
Detail-oriented Data Analyst with a Master’s in Business Analytics from Sacred Heart University and over 4 years of experience in data analysis, reporting, and business intelligence. Proficient in SQL, Power BI, Tableau, Python, and ETL processes, with expertise in data modeling, performance optimization, and driving data informed decisions. Adept at collaborating with cross-functional teams to deliver actionable insights and enhance operational efficiency. Seeking to contribute to a dynamic, data-driven team and advance my career in data analytics.
Data Unveiling: From Chaos to Clarity (Real-time), Intern, Python, Pandas, Scikit-learn, Matplotlib, Excel, Developed a machine learning pipeline, achieving 100% accuracy in logistic regression classification., Processed and cleaned multi-source datasets, handling missing values, outliers, and inconsistencies., Applied K-Means clustering to segment participants based on program engagement patterns., Created insightful visualizations to showcase service trends, program effectiveness, and outreach impact., Detected anomalies in program duration affecting 15% of records, enhancing data accuracy. eCommerce Performance & Data Analysis, SQL, Excel, Power BI, Analyzed site performance data using SQL and Excel to identify trends and operational inefficiencies., Built interactive dashboards in Power BI to visualize site metrics and KPIs for leadership review., Implemented data-driven process improvements during high-traffic holiday periods. Business Performance Reporting & OKRs, SQL, Excel, Power BI, Developed monthly and quarterly reports to track business performance against OKRs., Analyzed key business metrics to provide insights for the leadership team and support decision-making., Improved data visualization practices, enhancing the clarity and actionability of performance reports.