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    Rena Lu

    Software Engineer, Data Science at Embark Trucks (We are hiring!)

    Rena Lu is a prospective graduate from the University of Toronto with a Bachelor of Engineering Science in Mathematics, Statistics, and Financial Engineering, anticipated in May 2020. During her undergraduate years, she discovered her passion for data science and has diligently acquired relevant skills through internships, research projects, and academic coursework.

    She gained hands-on experience as an intern at EatLab, where she developed models to analyze restaurant customer interests and enhance profitability using machine learning and mathematical optimization techniques. Rena also contributed as a student researcher in the Data-Driven Decision Making Lab at the University of Toronto, focusing on social media analysis under the guidance of Prof. Scott Sanner.

    Her academic pursuits encompass courses in programming, machine learning, statistics, calculus, linear algebra, optimization models, and financial principles. Rena is proficient in Python and has working knowledge of C/C++, Java, R, and SQL. She is well-versed in data analysis libraries including Scikit-Learn, Pandas, and Numpy/Scipy, and has expertise in building neural networks with PyTorch. Furthermore, she has hands-on experience in web data scraping and constructing data pipelines on AWS.

    Known for her quick learning ability and strong work ethic, Rena excels both in team environments and as an individual contributor. She possesses excellent communication and presentation skills, making her a valuable asset in collaborative projects and client interactions.

    Rena Lu
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    Location

    San Francisco, California, United States