Hannah Sutton
724.963.5826 | hsutton518@outlook.com | www.linkedin.com/in/hannah-1-sutton
Projects · Certifications · Education · Technical Skills · Experience
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Projects
Uber Ride Data Analysis & Modeling - Python, Pandas, NumPy, scikit-learn, Matplotlib
View the full project on GitHub
In this project, I analyzed and modeled Uber ride data using Python, Pandas, NumPy, scikit-learn, and Matplotlib to derive insights on ride patterns and customer behavior.
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Ensured data quality and integrity by implementing robust data cleaning and validation techniques, including handling missing values and removing duplicates using Pandas.
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Executed comprehensive exploratory data analysis (EDA) and correlation testing to understand data distribution and relationships, informing subsequent modeling decisions.
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Developed and evaluated a logistic regression model to predict high-value bookings based on vehicle type.
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Documented the complete analytical workflow with reproducible Python scripts and visualizations, creating a professional portfolio asset for demonstrating technical proficiency.
PA Emergency Management Dashboard Project – Storm Resource Allocation Dashboard and Analysis in Python
View the full project on GitHub
In this project, I developed a comprehensive storm resource allocation dashboard for the Pennsylvania Emergency Management Agency (PEMA) using Tableau to visualize storm patterns and optimize resource deployment.
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Conducted in-depth data cleaning and analysis using Python, employing numerical, categorical, and correlation analyses to inform strategic emergency planning.
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Delivered actionable insights to various stakeholders, including executives, field teams, and the public, through a multifaceted delivery approach encompassing a dashboard, presentation, and pamphlet.
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Enhanced organizational preparedness and budget strategy by focusing on clear, accessible visual storytelling to communicate complex data effectively.
Power BI Decision Model – MLB Wins Analysis
View the full project here (PDF)
In this project, I created a predictive decision model for MLB wins using Power BI and regression analysis to forecast team performance.
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Designed and implemented an advanced Power BI dashboard featuring sophisticated data cleaning and integrated regression models.
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Established a key performance indicator (KPI) monitoring system to provide data-driven sports performance insights for strategic decision-making.
Enterprise Data Management Plan – Third Star Financial
View the full project here (PDF)
In this project, I created a comprehensive data governance plan to improve enterprise data quality and collaboration:
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Designed logical and conceptual data models to support scalable architecture and compliance
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Delivered a strategic roadmap for cross-functional alignment, documentation standards, and stakeholder engagement
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Positioned data as a core asset by aligning technical structure with business requirements
Certifications
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Certificate in SQL Competency – LearnSQL.com (May 2025)
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Power BI Reports and Dashboards – AICPA (Apr 2025)
Education
Master of Science - Data Analytics
Southern New Hampshire University 2025-2026
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3.72 GPA
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3x Honor Roll
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National Society of Leadership and Success Nominee
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Active member of CodingUnited club
Bachelor of Arts - Mathematics
Southern New Hampshire University 2021-2024
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1x Honor Roll
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Early graudate
Skills
Languages/Tools: SQL, Python (pandas, numpy), R, Excel, Power BI, Tableau, MATLAB
Soft Skills: Communication, Critical Thinking, Stakeholder Collaboration, Problem-Solving
Experience
IT Department Intern
Laurel Highlands School District - Uniontown, PA (Sep 2024- June 2025)
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Collaborated with network and tech administrators to troubleshoot IT issues effectively.
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Assisted in data migration and system upgrades, enhancing overall operational efficiency.
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Supported the setup and deployment of new computers, improving user experience across the organization.
Long-Term Substitute Teacher
Laurel Highlands School District – Uniontown, PA (Sep 2024 – Jun 2025)
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Collected, tracked, and interpreted quantitative and qualitative performance data.
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Collaborated with cross-functional teams (teachers, parents, administrators) to align requirements and outcomes.