Patrick Mazza Email & Phone Number

New York, Ny, Us

New York, New York, United States

- Processed and pre-processed millions of healthcare claims data, leveraging Generalized Linear Models (GLMs) in Stata18 to enhance decision-making and support evidence-based medical practices.- Extracted, cleaned, and validated diverse datasets from multiple sources, translating complex clinical questions into actionable queries to streamline statistical analysis and improve data quality.- Conducted advanced quantitative analyses including hypothesis testing, classification, regression, clustering, feature selection, and time-series analysis, generating actionable insights and driving data-informed decisions.- Visualized and interpreted complex data through a range of analytical techniques, enabling the development of strategic recommendations and improvements in medical practices.

New York, United States

- Developed sequencing tools in R to analyze genomic DNA sequencing through a SLURM HPC Cluster, focusing on variations in tumor development and enhancing understanding of cancer genomics.- Applied Machine Learning techniques to process DNA computational datasets, integrating ML methodologies to analyze a select group of dispersed genes, observing Differential Expression, and conducting downstream analyses for actionable insights.

Phoenix, Arizona, United States

- Developed backend data ingestion architecture in Golang for the Partner Payment Management Information System, enabling reactive microservices to efficiently handle upstream datasets from partner organizations.- Streamlined the testing process for Card products created in the Db2 database by designing a regression suite that automated tests for new products in the partner pipeline, stored in Docker containers.- Deployed production code that managed data through RTF to authenticate and validate partner card products, leveraging Amex’s first-party API on Postman Enterprise to ensure a seamless product life cycle.

United States

-Founded and led a team to develop an energy-efficient carbon fiber drone (UAV), optimizing flight time and efficiency for navigating multiple waypoints.-Implemented a genetic algorithm in C for the UAV, reducing energy consumption and enhancing power optimization by a factor of five compared to the original design.

Manhattan, New York, United States

-Published research in the European Journal of Physics (2021) titled “Holographic Hadron Masses in the Language of Quantum Mechanics,” contributing to the advancement of theoretical physics.- Programmed visualization functions in C to graph eigenvalue masses of differential equations, enhancing the analysis and interpretation of complex theoretical models.

New York City Metropolitan Area

-Implemented unsupervised optimization-based Data Assimilation techniques to analyze sparse datasets and explore neutrino particle behavior.-Submitted machine learning-like tasks to a SLURM HPC Cluster for efficient parallel processing and large-scale data analysis.-Developed and coded Python functions for a supercomputer environment, leveraging parallel processing to build predictive models.-Visualized the evolution of neutrinos through space using Jupyter Notebook for large data set analysis and modeling.

Staten Island

-Educated children from ages 6-14 about basic programming languages such as Java, Python, HTML, and Lua.-Taught new technologies such as Virtual and Augmented reality.Ability to get a class of 12-18 children to each have their own personal projects such as programming their own websites with HTML and games with Python.

Master Of Engineering - Meng, Electrical And Computer Engineering, Gpa: 3.88

Activities and Societies: Founder and President of PiTech (Public Interest Technology) Student Club

Master Of Engineering - Meng, Electrical And Computer Engineering

Electrical And Computer Engineering, Computer Engineering, 3.77 Gpa

IEEE (Institute of Electrical and Electronics Engineers) Promoting the development and application of electrotechnology and related.