Mar 2023 – Present · 3 yrs · Remote

• Spearheaded comprehensive data cleansing for groundbreaking genomic study of COVID-19 patients.
• Collaborated on innovative and iterative machine learning model development, utilizing Git version control features.
• Conducted in-depth analysis of features using statistical and machine learning techniques, uncovered unique features of cell and sample types.
• Leveraged advanced bioinformatics methods using Python to identify crucial patterns linked to COVID-19 severity.
• Visualized output, transforming complex numerical relationships into insightful and engaging charts and graphs.
• Findings hold significant potential to inform the development of more effective treatments and vaccines against the disease.

Mar 2022 – Present · 4 yrs

• Flattened, standardized, and cleaned unstructured data from data harvest to prepare for database ingest.
• Designed code to be accessible to encourage reuse and ensure scalability, providing significant cost reduction to organization.
• Worked with minimal direction, consulted the enterprise, and successfully authored and implemented functional specifications to translate organizational goals into a technical blueprint.
• Ensured that analysis and models developed contributed directly to the institutional needs.
• Independently researched and learned the subject matter to help identify potential inconsistencies or missing data, ensuring appropriate cleaning methods, and improving overall quality.
• Created a knowledge base of best practices with technical notebooks and organized institutional processes to communicate decisions made to a wide audience.
• Sought position to gain real world experience, and benefit a worthy cause by providing a non-profit organization high-level, reproducible results
• Summarized range and scale of variables, facilitating effective communication of findings to stakeholders.
• Visualized output, ensuring intuitive, accessible, and effective information.

Mar 2019 – Dec 2022 · 3 yrs 9 mos

• Recruited students, liaised with parents, and taught students across a wide age range (8-20).
• Provided effective and actionable instruction for virtually all learning types, including various neurodivergence needs.
• All students initially below grade level, within one academic year were at or above grade level. One young adult student began with virtually no math knowledge and within a year was proficient in algebra.
• Demonstrated strong study & test taking skills, communication with instructor/teacher, and above all,
• the value of logic, creativity, and beauty of mathematical thinking and how it applies in all parts of life.

May 2015 – May 2017 · 2 yrs

• Independent research in piecewise polynomials (splines) with applications in engineering and data science.
• Helped develop material for introduction to splines and further research as part of a team.

Sep 2013 – May 2017 · 3 yrs 8 mos

• Assisted faculty, staff and students, overseeing project request tickets.
• Completed internet and academic database research projects comparing and analyzing the GDP of African countries to US GDP by race and ethnicity.
• Constructed databases in Excel to sort and compare GDP data.
• Aided staff in setting up communications hardware and software.