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About Me

Specialize in Python development, data analysis, and machine learning, with experience building automated workflows, predictive models, and interactive dashboards that turn complex data into clear, actionable insights. My background includes leading development projects, streamlining data processes, and collaborating across teams to improve efficiency and decision-making.

Outside of work, I enjoy tackling side projects that blend problem-solving with creativity. I like to experiment with small scale automation tools and new technologies. I’m always looking for opportunities to learn, grow, and apply my skills in a dynamic environment.


Projects


What I’m Looking for

Entry-level roles in data analysis, Python development, or machine learning engineering where I can automate workflows, build predictive models, and reveal insightful information using Python, SQL. Seeking opportunities to collaborate on data pipelines, ETL processes, and QA automation in dynamic teams. Open to remote, hybrid, or in-person positions in the US.


Lead Developer

University of Maryland, iConsultancy | Aug 2024 – December 2024

As the Lead Developer and Project Manager for the iConsultancy’s Data Transformation project, I led a student team in converting raw Qualtrics survey data into interactive Tableau dashboards. I managed the project by assigning roles, delegating tasks, writing automated Python scripts for data processing, assisting in visualization development, and documenting all processes for future reusability.

Key Highlights

“I would be delighted to write you a letter of recommendation, especially since your work during the capstone was of such excellent quality. I’m thrilled to share that your proposed process is already being implemented–that’s a testament to the impact of your contributions.”

Max Balagtas-Badoy

Academic Program Specialist, iConsultancy
“There’s so many pieces of this where you hit it out of the park”

T.J. Rainsford

Lecturer; Director, iConsultancy Experiential Learning Program

Quality Assurance Intern

Stand Together | June 2022 – August 2023

As a Quality Assurance Intern at Stand Together, I rigorously tested the data pipeline from web forms to Snowflake data lake, uncovering a significant reporting issue between test and production traffic. I collaborated with the IT development team to resolve bugs, documented detailed test cases and outcomes for efficient troubleshooting, and conducted extensive regression testing to verify code changes had no adverse effects.

Key Highlights

Reference

Lily Pratsovyta

Director of Product Strategy