Emily Sterczala
McDonald,PA
Summary
Data Scientist and Analyst with 5+ years of experience delivering trusted, actionable insights in large-scale financial and healthcare environments. Expert in Python, SQL, R, and data modeling, with hands-on experience in machine learning model development, fraud analytics, and business intelligence dashboard construction. Proven ability to solve complex data problems and communicate findings clearly to senior leadership and cross-functional stakeholders.
Overview
9
9
years of professional experience
Work History
Data Scientist
PNC
Pittsburgh, PA
06.2022 - Current
- Conduct data analysis and identify fraud trends across approximately 1.3 million deposited checks and 750,000 new deposit accounts annually.
- Build and maintain a Fraud Dashboard for model monitoring and deposit trend analysis.
- Lead predictive data modeling and development for internally built and third-party machine learning models to improve predictive accuracy and monitor model performance.
- Partner with cross-functional teams to establish business intelligence dashboards, ensuring alignment on metric definitions and KPIs.
- Investigate fraud trends within application and account data.
- Solve complex data problems using SQL, R, and Python, and deliver comprehensive performance reports for senior leadership.
- Leverage Copilot to automate rule insights and Claude to support large dataset analysis and script optimization.
- Mentor junior staff in modeling while collaborating with Risk Management and Compliance to minimize customer risk.
- Manage stakeholder expectations through ad-hoc analysis and ROI reporting, delivering insights that drive data-driven decision-making.
Ophthalmic Imager and Data Manager
UPMC
Pittsburgh, PA
08.2018 - 06.2022
- Partnered with upper management to drive organizational strategy through the implementation of new data quality management processes.
- Performed data quality analysis including completeness and conformity monitoring for study data collection.
- Led the installation and optimization of hardware and software systems to meet strict Epic requirements and maintain high standards of data security.
- Collaborated with the research department to oversee data collection and analysis for multiple clinical studies.
Retina Technician
Retina Associates
Shawnee, KS
04.2017 - 06.2018
- Managed complex surgery services coordination and procurement of specialized supplies, maintaining adherence to logistical schedules and resource availability.
- Maintained a master calendar for multiple providers to optimize patient loads and clinician efficiency.
- Supported systematic data collection for research studies, ensuring data integrity and accuracy.
- Partnered with insurance providers to verify coverage and obtain pre-authorizations, reducing billing errors and improving payment cycles.
Education
Master of Science - Health Informatics and Data Science
University of Pittsburgh
Pittsburgh, PABachelor of Arts - Chemistry
University of Kansas
Lawrence, KSSkills
- Core Analytics & BI: SQL, Python, R, Tableau, Power BI, Machine Learning Model development, Model Implementation, A/B Testing, BI Analysis, Claude, Copilot
- Governance & Management: Data Quality Management, Stakeholder Management, Data Resilience and Integrity, Product Ownership, Project Lifecycle Management
- Technical & Industry Tools: Data Cleaning, Validation, and Analysis, Troubleshooting
Timeline
Data Scientist
PNC
06.2022 - Current
Ophthalmic Imager and Data Manager
UPMC
08.2018 - 06.2022
Retina Technician
Retina Associates
04.2017 - 06.2018
Bachelor of Arts - Chemistry
University of Kansas
Master of Science - Health Informatics and Data Science
University of Pittsburgh