PROJECTS
During my time as a graduate student and professional, I have applied my extensive knowledge of data analytics to numerous projects across various industries. My work has provided actionable insights that drive business decisions and ensured data integrity through effective data warehousing solutions.
EDUCATION
In 2022, completed Bachelors of Science in Marketing from Bloomsburg University, a AASCB-accredited university.
Graduated in 2024 with a Master of Professional Studies (MPS) in Data Analytics from Penn State University. I completed courses in various disciplines such as data mining, predictive analytics, large-scale databases and data warehousing, and other related topics.
COURSES
Data Mining
Foundations of Predictive Analytics
Foundations of Predictive Analytics
Practical benefits of data mining will be presented; data warehousing, data cubes, and underlying algorithms used by data mining software.
Skills: Pattern Mining, Classification
Foundations of Predictive Analytics
Foundations of Predictive Analytics
Foundations of Predictive Analytics
Course on the key topics in predictive analytics. Learned methods associated with data analytics techniques and apply them to real examples using the R statistical system.
Skills: Machine Learning
Data-Driven Decision Making
Foundations of Predictive Analytics
Enterprise Analytics Strategies
Application and interpretation of analytics for real-life decision-making, transforming complex data into actionable insights that drive strategic business outcomes.
Skills: Data Storytelling & Visualization
Enterprise Analytics Strategies
Design & Implementation of Analytics Systems
Enterprise Analytics Strategies
Examined business intelligence in the era of big data. Emphasis is on the successful implementation of big data in large and small corporations that deliver extraordinary results.
Skills: Data Visualization
Large-scale Database & Warehouse
Design & Implementation of Analytics Systems
Design & Implementation of Analytics Systems
Examination of large-scale data storage technologies including NoSQL database systems for loosely-structured data, and warehouses for dimensional data.
Skills: ETL, SQL, Hadoop, Data Pipeline
Design & Implementation of Analytics Systems
Design & Implementation of Analytics Systems
Design & Implementation of Analytics Systems
Design and implement data science and analytics systems using contemporary tools and techniques. Choice of project topic mutually determined by student and instructor.
Skills: Predictive Analytics
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