Post-sales business optimizations through technology and deep knowledge of industry
Collecting, sanitizing and centralizing big data for analytics and machine learning use cases
Creating a fully encapsulated digital product - from idea to implementation.
Developing, planning, and forecasting exciting new opportunities
Currently leading a data science and analytics team in Healthcare to optimize marketing and reputation efforts nationwide.
As an associate I was responsible for feature planning, project estimation, issues management, risk management and change control within my data science and engineering team.
Worked on experienced teams to deliver technology and strategy solutions to clients. Most experiences involved working with clients to understand business requirements, and then designing, coding and testing the solutions.
Consultant and lead android developer working in tandem with the iOS division.
Conducted independent cybersecurity research on Visible Light Communication
Managed a data science team using Pandas to perform analytics and optimize marketing efforts for an organization in Healthcare.
Created data analysis tools for rapid development in Databricks, Azure Synapse, and Azure Data Lake.
Automated machine learning environments for a Fortune 10 company enabling data scientists to quickly mount data for model training and evaluation and deploy models to production endpoints.
Created a robust ingestion engine automated to copy structured data from multiple on-prem sources into a cloud data lake for machine learning and analysis.
Developed and implemented the core data platform for a Fortune 500 company. The platform consisted of a costing and pricing engine with a backtesting system to continuously improve mathematical models based on a current and historical flow of sales and purchases.
Developed a web first mobile app to promote pet adoption for the Houston animal shelter, BARC.
Developer on a dual platform mobile app designed to reduce medical wait times by automatically checking patients in and informing them when doctors are running behind.