Open to opportunities

Julia Porrino

@juliaporrino

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MLE with 10+ years of experience in developing scalable ML solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in machine learning and data science.

I am a Machine Learning Engineer with over a decade of experience in developing scalable machine learning solutions. My passion lies in leveraging data to drive innovation and deliver actionable insights. I have a proven track record of building and deploying machine learning models that enhance business operations and improve decision-making processes.

Throughout my career, I have successfully engineered end-to-end machine learning pipelines, optimized algorithms, and implemented real-time prediction systems. My work at EpiBone involved applying machine learning to clinical data, which significantly improved the analysis of biomarkers for bone growth. I have also developed automated systems that streamlined operations, saving substantial time and costs for my organization.

In addition to my technical expertise, I am dedicated to continuous learning and professional development. I hold a Data Science Certificate from TripleTen and have completed various technical trainings in machine learning and programming. I am eager to contribute my skills and knowledge to a forward-thinking organization that values innovation and data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Systems Engineer

Current

EpiBone

Jul 2017 - Present (7 years 11 months)

Applied machine learning to clinical patient data, identifying proteomic and gene expression biomarkers to enhance analysis for implant-ready bone production. Engineered and supported R and MATLAB scripts to optimize performance and data analysis for high-value equipment, while automating R&D and cGMP operations with a digital QMS, significantly streamlining FDA/IND submissions and quality reviews

Machine Learning Proteomic Data R Matlab

Financial Analyst

AJ Maintenance

Jun 2014 - Jul 2017 (3 years 1 month)

Utilized R to generate over $800K annually by developing, testing, and implementing algorithms and data models that identified optimal retailers for maintenance and contracting services. Positioned the company as a preferred vendor by updating technical documentation, ensuring 90% service level adherence across five states.

R Data Modeling Algorithm Development Technical Documentation Financial Analysis

Lab Technician

Marypaul Laboratories

Jan 2008 - Mar 2011 (3 years 2 months)

Managed multi-tiered industrial microbiology assessments on production batches to ensure adherence to USP, FDA, EPA, and LAL testing standards. Introduced a laboratory project management system to track data, resulting in $2.3M in savings and a 39% improvement in efficiency.

FDA EPA LAL Testing Quality Control Project Management Data Tracking

Education

Degrees, certifications, and relevant coursework

TripleTen

Certificate, Data Science

Completed a comprehensive program in Data Science, focusing on practical applications and industry-relevant skills. Gained expertise in machine learning, data analysis, and statistical modeling.

New Jersey Institute of Technology

Bachelor of Science, Mathematical Biology

Pursued a Bachelor of Science in Mathematical Biology, gaining expertise in the application of mathematical and computational methods to biological problems. Studied interdisciplinary concepts at the intersection of mathematics and biology.