Daniel Fudge

Daniel Fudge has a diverse work experience spanning different industries and roles. Daniel started their career as an Engineering intern at General Motors in 1999. From 2001 to 2003, they worked at CAE as a Flight Systems Specialist, where they generated flight models for various clients and integrated them into Full Mission Simulators. In 2004, they joined MDA as an Engineer and worked there till 2011. During their time at MDA, they gained experience in engineering roles. In 2011, they joined Pratt & Whitney Canada as a Staff Engineer, where they developed processes and technologies to optimize engine design costs. Daniel later advanced to the role of Senior Manager and then Associate Director. In 2022, they joined Very as the Director of ML and Data Engineering, a fully-distributed IoT engineering firm focused on smart manufacturing, smart energy, consumer electronics, and connected wellness. Overall, Daniel Fudge's work experience demonstrates their expertise in engineering, data analysis, and leadership roles in various industries.

Daniel Fudge's education history can be summarized as follows:

Daniel Fudge pursued a Concurrent Master of Business Administration and Financial Engineering (MBA/FNEN) degree from the Schulich School of Business - York University. Daniel attended the program from 2017 to 2020.

Prior to that, in 2002, they completed their M.A.Sc. degree in Computational Aerodynamics from the University of Toronto, where they specialized in that field.

In 2019, Daniel Fudge obtained two Nanodegree certifications from Udacity, one in Deep Learning and the other in Deep Reinforcement Learning.

In 2018, they attended a program at the Massachusetts Institute of Technology - Sloan School of Management focused on Artificial Intelligence, Machine Learning, Natural Language Processing, and their application in Business.

Before pursuing their master's degrees, they completed a B.A.Sc. degree in Aerospace Engineering from the University of Toronto in 2001. Prior to that, they obtained a B.Eng. degree in Electrical Engineering from Memorial University of Newfoundland in 1997.

In addition to their formal education, Daniel Fudge has also obtained various certifications. Daniel completed the Machine Learning Specialization course from Coursera in August 2022. Furthermore, they obtained certifications in Advanced Python from LinkedIn, Python 3 Programming from the University of Michigan, and completed the Machine Learning and Reinforcement Learning in Finance Specialization from Coursera, all in 2019. In 2018, they completed the Artificial Intelligence: Implications for Business Strategy program from MIT Sloan Executive Education, as well as various courses on DataCamp related to Python, Financial Concepts, Time Series Data Manipulation, and Portfolio Risk Management.

Recently, they have also obtained several certifications related to Amazon Web Services (AWS). Daniel became an AWS Certified DevOps Engineer - Professional in January 2022, an AWS Certified SysOps Administrator - Associate in July 2021, an AWS Certified Machine Learning - Specialty in June 2021, an AWS Certified Solutions Architect - Associate in June 2020, and an AWS Certified Cloud Practitioner in May 2020. Additionally, in December 2018, they became an AWS Certified Developer - Associate.

Apart from the provided educational records, there is no information available about Daniel Fudge's completion of the Data Analyst with Python, Data Manipulation with Python Skill Track, or Data Scientist with Python programs from DataCamp.