan Systems Engineering
At Ronan Systems Engineering, I spearheaded the modernization of a mission-critical software system originally developed in the early 2000s — used in nuclear power facilities and safety-critical environments. This project required deep familiarity with legacy codebases, low-level system programming, and Microsoft frameworks.
I took full ownership of the migration effort, upgrading the codebase to align with Visual Studio 2024 Community standards and ensuring compatibility with modern development tools. Working in C++, MFC, COM, and low-level C, I enhanced performance, resolved memory issues, and introduced workflow automation features to streamline validation and deployment.
My role required autonomous time management and active collaboration with QA, hardware engineers, and domain specialists. I contributed directly to code reliability, system safety, and compliance adherence, while also introducing internal documentation and automated testing scripts to improve development efficiency and future maintainability.
Aug. 2022 -May. 2023
New York, NY
Fullstack Developer/Scrum Master
At Shoptaki, I led full-stack development on a health optimization mobile app — from whiteboard planning to working prototype — while also serving as Scrum Master to drive team performance in two-week sprints. The app aimed to centralize patient wellness data, medication schedules, and lifestyle insights into a streamlined user experience.
I designed and implemented the app architecture using React Native for cross-platform frontend development and Node.js, Firebase, and ArangoDB on the backend. I engineered seamless frontend-backend integration, designed responsive UIs, and managed real-time database automation for features such as medication reminders, intake tracking, and secure user authentication.
As Scrum Master, I coordinated sprint planning, calculated burndown velocity, and maintained Agile rituals that ensured consistent delivery. I worked directly with the CEO to translate product vision into engineering tasks, optimized workflow pipelines, and built custom database queries to support metrics and reporting.
Aug. 2021 -Mar. 2022
Tempe, AZ
Researcher & Developer
At Arizona State University – Cognitive Science Lab (Memory & Attention Control), in this hybrid research and development role, I contributed to a pioneering initiative examining the integration of programming into cognitive psychology research. I co-led workshops for graduate students using Python for Experimental Psychologists, teaching them how to design and execute studies with Python. These students went on to publish several of their projects in academic journals, showcasing the tangible impact of our curriculum.
Working directly with the department chair, I helped design and implement a C++ prototype for reaction time testing in athletes, targeted specifically at baseball players. The application measured microsecond-level inputs and analyzed reaction metrics relevant to scouting, performance enhancement, and sports science. The project aimed to scale to professional leagues like the MLB and was an early foray into building data-centric tools for athletic assessment.
In addition to teaching and development, I participated in internal lab meetings to refine data pipelines, improve code efficiency, and test prototype integrity — applying a blend of research logic and engineering rigor.
Apr. 2021 -Aug. 2022
Tempe, AZ
Behavioral Data Analyst & Researcher
At Arizona State University's Canine Science Collaboratory, and in partnership with the ASPCA, I served as a data analyst and behavioral researcher for a large-scale study on human-dog interaction patterns. I led structured observation sessions and handled the collection, cleaning, and preparation of behavioral data in Excel — resulting in thousands of data points that fed into peer-reviewed scientific studies.
I applied basic ETL principles (extracting data from observation, transforming for analysis, and loading into visualization formats) and prepared data for use in Excel-based dashboards that allowed collaborators to identify trends in temperament, responsiveness, and social behaviors.
It served as an early hands-on introduction to the impact of data quality and real-world modeling on long-term outcomes, as this work was part of scientific publications.
Education
2019 - 2023
Arizona State University -
Fulton Schools of Engineering |
B.S - Computer Science
Relevant Coursework: Foundations of Machine Learning, Database Management (SQL), Data Structures and Algorithms (C++), Foundations of Data Visualization (JS/HTML/CSS), Software QA and Testing (Java),
2021 - 2023
Arizona State University -
College of Liberal Arts & Sciences |
Minor - Psychology
Relevant Coursework: Advanced Psychological Research Methods (Excel, Scraping), Personality Theory and Research
2023
Udemy (Jonas Schmedtmann) - The Complete Javascript Course
68.5 hrs of coursework: JavaScript (ES6+), HTML/CSS, API integration, data querying projects, games and full scale websites.
Skills & Expertise
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Languages/Tools: Airtable, Quickbooks, Google Sheets, Python (Pandas, Jupyter), SQL (MySQL), Tableau, Excel, Git
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Data: Data Cleaning + Warehousing, Visualization, Dashboarding, Exploratory Analysis, RESTful APIs
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Other: Project Management, Agile/Scrum, Data Storytelling, C++, C#, Javascript/HTML/CSS