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Sr. Data Scientist Resume

Austin, TX

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:

Sr. Data Scientist

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

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