1. Providing technical and non-technical leadership and direction to members of our engineering team.2. Collaborating with the other team members to create new processes, implement engineering methodologies, and identify best practices.3. Providing cultural stewardship, overall ideation, and assistance in scaling our engineering team,4. Taking an active role in technical risk management for a variety of projects5. Communicating technical decisions to the appropriate stakeholders, resolving blocking issues, and keeping the engineering team operating smoothly6. Assisting with resource planning and management.7. Consulting with our Growth team to understand prospective client needs in order to accurately scope and successfully deliver solutions8. Interfacing with clients to assist in client meetings, helping manage client relationships, and creating project artifacts

- Identify and conduct interviews for new faculty and provide comprehensive support during faculty onboarding by introducing and reviewing new data science curricula.- Collaborating with staff to incorporate a business case that students will follow throughout each module of the Data Analytics certificate program and develop a new data-driven decisionmaking workshop.- Advise and work with faculty on new professional programming including certificates, bootcamps, and workshops.

- Serve as an Adjunct Faculty and SME for the Data Analytics certificate, Data-driven decisionmaking, and the Data Science certificate programs by developing course curricula and leading lectures for 170+ students.

- Teach the Master’s level-course Python for Data Analytics and Visualization that has enabled 80 students with little to no Python programming experience to visualize and analyze data for capstone projects.

- Define the data vision and strategy for the entire organization including the development of AI and automation initiatives and a program that up-skills non-technical workers for data analyst positions; increasing data literacy by 10%.- Reduced customer churn, implemented custom pricing dependent on the utilization of services, and optimized customer lead forecasting while working with executive stakeholders to align data science and corporate strategies.- Leading the development of a next-generation ML/AI capability and operating model as part of the reinvention and reengineering of bookkeeping across the enterprise based on a new team-based structure to increase productivity 4-fold.

- Designed and developed methods, processes, and systems to consolidate and analyze unstructured and diverse big data sources and generate actionable insights and solutions for client services and product enhancement.- Provided government client’s with the ability to detect evasive and abnormal flight patterns of aircraft entering the United States and identify ships that may run aground in environmentally protected areas.- Built Data Science pipelines for the creation of ML Classification models using Python.

- Built Machine Learning pipelines for a PoC that allowed organizations to rapidly respond to changes in the regulatory space by predicting the effects of new regulations using a RF Classification model.- Optimized inventory efficiency for a retail reseller client by wrangling and assigning unstructured text to the appropriate topic label using a Random Forest Classification model and predicting retail product movement.

- Developed 3D transformation algorithms to compare similarities in biological structures using C++.- Created open-source scientific software that integrated a computer vision algorithm and an Iterative Closest point into the workflow for precise alignment of structures using C++ and Python.