“Lauren and I partnered together to author a study: The State of Data as a Product in the Real World. Her insights as a data scientist were a game-changer; not only for her ability to make sense of the data, but also because of the perspectives she brought from her experience as a practitioner. Lauren's input and contributions made the study actionable and valuable as well as informative. Lauren's energy is contagious, and her commitment to excellence took our work to the next level. Lauren doesn't just work hard; she cares deeply about achieving goals, helping people learn and grow, and inspires others to up their game. If you're looking for someone who'll bring fresh ideas, genuine enthusiasm, and a meticulous eye for detail to your project, Lauren's your go-to. I'm proud to have co-authored with her and welcome any opportunity to work with her again. I can't recommend Lauren highly enough.”
About
𝘼𝙄 𝙎𝙩𝙧𝙖𝙩𝙚𝙜𝙮 | 𝘿𝙖𝙩𝙖 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 | 𝙋𝙧𝙤𝙙𝙪𝙘𝙩
Product-focused AI…
Activity
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By 2026 Snapchat will know where your child is, what they’re looking at, and what they’re learning in real time… and almost no parent is prepared for…
By 2026 Snapchat will know where your child is, what they’re looking at, and what they’re learning in real time… and almost no parent is prepared for…
Liked by Lauren Burke-McCarthy
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Further and the Google Cloud team partnered with my alma mater Case Western Reserve University to bring enterprise Gemini to campus. Today we…
Further and the Google Cloud team partnered with my alma mater Case Western Reserve University to bring enterprise Gemini to campus. Today we…
Liked by Lauren Burke-McCarthy
Experience
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Education
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The College of Wooster
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Activities and Societies: Publicity Chair - Delta Theta Psi, Trustee - Hans Jenny Investment Club, Group Leader - International Student Orientation Committee, Wooster Activities Crew, Intercultural Partner Program, Scottish Nationals, Volunteer - Wayne County Humane Society
Thesis: Are We There Yet? A Traveling Salesman Approach to Road-Trip Optimization
• This project determines the optimal road-trip route traversing 40 US National Parks by formulating a Traveling Salesman Problem and applying genetic algorithm and simulated annealing optimization techniques. -
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Licenses & Certifications
Volunteer Experience
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Chair, KINETIC Emerging Leaders Board
COSI - Center of Science and Industry
- Present 7 years 9 months
Science and Technology
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Core Advisor, Community Advisory Panel
Midwest Big Data Innovation Hub
- Present 3 years 5 months
Science and Technology
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Central Ohio Regional Steering Committee
TECH CORPS
- Present 4 years 7 months
Science and Technology
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Data Science Foundations Workgroup
Ohio Department of Education
- 1 year 1 month
Education
The ODOE Department of Education partnered with the Ohio Department of Higher Education and Ohio Math Initiative to develop courses that satisfy the credit requirement for Algebra 2.
https://education.ohio.gov/Topics/Learning-in-Ohio/Mathematics/Resources-for-Mathematics/Math-Pathways/Data-Science-Foundations -
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Advisor
BUILT BY GIRLS
- 1 year 8 months
Science and Technology
WAVE connects young women with professionals in tech as part of a 1:1 Advisor program and prepares the next generation of female leaders, builders, and creators to step boldly into careers powered by technology.
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Teen /Adult Volunteer
Mount Carmel St Ann's
- 4 years 3 months
Health
Recognized for volunteering more than 180 hours at hospital. Greeted and escorted patients and visitors, delivered meals to patients, and supported families and visitors in waiting areas.
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Volunteer
West View Healthy Living
- 5 months
Health
Projects
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Are We There Yet? A Traveling Salesman Approach to Road Trip Optimization
See projectSenior Thesis presented in partial fulfillment of the requirements for the Degree Bachelor of Arts in the Department of Mathematics and Computer Science at The College of Wooster.
Applied machine learning heuristics including genetic algorithm and simulated annealing optimization as solution methods to determine the optimal routes of road trips traversing every continental US National Park.
Designed a year-long research project exploring a topic of personal interest. Investigated…Senior Thesis presented in partial fulfillment of the requirements for the Degree Bachelor of Arts in the Department of Mathematics and Computer Science at The College of Wooster.
Applied machine learning heuristics including genetic algorithm and simulated annealing optimization as solution methods to determine the optimal routes of road trips traversing every continental US National Park.
Designed a year-long research project exploring a topic of personal interest. Investigated a unique approach to road-trip optimization by formulating a Traveling Salesman Problem, examining the mathematics/computer science background of the problem, applying knowledge of the SDLC to implement genetic algorithm and simulated annealing optimization techniques, and defending project results at an Oral Defense.
Abstract: This project investigates an approach to road-trip optimization. We formulate a Traveling Salesman problem to minimize the overall travel cost accumulated along a road-trip route. The NP-hard complexity of TSP makes exact methods inefficient at locating solutions. We research the alternate solution methods known as heuristics and implement a repetitive nearest-neighbor heuristic, a simulated annealing metaheuristic, and a genetic algorithm metaheuristic. We apply these three methods to the 40-National Park TSP referred to as the Road Trip Problem. -
Hewlett-Packard Intern Project, Summer 2015
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• Completed over the course of Hewlett-Packard summer internship
• Presented in the 2015 Top 50 Best Technical/Non-technical Intern competition
Honors & Awards
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Inaugural Ohio Trailblazer Award
OhioX
Recipient of the inaugural Ohio Trailblazers Award, celebrating the women transforming Ohio tech.
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Dean's Scholar
The College of Wooster
Languages
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English
Native or bilingual proficiency
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Spanish
Professional working proficiency
Organizations
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American Statistical Association (ASA)
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Association for Women in Mathematics (AWM)
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Tech Ladies
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Recommendations received
1 person has recommended Lauren
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