Data Scientist Machine Learning

Shea Brennan Summers

Problem Solver Critical Thinker Machine Learning Data Scientist Analyst ****.*******@*****.*** • 650-***-**** • Linkedin • Portfolio SUMMARY OF QUALIFICATIONS

● Data Scientist Skills – Knowledgeable with many common data science and artificial intelligence techniques including but not limited to: Data Analysis, Data Cleaning, Data Visualization, Regressions, and both Supervised and Unsupervised Machine Learning techniques.

● Computer Proficiency – Proficient in R, Python, and SQL with a focus on data analytics. Experience with C, HTML, and Java. Well versed in Microsoft Office. Experience with AWS and GCP.

● Research Skills - Proficient in Molecular Biology Lab Techniques, Scientific Writing, Research Data Collections, and Research Presentation.

EXPERIENCE

Data Scientist New York, NY

Apply Bright (Education Technology Start-up) November 2023-Present

• Optimized scholarship matching algorithms using GIS technology, increasing student-match accuracy by 35% and reducing manual search time by 50%.

• Built and deployed a predictive model to identify high-potential scholarship candidates, boosting application success rates by 22% within 6 months.

• Analyzed regional scholarship data across 10,000+ institutions, uncovering $15M+ in untapped funding opportunities for students in underserved areas.

• Automated data-cleaning pipelines for real-time scholarship updates, reducing processing errors by 40% and improving platform scalability for 50K+ monthly beta users.

Scientific Project Manager/Associate Project Manager Menlo Park, CA Personalis (Gene Sequencing Company) July 2020-September 2023

• Promoted from Associate Project Manager, assisting the project management team where needed, to Scientific Project Manager for R&D after one and a half years.

• Managed projects from major pharmaceutical companies like Abbvie and Pfizer, and major universities like Stanford and King’s College London

• Took charge of the project management of Research and Development for Operations, such as leading the R&D Ops monthly meetings and balancing priorities between R&D and external client projects.

• Adapted company tools to work with the changing needs required for unique R&D projects that these tools were not originally designed for.

• Organized sample data in the laboratory systems and return over 20,000 samples to clients freeing up critical sample storage space

• Communicated successfully with external clients and internal parties on adjustments to project parameters to minimize client friction for projects, securing millions of dollars. Researcher- Computational Biology La Jolla, CA

Graduate Independent Research September 2017 – June 2019

• Created a program for cell differentiation, and evolution of gene networks using machine learning techniques in R.

• Deployed computational tools to explore a large dataset of 1000s of simulated gene networks.

• Trouble shot through computational limitations on run speed and server space when creating and enhancing the evolution simulation cutting run time by over 70%.

• Condensed the data obtained from hundreds of thousands of simulated generations of evolution into easily understood visualizations.

• Successfully presented findings from a two-year project to an advisory committee for review. EDUCATION

University of California San Diego (UCSD) La Jolla, CA Master of Science on Computational Biology

University of California San Diego (UCSD)

Bachelor of Science in Molecular Biology

2019

La Jolla, CA

2018

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