Machine Learning Data Scientist

McKenna Lawrence

EXPERIENCE

Machine Learning Engineer November 2021 - April 2023 Double River Investments Lehi, Utah

• Designed, tested, and implemented trading strategies using statistical analysis to generate alpha returns in global markets

• Researched lead-lag effects in trading across countries and industries to implement trading strategies

• Built infrastructure to send trading signals from trading strategies to brokerage for paper trading and live trading

NLP Data Scientist October 2020 - November 2021

Halosight Midvale, Utah

• Created, deployed and managed Amazon MTurk projects to create realistic customer service chat data and label intent on text data. The customer service chat data has revolutionized how the company prepares demos for potential customers.

• Designed improvements to our product and entity normalization algorithms for increased accuracy up to 91% correct.

Data Science Intern May 2021 – August 2021

Owlet Baby Care Lehi, Utah

• Researched deep learning algorithms to extract the respiratory waveform and respiratory rate from PPG signals extracted from the Owlet Smart Sock. Four novel algorithms in both Pytorch and Keras were able to extract the respiratory waveform and accurately identify its peaks. Data Scientist August 2019 – May 2020

OrderBoard Orem, Utah

• Query databases, engineer and clean data, and develop and deploy machine learning algorithms to help top companies build elite teams in inverted markets. Models were able to successful predict qualified candidates with up to 95% accuracy in multiple different markets. Data Science Intern May 2019 - August 2019

ExxonMobil Clinton, New Jersey

• Developed a computer vision algorithm that corrects for retention time drift in GCxGC measurements after column set changes to assist with comparative data processing EDUCATION

Master of Science, Mathematics

Brigham Young University, Provo, Utah August 2021

• GPA 3.81/4.00

• Master’s project: Respiratory Rate Estimation from Photoplethysmogram Signals from Newborn Babies

• Taught the introductory python analytics course for the IS department (IS 115). The course covers python programming, data visualization, bivariate and multivariate statistics, data cleaning, and modeling. Bachelor of Science, Applied and Computational Mathematics (ACME) Brigham Young University, Provo, Utah August 2020

• Concentrations: Machine Learning and Economics

• GPA 3.88/4.00

SKILLS & ACHIEVEMENTS

• Experience with Neural Networks, Computer Vision, and Natural Language Processing

• Proficient in Python (Numpy, Scipy, Matplotlib, Scikit-Learn, Pandas, Seaborn, OpenCV, PyTorch, etc.)

• Machine Learning Models (Nearest Neighbors, Random Forest, Gradient Boost, etc.)

• Experience in C++, SQL, Tableau, product management, and beta testing

• Spanish fluency (reading, writing, speaking)

480-***-****) —- *******.*.***@*****.***

https://www.linkedin.com/in/mckennapitts/

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