Data Science / ML / AI / Autonomous Engineer Candidates
If your organization is data driven, then you must review Ridgebacks Data Science / ML / AI / Autonomous Engineer Candidates.
Name: MB
EDUCATION
M.S. Electrical Engineering
B.S. Physics
CORE STRENGTHS:
➢ Computer Vision: Machine Learning using feature metrics, classification, sensor fusion, clutter rejection, Fourier analysis, histogram equalization.
➢ Applied Mechanics: Develop motion dynamics algorithms of sensor platform and tracked object motion, progressing to track filter design and evaluation; sensor localization.
➢ Research and Development: Design and improve algorithms for statistical and engineering models for radar and electro-optical defense systems.
PREVIOUS POSITIONS
Modeling & Simulation Engineer (Contract)
GNC Algorithm Engineer
RF Algorithm Engineer (Contract)
EDUCATION
2023 PhD Artificial Intelligence
2020 Post-Master Degree in Machine Learning & Artificial Intelligence
2020 Post-Master Degree in Data Science & Python
2017 MS in Data Science,
2007 MS-IT
2004 BS Computer Science (BS-CIS)
CORE STRENGTHS
➢ Extensive experience in Data Scientist, Predictive Modelling, Text mining, Data Mining, Data Visualization, Machine Learning and Deep Learning
➢ Experience in Data Migration, Data Cleansing, Transformation, Integration, Data Import, Data Export and Reporting.
➢ Strong focus on Python Statistical Analysis with ML techniques in challenging environments.
PREVIOUS POSITIONS
Lead Data Scientist
Data Scientist
Data Science Course Trainer
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EDUCATION
PH.D., COMPUTER ENGINEERING
M.S., COMPUTER ENGINEERING
B.S., COMPUTER ENGINEERING
CORE STRENGHTS
➢ Broad background in mathematics, probability and statistics, and AI/ML.
➢ Experience with defining, developing, and fielding a wide variety of advanced analytics including efforts that incorporate information fusion and multi-hypothesis reasoning, Bayesian Reasoning and Fuzzy Logic….
➢ Completed the Coursera Deep Learning Specialization and successfully secured a research contract with the Air Force to apply deep networks to a classified air traffic analysis problem set.
PREVIOUS POSITIONS
CHIEF SCIENTIST FOR MACHINE LEARNING
DEPUTY DEPARTMENT HEAD, DEPARTMENT OF MATHEMATICAL SCIENCES
TECHNICAL LEAD, SOFTWARE ARCHITECTURE
EDUCATION
2020 Ph.D. in Computer Science
2016 M.S. in Computer Science
2014 B.A. in Computer Science and Mathematics
CORE STRENGTHS
➢ SME In Wearable Technology advances research in Healthcare and Athletic Performance.
➢ SME Knowledge in: wearable technology, sensor systems, smart health, high performance athletics, ubiquitous and mobile computing, and internet of things.
Education
2018 MS Data Science
2006 MBA
CORE STRENGTHS
➢ Developing strategic vision and scaling up applied technology teams by utilizing advanced data-driven technologies, systems and processes that result in faster time-to-market with product-program launches.
➢ Setting the direction of technology, intelligence & analytics teams in strategic planning, solution design and process improvement, as well as business analysis activities, revenue planning and forecasting to ensure future revenue and top line growth.
➢ Analyzing data using state-of-the-art tools and building key business insights; owning them from initial research all the way to reusable, production-tested models that can be deployed at scale for customers globally.
PREVIOUS POSITIONS
Artificial Intelligence & Intelligent Automation Consultant for Big 4 firm
IP Protection Manager | Data Analytics
Innovation & Technology Solution Leader
Data Scientist and U.S. Air Force veteran with 17+ years of experience seeking to leverage extensive background in data science, data analysis, and geospatial expertise into a permanent full-time Data Scientist or Data Analyst role. Achievements include creating scripts and models reducing manual data processing by 60% and decreasing code errors by 25% on over 1.2 billion records. Highly skilled in data formatting, data visualization, and process automation.
EDUCATION
Master of Science – Geographic Information Systems (MGIS)
Master of Arts – Criminal Justice, Counterterrorism
Associate of Applied Science – Communications Applications Technology
Bachelor of Arts – Criminal Justice
PREVIOUS POSITIONS
Senior Data Scientist
Senior Targeting Officer
Senior GIS Database Engineer
Senior Geospatial Analyst
I am an experienced data scientist with a proven track record of creating models that improve the bottom line. I’m passionate about using data to provide insights to the business.
PAST POSITIONS
Data Scientist in the Advanced Analytics group
Senior Data Science Consultant
Adjunct Faculty
Corporate Quality Manager
EDUCATIONS
MS – Applied Statistics, Rochester
BS – Chemical Engineering, New Brunswick, NJ