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MEGAN JACOB

ABOUT ME

Artificial Intelligence, Machine Learning, Robotics, Women in STEM Advocacy

Photo of Me

Hello! I am Megan Jacob, a Computer Science major at the University of California, Los Angeles. I am passionate about Artificial Intelligence, Machine Learning, and Robotics. I have worked on research projects using AI/ML and have internship experience and certifications in the field.


Soft Skills: Public Speaking, Leadership, Team Management, Product Management

Technical Skills: C++, Python, Machine Learning, Artificial Intelligence, Data Science, Java, Web Development (HTML/CSS/javascript), Microsoft Office

30+
Speaking Engagements
2500+
People Reached
600+
Hours Volunteered
20+
Projects

WORK EXPERIENCE

Lawrence Berkeley National Lab | Data Science Intern

Built an application to visualize electron microscopy data to improve the quality of data collection and analysis during scientific experiments and research projects at the Molecular Foundry. The application I created is being used in collaboration with LBNL partners for scientific research. I created the application using Python, Jupyter Notebook, and the Voila framework.

Accenture | Learning to Lead Intern

Learned about the latest innovations in 3d/4d printing, VR, robotics, and more. Designed a product that makes healthcare more accessible in rural communities. Pitched this product to Accenture employees with hardware and software demos.

Venteur Inc. | Machine Learning Intern

I was a Machine Learning intern at Venteur, a startup in the healthcare industry, during the summer of 2021. As an intern I was investigating why people delay healthcare and the long term impact using data from the CDC. I worked directly with the CEO and CTO of the company for my work. I have been using Python(libraries include pandas, matplotlib, seaborn, and scikit-learn).

CodeDay Labs Mentor and Previous Intern

During the summer of 2020 I interned at CodeDay under Nicholas Lind from Deloitte Consulting. I used Machine Learning and techniques including feature engineering to analyze retail data.

After interning I got invited to mentor the CodeDay Labs beginner track. As a mentor I'm leading my group through a machine learning and data science project for predicting Parkinson's disease in a patient.

VEX Robotics Team 2772J | Lead Engineer

I was the lead engineer for VEX robotics competitive team 2772J. I led the design and creation of 2 robots which were created for competition. With these robots I won 5 awards including 2 Excellence Awards, 2 Judges Awards, and Robot Skills Champion. I also qualified to the State and World Championships, winning the Inspire Award at the World Championships. I also qualified to State Championships on team 5776X.


RESEARCH EXPERIENCE

Political Science Research | Machine Learning Researcher

I was working under Dr. Phil Mui to investigate the phenomenon of bellwether counties. Along with my team I was looking into what socioeconomic factors influence bellwether counties. I examined how these factors were influenced during the 2020 election and why many bellwether counties were wrong that year.

Early Diagnosis of Heart Disease Research | Machine Learning Researcher

I worked on a research project for my regional science fair that used machine learning and heart disease data for the early diagnosis of heart disease. This project, entered in the Math and Computer Science division, won 2 special awards.


AWARDS

SWE (Society of Women Engineers) Global Innovator Award
SWE (Society of Women Engineers) STEM in Action Award
NCWIT (National Center for Women in Information Technology) Aspirations in Computing Award
NCWIT (National Center for Women in Information Technology) AspireIT Impact Award
Contra Costa County Science and Engineering Fair Special Awards (Dorothy Vaughan Award and the Promoting Innovation in STEM Pina Award)
VEX Robotics Inspire Award at the World Championships
VEX Robotics Excellence Award (x2)
VEX Robot Skills Champion
VEX Robotics Judges Award (x2)
Girls of the Future Award

CONTACT

Feel free to reach out to me for speaking engagements, opportunities, or anything else!