Stephen Sequenzia

A Machine Learning Engineer, Data Engineer, Python Software Engineer and Data Scientist who advances data, analytics and statistical maturity within an organization with a portfolio of innovative and unique frameworks. Possesses an ideal foundation for data science: an understanding of the business perspective, statistics for analytical thinking, knowledge of the data lifecycle and development experience to turn ideas into tangible solutions. Assumes a leadership role in working with senior management to establish a data science architecture to support robust analytic capabilities.

Stephen Sequenzia

What I Do

Data Science

A Data Scientist is a data expert that extrapolates insights from large data sets to help organizations solve complex problems. To do so, Data Scientists combine computer science, mathematics, statistics, and modeling with a strong understanding of their business and industry to unlock new opportunities and strategies.

Machine Learning

A Machine Learning Engineer focuses on researching, building and designing self-running Artificial Intelligence systems to automate predictive models. Machine Learning Engineers design and create the AI algorithms capable of learning and making predictions that define machine learning.

Data Engineering

A Data Engineer focuses on preparing data for analytical or operational uses. These engineers are typically responsible for building data pipelines to bring together information from different source systems. They integrate, consolidate and cleanse data and structure it for use in analytics applications. They aim to make data easily accessible and to optimize their organization's big data ecosystem.

Python Development

A Python Developer is responsible for coding, designing, deploying and debugging development projects, typically on the server-side. They often work in close collaboration with data collection and analytics to create useful answers to questions and provide valuable insight.