Data Scientist, Machine Learning
Resume:
Bill Bentley Roswell, GA ***********@*****.*** 678-***-**** Linkedin.com/in/billbentley/ Professional Summary
Data Scientist with expertise in quantitative analysis, predictive modeling, machine learning, AI, and statistical analysis. Passionate about using data-driven insights to solve complex business challenges. Extensive experience in Python, R, and SAS, with a strong background in developing classification models, trend analysis, and anomaly detection. Comfortable presenting findings to diverse audiences, from technical teams to executives. Domain experience is in healthcare, manufacturing, defense and transportation.
Technical Knowledge & Skills
Programming Languages: Python (pandas, NumPy, Scikit-learn, TensorFlow, PyTorch +), R, SAS, SQL
Machine Learning & AI: Predictive modeling, Q-learning, Deep Learning, NLP, Neural Networks
Data Engineering: AWS SageMaker, Amazon S3, Databricks, Hadoop, ETL Pipelines, Snowflake
Visualization & BI: Tableau, Power BI, Qlik, Python Dash, R Shiny
Statistical Analysis: Inferential and Descriptive Statistics, Hypothesis testing, Time Series, Regression (all types), Multivariate, Experimental Design, Survival Analysis, Nonparametric Professional Experience
Omni Federal LLC Senior Data Scientist (03/2023 – 03/2025)
Developed over a dozen predictive and classification models, a pilot simulator performance analyzer, and 4 data science training labs for on-line learners allowing them to win millions of dollars of new contracts and expand their student base beyond 20,000 students.
Designed a plagiarism detection model in Python, leveraging NLP techniques to comply with client specifications for student exam submissions
Worked with Military clients, deploying solutions in a secure AWS environment helping to propel the company to record growth, doubling in one year. General Dynamics Information Technology Data Scientist (11/2022 – 03/2023)
Created predictive models for the U.S. Navy, leveraging Python, Databricks, Amazon S3, and SQL which allows them to predict recruiting needs. General Dynamics Information Technology Data Scientist (10/2021 – 11/2022)
Developed COVID incidence analysis and vaccine effectiveness models using R, SAS, and Excel. This work directly enabled the prediction of vaccine effectiveness and timing, saving hundreds of thousands of lives worldwide.
Co-authored three medical journal publications based on statistical findings. Various Clients via Contracting Firms Senior Data Scientist (07/2019 – 08/2021)
Key Clients: CDC, ADP, Georgia-Pacific
Contracting Firms: GDIT, Insight Global, Experis
Tech Stack: Python, R, SQL, AWS, SAS, Databricks, Machine Learning, AI Page 2 of 2
Selected Projects:
Omni Federal LLC: Built a transfer learning image detection model using YOLO, AWS SageMaker, and Python
CDC: Led COVID-19 analysis projects, using Latent Class Analysis (LCA) to analyze adult mortality trends. (R, SAS, Python, SQL)
ADP: Built a PAM clustering model when no labeled data was available to predict client performance, reducing 190 variables to 20 for client classification, deployed with a tree model in Alteryx (R, Alteryx).
Georgia-Pacific: Developed gradient boosting virtual sensor models predicting manual lab test results from available real-time variables (SAS Viya).
KSU: Credit scoring logistic regression model for high-risk credit card decisions (SAS) Additional Relevant Experience:
Over 15 years of consulting and training in statistical methods for process improvements with my own company. Industries include pharmaceutical, Hospital, Transportation, Publication, Insurance, Medical devices, communication, marketing, consumer goods manufacturing and IT. Education
Masters in Applied Statistics, Kennesaw State University, 2016
Additional prior graduate degrees in Engineering and finance from prestigious universities. Certifications & Publications
AWS Certified Machine Learning – Specialty
Co-authored 3 peer-reviewed medical journal papers-statistical models and pandemic analysis.
Book: ‘Lean and Six Sigma Secrets for the CIO’, Taylor and Francis, CRC Press
‘Factors of Multiple Fatalities in Car Crashes’, SAS Global Forum Competition Winner
Certified Base and Advanced SAS programmer
Certified SAS Business Analytics professional.
Certified Analytics Professional from Informs
Certificate in Applied Statistics using R from Kennesaw State University
Certified Base Python Programmer, with distinction, from University of Michigan
Tableau Course Certificates from Udemy
Python for Data Science and Machine Learning Certificate from Udemy
SQL Certificate from Udemy
Six Sigma Master Black Belt, Lean Black Belt
Git Essential Training, LinkedIn
Additional Information
Active Secret Clearance
Open to remote and some hybrid roles.
Experienced working in highly regulated environments (government, healthcare, defense).
Given hundreds of lectures on a wide variety of technical and business topics.
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