Eduardo .

Taught introductory statistics and statistical computing courses to undergraduates and graduates
(STA 101, STA 110, STA 523)

Created computer vision course materials for an Advanced Data Analytics and Applications course at the Fuqua School of Business

Collaborated with team to analyze and synthesize historical customer data via a clustering algorithm to provide client with customer-segmentation recommendations

Developed a ML algorithm in R with a Python wrapper to enhanced the classification capabilities of a financial fraud detection tool

Co-led the successful launch of Galileo AMR , an antimicrobial resistance detection and classification software

Personally built and co-designed the company’s first BizOps infrastructure & web-store within a tight deadline (two months) linking over four sales/marketing platforms

Created and managed product requirements for
Galileo Virome , a genomics infectious disease diagnostic based on market research and KOL interviews

Actively worked with bi-coastal development team to ensure the product met customer, medical, and regulatory needs

Developed Python scripts to showcase core technology’s value to classify antimicrobrial DNA, prompting leadership to strategically shift outside the initial cancer target market

Integrated and automated the company’s first product which streamlined four data analysis algorithms in C++, R, and Python to analyze a whole Human genome (>600 Gb) in less than 1.5 days

Built a Python-based modular algorithm capable of comparing over 100,000 of genetic predictions via partial alignments across the Human genome in less than 1.5 hours

Developed Python scripts to tune a proprietary machine learning model's parameters via ROC curves to ensure greater than 95% precision in predictions