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credit-card-fraud-anomaly-outlier-detection

The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.

cultural-health-moments

Explore the 'Cultural Health Moments' project, analyzing the impact of cultural events on digital health consumers' search behavior. Access code, data, and insights to uncover opportunities for disease awareness and engagement strategies.

developing-a-score-to-measure-riskiness-of-residential-properties-insurance

Objective, create a scoring model that assesses the riskiness of residential buildings (homes, apartments, and condos) in New York City. This model will assist insurance underwriters by utilizing data from NYC 311 service requests, FDNY incidents, and NYPD crime data, to develop a scoring mechanism for property risk assessment.

general-utility-tools-

This has some scripts that I randomly use!!

market-basket-analysis-on-the-online-retail-data

The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.

nhanes-data-visualization-dashboard

Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.

nhanes-eda-on-health-disparities

This project aims to conduct a thorough Exploratory Data Analysis (EDA) using NHANES Demographic and Questionnaire Data to investigate and gain an understanding on health disparities & Inequities in the U.S. Our goal is to identify the key factors contributing to health disparities and provide insights for promoting health equity.

nhanes-pytool-api

The NHANES Data 'API' is a Python tool that simplifies access to the National Health and Nutrition Examination Survey (NHANES) dataset. This project provides an easy-to-use API to retrieve NHANES data, helping researchers, data scientists, health professionals, and other stakeholders access these valuable datasets.

portfolio

time-series-analysis-on-freighter-shipping-prices

Objective, to perform time series analysis and forecasting on container shipping prices for three major maritime routes: North America East Coast to China/East Asia, Europe to North America East Coast, and Europe to South America West Coast. The data used for this analysis was collected from The Baltic Exchange, a source of maritime market data.