Programmer Analyst - Cypher Alchemy R&D
Current- R&D lead of a novel financial data ETL and analysis system- Machine learning and optimization algorithm developer focused on implementation, testing, and benchmarking of novel concepts
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Raul Rios is listed as R&D Analyst at Lone Star Analysis at Lone Star Analysis, a company with 112 employees, based in Dallas, Texas, United States. AeroLeads shows a matched LinkedIn profile for Raul Rios.
Raul Rios previously worked as Programmer Analyst - Cypher Alchemy R&D at Lone Star Analysis and Assistant Technical Staff - Space Systems and Technology at Mit Lincoln Laboratory. Raul Rios holds Bachelor Of Science (B.S.), Aerospace, Aeronautical And Astronautical Engineering, 4.7/5.0 from Massachusetts Institute Of Technology.
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Raul Rios is a Programmer Analyst within Lone Star Analysis. He is responsible for designing and implementing analysis infrastructure and tools, analytics workflow processes, and complex data visualizations. Along with his mentoring role, his expertise spans over developing algorithms for signal and image processing, developing, testing, and fielding custom software and hardware solutions for data collection, and actively supporting our Research and Development efforts. His technical facets include architecture design, modeling and simulation, testing and validation, and data analysis and interpretation. Raul received his B.S. in Aerospace Engineering from the Massachusetts Institute of Technology.
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Addison, Texas, United States
- R&D lead of a novel financial data ETL and analysis system- Machine learning and optimization algorithm developer focused on implementation, testing, and benchmarking of novel concepts
- Developing, testing, and fielding custom software & hardware solutions for data & image collection and processing- Modeling imaging sensor performance- Algorithm development for signal and video processingPlease refer to the Projects Section for details of my work.
- Calculated link budgets for satellite data downlink and conducted trade studies for ground station configurations over the span of 10 weeks
Cleveland/Akron, Ohio Area
- Analyzed an all-electric regional aircraft for feasibility in the future- Developed flight analysis program using modeled advances in motors and batteries- Conducted sensitivity analyses to various technologies on design- Research taken under advisement by various researchers and corporate executives
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John Boyett
Colleague at Lone Star Analysis
Colleyville, Texas, United States, United States
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Zachary Kvale
Colleague at Lone Star Analysis
Dallas-Fort Worth Metroplex, United States
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Mark Kilduff
Colleague at Lone Star Analysis
Wylie, Texas, United States, United States
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Kate Roberts
Colleague at Lone Star Analysis
Dallas, Texas, United States, United States
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Carole Gagnon
Colleague at Lone Star Analysis
Toronto, Ontario, Canada, Canada
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Rhiannon M
Colleague at Lone Star Analysis
Little Elm, Texas, United States, United States
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Alexander Crabtree
Colleague at Lone Star Analysis
Plano, Texas, United States, United States
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TN
Tom Nall
Colleague at Lone Star Analysis
Tyler, Texas, United States, United States
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Rachel Ferguson-Civiero
Colleague at Lone Star Analysis
Georgetown, Ontario, Canada, Canada
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Nickalus H.
Colleague at Lone Star Analysis
Addison, Texas, United States, United States
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Quick answers generated from the profile data available on this page.
Raul Rios works for Lone Star Analysis.
Raul Rios is listed as R&D Analyst at Lone Star Analysis at Lone Star Analysis.
Raul Rios is based in Dallas, Texas, United States while working with Lone Star Analysis.
Raul Rios has worked for Lone Star Analysis, Mit Lincoln Laboratory, and Nasa Glenn Research Center.
Raul Rios's colleagues at Lone Star Analysis include John Boyett, Zachary Kvale, Mark Kilduff, Kate Roberts, and Carole Gagnon.
You can use AeroLeads to view verified contact signals for Raul Rios at Lone Star Analysis, including work email, phone, and LinkedIn data when available.
Raul Rios holds Bachelor Of Science (B.S.), Aerospace, Aeronautical And Astronautical Engineering, 4.7/5.0 from Massachusetts Institute Of Technology.
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