Cooking For U
2025-CurrentCo-Founding the launch of a new app powered by applied AI. Managed the business side of the project, and assisted in coding aspects and bug testing.
Data Scientist, Researcher, Entrepreneur
An entrepreneurial builder working at the intersection of data, research, and applied decision-making, focused on turning uncertainty into actionable insight.

Active projects, experiments, and work demonstrating applied intelligence.
Co-Founding the launch of a new app powered by applied AI. Managed the business side of the project, and assisted in coding aspects and bug testing.
Designing, building, and testing laboratory oxygen sensor systems, integrating electrochemical sensors with microcontrollers. Contributing to expanded lab capabilities in material science research.
Analyzing large sociological datasets using statistical and programming tools. Cleaned and merged over 10 years of data to build visualizations and summaries to support academic research.
Utilizing python programming to visualize XRD readings. Maintaining and refining features to allow for more indepth analysis.
Writing analytical paper examining major scientific/technological development through critical analysis of primary and secondary sources, evaluating broader societal and global impact. Also writing additional paper on the significance of archival material to Lehigh's history.
"Aut inveniam viam aut faciam"
(I shall either find a way or make one)
A comprehensive toolkit built through hands-on experience, academic rigor, and continuous learning.
Rapid prototyping and testing cycles to validate hypotheses and refine solutions through curiosity driven learning.
Leveraging quantitative analysis and statistical rigor to inform strategic choices and minimize uncertainty.
Combining insights from data science, research methodology, and business strategy for holistic problem-solving.
Maintaining clear records of processes, decisions, and learnings to enable reproducibility and knowledge sharing.
I thrive in ambiguity—not because I have all the answers, but because I have developed systematic approaches to finding them. My journey bridges data science, academic research, and entrepreneurship, driven by the belief that the best learning happens through doing.
Rather than waiting for perfect knowledge, I embrace iterative experimentation. Each project, whether a successful research publication or a failed startup attempt, contributes to a growing toolkit of methodologies and insights. This approach has taught me that failure is not the opposite of success—it is a critical component of the learning process.
My interdisciplinary background allows me to move fluidly between quantitative analysis, qualitative research, and strategic business thinking. I translate complex data patterns into actionable insights, design rigorous experiments to test hypotheses, and build products that solve real problems.
Beyond the technical work, I am passionate about documenting the journey—sharing both the victories and the setbacks transparently. This commitment to authentic growth creates opportunities for collaboration, mentorship, and collective learning.
Embracing the unknown and transforming questions into systematic investigations through continuous exploration.
Building expertise through repeated cycles of experimentation, failure analysis, and refinement.
Connecting insights across data science, research, and entrepreneurship to solve complex problems.
Documenting both successes and failures to contribute to collective knowledge and learning.

Whether you have a project idea, research opportunity, or just want to connect, I am always open to meaningful conversations.