Data science engineer with over 10 years of experience providing advanced solutions to business and technical challenges through data exploration, statistical analysis, ai/ml model selection, integration and process development engineeringMy background includes machine learning, detection/classification, predictive analytics and time series forecasting algorithm development in support of wireless network engineering, missile defense, electronic warfare and wireless network modeling and simulation. Over the past several years I have focused on deep learning transformer model applications research including LLM and Generative AI leveraging OpenAI and Meta models and APIs such as ChatGPT, DALL-E and LLaMA.
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Lead Data ScientistCharter Communications Dec 2021 - May 2024Greenwood Village, Colorado, United States- At scale design, development, spark optimization and deployment of AI/ML cloud based ETL pipelines leveraging scala, spark, pyspark, bash scripting and AWS- Point of contact for wireless strategy and mobile reporting senior leadership stakeholders seeking geospatial AI/ML research solutions to improve business insights and decision making- Requirements definition, strategy development, test planning, execution, visualization and summary analyses of advanced wireless network engineering challenges and solutions- Gitlab epic and issue board management, merge request review and Jira ticket alignment- Onboarding and technical support of junior data science team members for on-prem and cloud based best practices -
Data Scientist IvApex Systems Mar 2020 - Dec 2021Denver, Colorado, United StatesCharter Communications Data Science Contractor -
Machine Learning EngineerVadum Inc. Jul 2008 - Sep 2019Raleigh, Nc- Worked closely with US DoD technical points of contact to identify, design and develop machine learning and statistical signal processing solutions for advanced RF challenges- Proposal writing, requirements, design, development, verification, validation, accreditation test planning, execution, documentation and summary analyses for DoD small business innovation research- Led small engineering teams performing multiple machine learning, modeling, simulation, analysis, software development and research for RF communication and radar systemsStaff Engineer - 12/2018 to 9/2019- ISAR image detection and classification algorithm development and model selection- ISAR image and statical interference distribution generation utilizing bistatic RCS simulation tools and GAN generative AI to augment government provided training dataSenior Engineer - 12/2016 to 11/2018- Missile detection, classification and machine learning algorithm development and evaluation- Missile trajectory and post intercept debris statistical and physics based modeling- Radar detection and classification algorithm development using natural language processingProject Engineer - 7/2008 to 11/2016- 3G/4G and WiFi network and device modeling and simulation- Designed and developed complex baseband simulation environment with statistical interference and electronic attack jamming statistical distribution and behavioral modeling- Detection, classification and machine learning algorithm development for the detection of powered-off RF communication devices - Battle damage assessment estimation for electronic warfare RF attack -
Graduate Research AssistantDuke University Jul 2006 - May 2008Raleigh-Durham, North Carolina AreaApplied physics-based statistical signal processing, machine learning and information fusion to ground penetrating radar (GPR) and electromagnetic induction (EMI) sensor data for image-based autonomous detection of buried landmines and unexploded ordnance (UXO)Digital Signal Processing Lab Instructor and Teaching Assistant -
Protection And Controls EngineerAmerican Electric Power Oct 2005 - Jul 2006Gahanna, Oh- Designed high-voltage substation transformer relay protection schemes via time-over-current analysis- Developed substation supervisory control and data acquisition (SCADA) network settings - Updated, created and verified one-line and three-phase control schematics for construction projects -
Engineering InternSprint Jun 2002 - Aug 2004Mansfield, Oh- Network Design (2004), network utilization analysis, ETL database queries and report generation from network traffic monitoring and SCADA equipment; VoIP E-911 circuit design- Transmissions Engineering (2003), asynchronous transfer mode (ATM), SONET, MUX and SCADA construction project engineering, equipment orders and project status tracking- Access Service Provisioning (2002), circuit to packet routing, SONET/T1/T3 circuit allocation -
Outside Plant Technician And Warehouse ClerkAdelphia Cable Communications Jul 2000 - Sep 2001Dover, Oh- Measured pole attachment heights, span distances and drafted underground right of way road permits for Powerlink hybrid fiber coax HSD network construction- Verified, updated and issued network planning maps to construction contractors- Performed as-built verification of pole attachment heights and directional boring specifications- Managed high speed data cable construction warehouse inventory, issued fiber, co-ax cable, strand and HSD network equipment to contractors and reverse sweep validation engineers
Eric Fails Education Details
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Electrical And Computer Engineering -
Electrical And Computer Engineering
Frequently Asked Questions about Eric Fails
What is Eric Fails's role at the current company?
Eric Fails's current role is Electrical engineer and data scientist integrating AI/ML technologies to advance business insights.
What schools did Eric Fails attend?
Eric Fails attended Duke University, The Ohio State University.
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Eric Fails
Orlando, Fl
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