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Advanced SQL Solutions
Mastering Data Queries
This project showcases advanced SQL techniques through practical examples, highlighting my ability to extract and analyze data efficiently. From complex joins to optimization strategies, these examples demonstrate my proficiency in database management.
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Fraud Detection System
AI-driven Fraud Prevention
Developed a comprehensive fraud detection system using machine learning algorithms to identify and prevent fraudulent activities. The project involved building predictive models that analyze transaction data to detect suspicious patterns, significantly reducing financial losses and enhancing security measures.
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Forecasting Mini-Course Sales
Sales Prediction Analysis
Analyzed sales data from a mini-course using various forecasting techniques to predict future sales trends. This project involved data preprocessing, model building, and evaluation to provide accurate sales forecasts.
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Client Segmentation
Market Analysis and Strategy Development
Performed client segmentation using clustering algorithms to identify distinct customer groups based on various attributes for an Austin investment firm. This involved analyzing synthetic client data, visualizing clusters, and developing targeted marketing strategies for each segment.
View ProjectPredicting Credit Approval
Credit Risk Assessment
Built a predictive model to assess credit approval based on various applicant features. The project utilized machine learning algorithms to predict the likelihood of credit approval, aiding financial institutions in risk management.
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Austin Violent Crime Insights Dashboard
Interactive Crime Data Visualization
Developed an interactive Tableau dashboard to analyze violent crime data in Austin, TX. The dashboard provides insights into crime patterns and helps in identifying high-risk areas, supporting law enforcement and community safety initiatives.
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Police Shootings Analysis
In-depth Data Examination
Conducted a thorough analysis of police shootings data to uncover trends and insights. This project involves data wrangling, statistical analysis, and visualization to provide a comprehensive overview of police shootings in the United States.
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