Paul Anderson: Data Scientist
Experienced Data Scientist with 12+ years in analytics, team leadership, and academia. Seeking mid-to-high level leadership position to drive impactful business outcomes through strategic data insights.
Professional Summary
Extensive Experience
12+ years in data analytics, team leadership, and academic instruction
Technical Expertise
Advanced statistical techniques, Python, R, SAS, SQL
Academic Background
Ph.D. in Sociology, experience as Assistant Professor
Key Strengths
Problem-solving, innovative data analysis, continuous improvement
Educational Background
1
M.S. Data Science
Eastern University, 2023 - Current (Expected Graduation Spring 2025)
2
M.A. and Ph.D. Sociology
University of Cincinnati, 2015. Advanced Statistics and Research courses
3
B.A. Psychology
Wright State University. Statistics, Research, and Data Analytics focus
Current Role: Manager, Data Analytics
Team Leadership
Led 2 teams, 30% productivity increase
Training Development
Reduced onboarding time by 25%
Strategic Planning
40% increase in analytics project efficiency
Stakeholder Reporting
Delivered comprehensive analytical reports
Previous Academic Experience
Assistant Professor
American Public University, 2018 - 2022
- Developed curriculum in Data Science
- Focused on Social Science Research Methods and Statistics
- Integrated data analysis and statistical modeling principles
State of Ohio Department of Education Experience
1
2
3
4
5
1
Social Science Research Supervisor
2014 - 2017
2
Complex Research Project Leadership
Led data science initiatives
3
Data Analytics Strategy
Guided strategic direction
4
Data Administration
Oversaw team and database management
5
Mentorship
Nurtured technical prowess
Technical Skills
Data Analysis and Visualization
R, Python (Pandas), SAS, SQL, SPSS, Power BI, Tableau, ArcGIS
Machine Learning and Big Data
Advanced ML techniques, Big Data analysis, Snowflake
Healthcare-Specific Skills
Health Care Data Analysis, Health Catalyst
Leadership and Management Skills
1
2
3
4
1
Demonstrated Leadership
Effective management in data-driven environments
2
Team Growth
Fostering professional development
3
Project Management
Efficient handling of complex projects
4
Cross-functional Collaboration
Facilitating interdepartmental cooperation