SUMMARY:

A data scientist, enterprise information and search architect, big data architect & global data strategy leader; an inventor for customer - focused, innovative, adaptive clients, and comfortable communicating, coding, designing, and testing with world leading miniaturized ADAS hardware vendors.

TECHNOLOGY SUMMARY:

Data Science & Viz: R, RStudio, SPSS Modeler, SPSS, QlikView, MDX, Tableau, Anaconda Spyder, SAS, SSAS, SAS EM

AI/ Neural Nets: TensorFlow, Keras, Word2vec, Doc2vec, CNNs, ANNs, LSTM, RNNs, GANs, Theano, Torch, Bidirectional LSTM

Ontology, Semantic Web Modeling: Magic Draw Visual Ontology Modeler, Smartlogic, RDF, RDFA, Turtle, SKOS, OWL, OWL2, SPARQL, Linked DataNeo4j, Open World Lexicography Assumptions, Ontology Frameworks, Revelytix, Protégé, Titan, Datu, GraphLab

Disambiguation: SmartLogic Semaphore

Architectural Modeling: Magic Draw, Mega, Troux, IBM Rational, Sparx EA, ArchiMate, Planview, ARIS

UML Modeling: Magic Draw, Zachman, TOGAF, RUP, ArgoUML, RSA

Hardware: NXP, Infineon, Vector, FGPAs, Kvaser, Cradlepoint, NVIDIA GPUs, Custom, Intel

Cloud: AWS, Azure, GCP, Oracle, IBM

Glossary, Models: BG, ACORD Framework, Automotive All Divisions; Healthcare; Utility; Gas & Oil Process; GRC; Enterprise, Universal

Big Data, NoSQL: MemSQL, Hortonworks, Cloudera, Intel, Sqrrl, Cassandra, MarkLogic, Couchbase, Cloudant, Alpine LabsDataStax, MongoDB

Pivotal Platform: HAWQ, Gemfire, Spring XD, MADlib, PivotalR, Greenplum, PostgreSQL, PL/R, Pythonu, plpy

Watson: Watson Knowledge Studio, Watson Explorer, Watson Explorer Content Analytics

Data Modeling: IBM IDA, UML, ERwin, Sandhill, Rational Data Architect, Star Schema, Snowflake, Power-Designor, NavigatorJames Martin, IEF, IEW, 3rd Normal Form, ER/Studio, SA, RDA, ADRM, Big Data Modeling Techniques

ETL, ELT, ETML, EAI: Sqoop, pig, Apache NiFi, Composite, Information Server, Informatica, ETI, Data Stage EE, SAS ETL, SSIS 2008; Talend

Data Profiling/Quality: Exeros/ CA ERwin Data Profiler (now IBM Optim), Evoke AXIO (now Informatica Data Explorer), SAS, Profile StageInformation Analyzer, Talend Open Profiler; BODS Data Profiler, EIM, Information Steward; Trillium

Metadata: MITI MIMB, Unicorn, IBM Metadata Workbench, MetaStage, Ron Ross, Platinum Repository, Global IDS

Database: MemSQL, Pivotal Hawq, Hortonworks, Redis, Kudu, z/OS DB2, UDB DB2, SQL Server, MySQL, PostgreSQL, Hana

Graph Databases/Layers: AllegroGraph, GraphLab/Dato, Giraph, GraphX, Neo4j, Titan, AWS Neptune, JanusGraph

Analytics Hardware: MemSQL, Netezza, iSAS, Oracle Exadata, EMC Greenplum, Quad/Dual Core, zSeries, S390, pSeries, Linux

Confidential /DM Methodologies: Kimball Conformed Dimensions, Chris Adamson, Inmon CIF

Enterprise Search: Solr, LucidWorks, Coveo, Attivio, MindBreeze, Sinequa, Smartlogic, Endeca, Lucene, GPText, Nutch, hakia, GSAElasticsearch, FAST, Tika, Gora, Avro, PIO, Open-NLP, Stanford Core-NLP

ML, Data Mining: R tm, NLTK, SpaCy, Gensim, SAS EM, IBM Intelligent Miner, SQL Server Data Miner, Predixion

Programming Languages: C, C++, C#, Python, SQL, Go, Scala, Julia, J2EE, Perl, Bash, JMS, Ruby on Rails, Clojure, JavaScript, React.js MATLAB, Lua

Networking: SNA, TCP/IP, LU 6.2, FDDI, NXP Ethernet Switch, Infineon Aurix t397 ethernet communication; AUTOSAR, VectorToken Ring, TCP/IP over SNA, Microsoft SNA Server, Source Route Translation Bridging, Subnetting, BroutingAnsible, Backbone Configuration, OSA Tables, ESCON, FICON, EAI Mapping, MAC Address DifferentiationCAN, CAN-FD, Gateway, Hub, Routers, Switches, OSI Stack 7 Layers, Cloud Telecomm, International Signal CommGPS, Modem, Cradlepoint, Location Services, Software Defined Networking in Python, System on a Chip PCB Comm

PROFESSIONAL EXPERIENCE:

Data Scientist & Sr. Solutions Data Product Architect

Confidential

Responsibilities:

• Grew trust of AUTOSAR team, NXP leaders, Infineon leaders and internal custom System on a Chip teams
• Root cause analysis, testing, vetting capabilities of ADAS, ECU, NXP, Infineon, Vector and internal custom hardware
• Coding and testing Python, C, C++ low level hardware engineering programming for ADAS ECU ethernet broadcasting
• Coding and testing MATLAB multidimensional programming, Lua and Wireshark for field test root cause analysis
• High Level Requirements Modeling in EA Sparx for new advanced safety in vehicle application
• Work with field test engineers, system engineers, global hardware and software vendors, internal software engineering, algorithm engineering, flash testing, integration engineering, scene perception development, and OEM product relationship managers to listen to needs and define requirements for all sensor, video, audio, radar, lidar, Mobileye and camera data.
• Support Data Science and Machine Learning teams with data capabilities based on AI and machine learning algorithms capable of integrating field safety metadata and image/vision data.
• Configure, code and test GPU CUDA, CAN FD, NXP, Infineon, Custom, Vector; ROS2, RGMII capabilities
• Jira, Plastic, Polarion for ADAS reengineering of existing code base in C++
• Agile facilitation of product owner user acceptance criteria communication with the BI/Analytics Team in the energy sector
• Led reengineering NewSQL from in memory row store to column store approach for analytics, until planned IOT real time approaches
• Reviewed and analyzed ARIS enterprise architecture models for billing, time of use, inverted block key utility industry analysis
• Trained, installed, configured and mentored data scientists in SOLR AI and ML search capabilities
• Led the team in Python Dask coding Spark alternative approach
• Vetted colleague’s innovative extreme value analysis, time series, and control chart models
• As a data scientist, used git and github within VSTS and standalone
• Built new search capability in Solr 7 and Zookeeper for scalable search clusters
• Created and led A3 quality process to guide team to add formal testing capabilities and personnel to a client’s search PoC
• Data Scientist product rule inventor—SPSS Modeler for safety analysis modeling, concept extraction, text mining and analytics
• Math/statistical modeling of automotive and government data in R and Python for Safety area at FCA
• Python Coding in spaCy, Gensim, VADER sentiment analysis, TensorFlow, LSTM, scikit learn, numpy, scipy in Sublime Text 3
• Coded, tested and ran parallel programming in R and Python
• Performed specialized data science testing; vetted models in Qlikview
• Created innovative data science model decomposition process modeling
• Wrote and tested HAWQ big data SQL queries; reengineered a 40+ page query; Rewrote machine learning code in SQL
• First to install and use ElasticSearch, ELK stack including Kibana for search analytics in Python for Safety
• Based on Elasticsearch JSON, improved unstructured data analytics, tf/idf, BM25/Okapi, relevancy ranking to seconds from hours
• Engineering Team Quality Pipeline: Enhancing 270 Python modules and over 1000 functions of minimum viable code
• Guided Alerts model data science process modeling
• Part of Data Science Champion Challenger methodology to rewrite all Big Four vendor Python models in R
• Winner on data science team to understand and reengineer Pivotal PL/Pythonu Engineering component survival model from Jython
• Principal Component Analysis, Topic Modeling. Analysis of DTC and OBD codes for Connected Vehicle models
• Created strategy & bad weather machine learning vision & implementation in R, Qlikview, Hortonworks with a Hangzhou, China team
• Evaluated Netezza ESRI global mapping analysis capabilities and complete Netezza offering with IBM Netezza FPGA engineers
• Evaluated Sparx for CIM utility model mapped to relational SmartGrid data models
• Led and engineered first Tableau Server Proof of Concept in GM Labs on behalf of GM HR and Finance areas
• Connected shared dashboards for the US and Chinese teams at GM responsible for shipping Cadillacs to China
• Created Tableau dashboards in two hours from Microsoft Access global Engineering Workload models: pushed to iPad; demo’d to CIO
• Created strategy and vision for a completely new data integration, data warehouse, data marts/cubes and reporting analytics platforms for an outgoing governor, and incoming governor and all state legislators
• Created strategy and vision for a completely new data integration, data warehouse, data marts/cubes and reporting analytics platforms for an outgoing governor, and incoming governor and all state legislators
• Created a new data warehouse, new data models, new data profiling, new cubes, metadata engineering and new SSRS BI reporting
• Created new enterprise data reporting layer architecture that was vetted to be 100% accurate

Confidential

Technical Architect

Responsibilities:

• Led data quality assessments in commercial and government sectors
• Invented solutions with a wide array of product chief inventors, master scientists, and distinguished engineers
• Delivered timely world class solutions to major commercial, government and educational clients.

GM Senior Manager / Architect

Confidential

Responsibilities:

• Created a vision for global data quality and global analytics capabilities
• Managed a global data warehousing PMO & Confidential governance office
• Led all Confidential projects for architectural, software and hardware and SDP-21 methodology compliance
• Evaluated all Confidential projects for price/performance metrics and contractual alignment with the MSA and NSA
• Responsible for performance outcomes of multi-business line common data warehouse
• Reviewed data models worldwide
• Directed Worldwide Purchasing to cut ETL design costs and design flaws by Data Profiling all WWP data
• Led and partnered with EDS to profile with the business 274 data sources in three weeks
• Solved Engineering Materials / Fasteners Webasto Sunroof issue for the Cadillac SRX with plant leaders at Lansing Grand River
• Participated in True Availability (Part Relationships), Timing, and Global Release Engineering meetings
• Formal training in Competitive Intelligence,
• Formal training in Engineering DFMEA, PFMEA, GMVDP, the GM Vehicle Development Process
• Worked with Mike Down and Ron Atkinson (president of ASQ in 2009) in Deming Quality Processes during 2004
• Engineered an EAI system to run at GB versus MB speeds
• Architected, designed, and built a new electronics bill of materials engineering to manufacturing integration system
• Architected a supplier bill of materials system in SQL and C
• Built early AI expert systems
• Built an automotive data profiling product in SAS for a large automotive

Confidential, Virginia, North Carolina

Function Tech

Responsibilities:

• Electronics Tech for all signal function distribution for communication centers worldwide
• Weather communication tech servicing Air Stations
• 24x7 on call rotations for electronics service on all island bases
• Worked with Japanese and Okinawan civilians on electromechanical communications technology