Data Python

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LEV WILLIAMS DATA SCIENCE CONSULTANT

*************@*****.*** 661-***-**** lev-williams-48341793/ LevWilliams SUMMARY

MS in Computational Statistics with experience in Data Science, particularly Machine Learning as it applies to Natural Language Processing. I am a swift learner and flexible so I'm able to adapt to Data Scientific frameworks and technologies quickly. I have experience in coordinating with others in data acquisition and model construction and communicating the findings of data analysis to individuals who will be making decisions with that information. EDUCATION

California State University East Bay Aug. 2017 - May 2019 Master of Science Statistics 2019

California State University Bakers ield Aug. 2011 - May 2017 Bachelor of Science Mathematics with a minor in Computer Science 2017 EMPLOYMENT

Logos News LLC, Data Science Consultant Oct. 2019 - Current

•Uses language models implemented via TF/Keras to conduct classification using media text and comment text data.

•Uses GCP to implement ML models to Logos News website.

•Conduct Data Analysis to identify courses one can take to improve the accuracy of text models prior to experimenting with model architecture.

Freelance Work, Data Science Mentor Jan. 2018 - Current

• Assisted data scientists in training with becoming more familiar with the theoretical background of many data science approaches such as Probability Theory, Statistics, and Linear Algebra.

• Provided assistance with having familiarizing prospective data scientists with programming languages widely in use within the domain of data science such as R and Python. DATA SCIENCE: Python, Tensorflow, Keras, Google Cloud Platform, R (LinkedIn Certified) (+92th percentile on DataCamp), SQL THEORETICAL: Hypothesis Testing, Regression/ANOVA, Linear Algebra, Mathematics of Machine Learning, Categorical Data Analysis, Bayesian Statistics

SKILLS

PROJECTS

Random Forest

• Constructed a Random Forest in R.

• The Random Forest I constructed is compatible with missing data which is a feature not present in many Random Forest libraries in R.

California Homeless Population and Disease Dashboard

•Shiny app that dynamically produces time plots of homeless populations for each county in California with an accompanying time plot for the amount of people infected given a particular disease and a cross-correlation plot between the two.

•Data was procured, transformed, and rehosted to data.world so that I could host the dashboard on shinyapp.io.