David Wright Email & Phone Number

Arlington, Virginia, Us

Developed and maintained ETL (Extract, Transform, Load) jobs using Apache Spark and Apache Airflow, ensuring efficient data processing and integration.Orchestrated automated application deployment pipelines using Gitlab CI/CD and Ansible, improving the efficiency and reliability of the deployment process.Designed, implemented, and tested a RESTful API using FastAPI, enabling efficient communication and data exchange between different systems.Collaborated with cross-functional teams to optimize AWS services for cloud-based solutions, enhancing scalability and performance.Led migration effort of Airflow jobs from EC2 to MWAA, including updating and refactoring code, contributing documentation, and enabling and monitoring (CPU and memory) alerts.

Mclean, Va, Us

Designed, developed, and tested ETL pipelines to extract, transform, and load data for in-house clients, ensuring data integrity, cleanliness, and relevance.Employed AWS Lambda functions, S3 storage, DynamoDB, and CloudWatch for orchestration and data storage, streamlining the data pipeline infrastructure and ensuring high reliability.Monitored and optimized ETL processes running on Elastic MapReduce (EMR) clusters, enhancing overall system performance and efficiency.

Arlington, Virginia, Us

Working in the Professional Services division to help customers leverage Kinetica DB for their needs. Optimizing routes for same-day delivery using geospatial analysis and graph algorithms. Responsible for design, implementation, testing, and maintenance of distributed REST APIs. Design and implementation of various machine learning models for routing optimization and feature engineering for pricing models. Designed and ran experiments for A/B testing of routing algorithms. Optimized well placement in oil fields using geospatial analysis. Things used: Docker standalone/compose/swarm, Jupyter notebook, Python, Kinetica DB, Redis, Git, Jira, Dask.

Great Falls, Virginia, Us

Design and implement analytics for real-time systems, including topic modeling, clustering, and anomaly detection. Data modeling, infrastructure design, and code implementation of microservices fornext-generation aircraft flight path adjudication.Research, design, documentation, and diagramming of system responsible for airspacemonitoring, reporting, visualization, and analytics.Designed streaming framework for duplicate detection of large text corpus. Operating Systems: Ubuntu.Streaming Systems: Kafka, streamparse, Spark Streaming. Databases: ElasticSearch, Redis, Jena, MongoDB. Visualization: Kibana, matplotlib. Languages: Python, SPARQL. DevOps: Docker, AWS, Terraform.

Design, implement, and optimize neural network algorithms on massive data sets for computational advertising (predicting click-through rate and optimal bid prices), using supervised and reinforcement learning, saving clients on average ~65% cost. Write and maintain SQL code base for reporting/analytics. Work directly with senior executives to ensure clients' needs are exceeded. Feature engineering and prediction for health care data, specifically hospital reimbursements and readmissions, from original and 3rd party data. Automated neural network parameter tuning using Bayesian optimization.

Miami/Fort Lauderdale, Fl, Us

Develop curriculum and teach online courses in machine learning. Finished courses include Content Optimization with Multi-armed Bandits. Future courses include Neural Networks in Python, and Global Optimization for Model Selection. Write blog posts for machine learning.

Washington, D.C., Us

Increased email open rates to 17%, as opposed to 13%, by segmentation and A/B testing, for 1.4M email list.Used machine learning for lead scoring, boosting accuracy by 9% for 0/1 sale predictions. Performed web crawling and scraping of ~11,000 websites for consulting and market analysis.Performed social network analysis research on entrepreneurial and organizational networks.Developed prototype career guidance recommender engine based on user personality profile. Teach basic machine learning in Python to group of interns. Used sklearn library. Currently developing collaborative filtering recommender system for news/advertising content using item-item similarity. This is applicable to our home page and email campaigns.

Washington, District Of Columbia, Us

Serve as a backup instructor and teaching assistant for Intro to Data Science in R. http://datasociety.co/

Norfolk, Va, Us

Researching complex networks. Thesis topics include network self-similarity, edge sign prediction, link prediction, cascade size prediction.

Norfolk, Va, Us

ENGN 110/111, MSIM 601• grade assignments• tutoring and substitute-teaching

Norfolk, Va, Us

Taught CS1 and CS2 computer science courses. Graded assignments, quizzes, exams, etc. Tutored during office hours. #c++ #cplusplus

• designed new GUI for PORTSIM application• wrote code in Visual Basic• presented in meeting and teleconferences

Randolph Afb, Tx, Us

Final Rank: E4• two deployments to Middle East (Iraq and U.A.E.)• managed base-wide logistics for deployments• honorable discharge• held secret clearance

Doctor Of Philosophy (Ph.D.), (Phd Candidate In) Modeling, Simulation, And Visualization Engineering

Graduate Certificate, Mining Massive Data Sets

Master Of Science (M.S.), Computer Science

B.S, Computer And Information Science