My Projects
Here are some of the projects I've worked on, showcasing my skills in data analytics, engineering, and machine learning.
Predictive Analytics for Aeyon
Developed predictive models using advanced analytics on financial data to optimize resource allocation and project forecasting for federal contracts. Improved efficiency and reduced costs by 25% while adhering to compliance regulations.
Tools Used: Python, R, SQL, Qlik
Data Pipeline Optimization for Ford Motors
Designed and implemented data pipelines to enhance real-time data processing in the manufacturing division. This project reduced downtime by 15%, contributing to a more agile manufacturing process.
Tools Used: Apache Spark, SQL, Qlik
Clinical Trial Data Analysis for Amgen
Conducted comprehensive data analysis on clinical trial data to support drug development processes. The insights gained expedited the development timeline for key pharmaceutical products.
Tools Used: Python, R, Spotfire
Customer Behavior Analytics for Capital One
Created models to analyze customer behavior and transaction patterns, leading to targeted marketing strategies that increased customer retention by 20%.
Tools Used: SQL, Python, Tableau
Energy Management Optimization for Brightly Software
Developed an analytics platform that optimizes energy consumption for commercial buildings, resulting in a 30% reduction in energy costs through actionable insights.
Tools Used: Microsoft Azure, R, Power BI
Fraud Detection System Enhancement for NetSpend
Improved the existing fraud detection system by implementing machine learning algorithms that identified suspicious transactions in real-time, reducing fraud-related losses by 40%.
Tools Used: Python, SQL, Apache Kafka, Qlik
Bioengineering Data Analytics for Bayer
Analyzed bioengineering data to support research initiatives in pharmaceuticals. Developed data-driven insights that enhanced drug efficacy and patient outcomes.
Tools Used: Python, R, SQL, Tableau
Healthcare Analytics for United Health Group
Developed analytics dashboards to track patient health data, providing insights that informed better health interventions and improved patient outcomes.
Tools Used: SQL, R, Python, Qlik
