Ryan Maxwell Wenzel

| Maths | Data | Learning | Teaching |

Location
Seattle, Washington, United States
Email
Phone
+1 (206) 290-8444
Website
https://rmwenzel.com
GitHub
rmwenzel
LinkedIn
rmwenzel

Projects

– present

US Racial Segregation and COVID-19 Testing and Vaccine Site Distribution

Spatial areal unit model with conditional autoregressive priors in R to study the national distribution of COVID testing states over census blockgroups.

Highlights

    –

    Starbucks Customer Promotion

    Statistical analysis of positive effect of customer promotion and hybrid model for classificating customers most likely to respond in order to maximize response rate and revenue.

    Highlights

      –

      Cascadia Airbnb

      Used data visualizations to understand geographic distribution of price and ratings and random forest model to discover important features related to ratings for Airbnb listings in Seattle, Portland, and Vancouver.

      Highlights

        –

        Ames House Prices

        Predictive model for housing prices for Kaggle Advanced Regression Learning Competition had test RMSE of 0.12132 placing in top 10%

        Highlights

          –

          Keras CNN for Fashion MNIST

          Convolutional neural network for image classification leveraged Amazon Sagemaker spot instances for training to overcome local resource and cost limitations, acheiving a classification accuracy of 93.9%

          Highlights

            Experience

            – present

            Data Scientist/Machine Learning Engineer (Freelance) at Yale School of Medicine, Public Health

            Highlights

            • Collaborated with MD/PhD candidate on large scale spatial areal unit model studying distribution of US COVID-19 testing sites
            • Led model training and optimization at scale, managing codebase, parallel processing, and costs
            • Pending paper co-authorhip - case-study pilot paper has been published in AJPH

            – present

            Owner/Principal Tutor at Sidekick Tutoring

            Highlights

            • Founded online international tutoring company for advanced mathematics, statistics and computer science
            • Supported over 300 undergraduate and graduate students at world-class universities
            • Recently specialized graduate level support and foundations of data science and machine learning

            –

            Graduate Teaching Assistant at The University of Texas at Austin

            Highlights

            • Assisted mathematics department faculty in teaching math courses.
            • Ran discussion sections, held office hours, graded homework, wrote problem solutions, and graded and proctored exams.

            Volunteer

            –

            Tutor at City College of San Francisco DSPS

            Tutored students with disabilities in math, both individually and in groups.

            Highlights

              – present

              Membership Support Workgroup at Red Cedar Zen Center

              Provide website and administrative support to other community members.

              Highlights

                Skills and Tools

                Foundations
                Level:
                Keywords:
                • Calculus
                • Linear Algebra
                • Probability
                • Descriptive and Inferential Statistics
                • Bayesian Methods
                • Statistical/Machine Learning
                • Deep Learning
                • Search and Optimization
                • Algorithms
                Tools and Languages
                Level:
                Keywords:
                • Python
                • Pandas
                • Numpy
                • Jupyter
                • Matplotlib
                • Seaborn
                • Scikit-learn
                • Git
                • GitHub
                • *NIX
                • SQL
                • R
                • Keras
                • SageMaker
                • HTML/CSS
                • Jekyll
                • LaTeX

                Education

                –

                Master of Advanced Study in Mathematics from University of Cambridge

                Courses

                  –

                  Bachelor with Honors in Mathematics from University of California, Berkeley

                  Courses

                    Certifications

                    SQL for Data Science from UC Davis on Coursera

                    Deep Learning Specialization from deeplearning.ai on Coursera

                    Learning from Data from Caltech on EdX

                    Graph Search, Shortest Paths, and Data Structures from Stanford on Coursera

                    Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford on Coursera

                    © 2019.