SUMMARY:

• Thirty - two years experience in data science, machine learning, and statistical modeling
• Thirty-two years experience in software development
• Experienced technical lead for data science
• Experienced product manager for data science
• Former Chairperson of Confidential, the premier professional society for machine learning
• Former patent examiner for Artificial Intelligence at the US Patent and Trademark Office
• Multiple graduate degrees
• Published researcher

SKILLS:

• Data Science, Statistical Modeling, Machine Learning, Big Data Engineering
• Agile Project Management, Engineering Management, Budgeting, Staffing
• Prediction, Classification, Regression, Dimension Reduction, Feature Engineering, Clustering
• Reinforcement Learning, Markov Decision Processes, A.I. Planning, Unsupervised Learning
• Deep Neural Networks, Autoencoders, Long Short - Term Memory (LSTM) Neural Networks
• Tensorflow, Deep Learning for J, SciKit-Learn, Python Visualization, R Visualization
• Signal Processing, Time Series Modeling, Wavelet Analysis, Fourier Analysis
• Anomaly Detection, Change Point Detection, Sequence Analysis, Markov Chain Modeling
• Graph Databases, Titan Graph Database, DSE Graph, Tinkerpop API, Spark GraphX
• Text Analysis, Natural Language Processing, Spatial Statistics, Gaussian Processes
• Data Warehouse, Extract-Transform-Load (ETL), Star Schemas, Process Measurement
• Spark, Hadoop, Hive, Oozie, Kafka, AWS, Elastic Map Reduce, Cassandra, HBase, Cloudera
• Semantic Web, RDF, RDFS, OWL, SPARQL, Jena
• Python, Scala, R, Java, C++, C, NVidia CUDA CPU programming, Assembly Language

EXPERIENCE:

Confidential, Austin, TX

Responsibilities:

• Data Science Consulting
• Research on knowledge-based planning with Markov decision processes / reinforcement learning
• Research on representation of MDP state-space as a knowledge graph
• Research on graph embeddings into deep neural networks
• Research on using stochastic graph grammars to model actions in MDPs
• Research on Nvidia CUDA GPU algorithms to implement graph operations
• Research on using simulation based deep reinforcement learning
• Research on using generative adversarial networks with deep reinforcement learning

Lead Data Scientist

Confidential, Austin, TX

Responsibilities:

• Lead data scientist for computer security problems
• Product manager for data science issues for a small product development team
• Research on anomaly detection of system or disk events using TensorFlow with autoencoding LSTM models
• Architectural design and implementation of machine learning model building and model deployment system with a multi-process Python implementation
• Research on detection of domain names generated from algorithms using Tensorflow and multi-layer LSTM Tensorflow models, trained with 8 GPU instances at AWS
• Research on change-point detection and anomaly detection of short time series, numerical evaluation of 15 different algorithms, time series modeling with Integer ARMA models for count data, R & Python
• Research on new alarm modeling technologies using Bayesian networks and Chain Event Graphs

Lead Data Scientist

Confidential, Dallas, TX

Responsibilities:

• Lead data scientist for computer security problems
• Product manager for data science issues for a small product development team
• Research on anomaly detection system for network data using an autoencoding deep neural network
• Research on methods to correlate alarms in a computer network at separate nodes using GraphX
• Implemented in Spark, GraphX, Scala, Deep Learning for J, Wavelets, AWS Elastic Map Reduce

Sr. Data Scientist

Confidential, Austin, TX

Responsibilities:

• Lead data scientist for e-commerce data science problems
• Product manager for data science issues for a small product development team
• Designed and implemented an A/B testing system of a rule set using multi-armed bandits
• Research on global optimization of a rule set using a grammar based genetic programming approach
• Research on shopping cart path analysis
• Research on graph database algorithms for shopping cart analysis
• Spark, Cassandra, Oozie, Titan Graph Database, Scala, Java, R

Chairperson

Confidential, Austin, TX

Responsibilities:

• Premier machine learning professional society
• Elected to position by local peers, Membership of 800 members
• Taught professional education classes on map-reduce algorithms and Hadoop based machine learning
• Taught map-reduce algorithms for ensemble learning, decision trees, support vector machines, hidden Markov models, numerical linear algebra, probabilistic linear algebra, stochastic gradient descent

Advanced Analytics Specialist

Confidential, Austin, TX

Responsibilities:

• Designed and implemented a corporate big data based data warehouse system using Hadoop
• Integrated multiple logging systems data with existing SQL Server data warehouse data into a Hive Structured Database
• Research on record matching using a Bayesian matching algorithm
• Research on record matching using locality sensitive hashing
• Research on NLP pipeline for sentiment analysis and topic extraction
• Java, Hadoop, Hive, Informatica, R

Consultant

Confidential, Austin, TX

Responsibilities:

• Short term contract as an ontology engineer
• Converted an object-oriented data model to an OWL ontology
• Protégé & TopQuadrant ontology editors, Jena, RDF, OWL

Sr. Research Engineer

Confidential, Washington, DC

Responsibilities:

• Worked at various defense contractors in the area of machine learning, signal processing, artificial intelligence, and multi-agent systems