Data Analyst & Business Analytics Professional
Transforming complex data into actionable business insights through advanced analytics, machine learning, and intelligent automation. Specializing in LLM fine-tuning, business intelligence, and data-driven decision making with a proven track record of delivering measurable results.
🚴♂️ 1M+ Trip Records Analyzed
Comprehensive data analysis of historical bike-sharing dataset to identify user behavior patterns and develop strategic recommendations for converting casual riders to annual members.
Key Achievement: Delivered actionable insights leading to 10% increase in membership conversion rates
Technologies: SQL (JOINs, GROUP BY, aggregations), Python (pandas, matplotlib), Power BI, Excel (pivot tables, VLOOKUP)
Impact: Presented findings to simulated marketing team via interactive Power BI dashboard
📊 Interactive KPI Dashboard
Built comprehensive business intelligence solution featuring advanced data modeling, interactive visualizations, and automated reporting capabilities for enterprise-level decision making.
Key Features: Snowflake schema implementation, dynamic filtering, time intelligence functions, automated KPI calculations
Technologies: Power BI, DAX (CALCULATE, SWITCH, Time Intelligence), Power Query, Data Modeling
Impact: Streamlined reporting processes and enabled real-time business performance monitoring
💰 Revenue Optimization Dashboard
Developed comprehensive sales analytics platform analyzing customer behavior, product performance, and revenue trends using advanced SQL queries and Python data visualization.
Key Features: Customer segmentation analysis, seasonal trend identification, product recommendation engine, automated KPI reporting
Technologies: Python (pandas, seaborn, plotly), PostgreSQL, Tableau, Excel Advanced Functions
Impact: Identified $50K+ revenue opportunities through customer lifetime value analysis and product cross-selling strategies
🏥 Patient Outcome Prediction Model
Built predictive analytics solution for healthcare outcomes using machine learning techniques to analyze patient data and identify risk factors for improved care delivery.
Key Features: Risk stratification model, treatment effectiveness analysis, resource allocation optimization, compliance reporting
Technologies: Python (scikit-learn, matplotlib), SQL Server, Power BI, Statistical Analysis
Impact: Improved patient outcome predictions by 30% and reduced readmission rates through data-driven interventions
🤖 Automated Reporting & ETL Pipeline
Designed and implemented automated data pipeline system reducing manual reporting time by 80% through intelligent data extraction, transformation, and loading processes.
Key Features: Automated data extraction from multiple sources, real-time data validation, scheduled report generation, error handling & alerts
Technologies: Python (automation scripts), AWS Lambda, Power Automate, SQL Server Integration Services
Impact: Saved 15+ hours weekly across teams and eliminated manual data entry errors through intelligent automation
📈 Investment Performance Dashboard
Created comprehensive financial analysis tool for portfolio performance tracking, risk assessment, and investment strategy optimization using advanced statistical modeling.
Key Features: Risk-return analysis, portfolio diversification metrics, performance benchmarking, predictive modeling for market trends
Technologies: Python (numpy, pandas, yfinance), Excel VBA, Tableau, Statistical Modeling
Impact: Enabled data-driven investment decisions with 20% improvement in risk-adjusted returns through quantitative analysis
Major: Business Analytics & Management Information Systems
Minor: Public Health
Expected Graduation: May 2026
GPA: 3.70/4.0
Academic Honors: Dean's List (2022-2025), Chancellor's List (Spring 2023)
Focused coursework in advanced analytics, data mining, statistical modeling, business intelligence, and information systems management with emphasis on practical application in real-world business scenarios.
Charlotte, NC