Brent Field Email & Phone Number

New York, Ny, Us

Bangalore, In

For a Fortune 50 logistics company:➤ Won the Infosys Technology Gold Award for leading the successful buildout and production deployment of a global, low-latency prediction system that scales to billions of daily inference calls a day➤ Architected the streaming prediction system, which was implemented in Azure using Flink, Python, Even Hubs, Kubernetes, and automated MLOps pipelines➤ Directed two modelling teams in the development of production deep neural networks that navigated complex modeling constraints➤ Led 10 project data scientists and engineers, providing direction to multiple modeling teams as well as cross-functional project teams, and mentoring, coaching, and developing consultants to support client management, architecting, and codingFor a $25B rail company:➤ Advised on the building of a new system to estimate train arrival times, which involved building data engineering pipelines and machine learning models➤ Developed an AutoML training pipeline with a custom loss function to vastly increase the number of model architectures evaluated➤ Quantified the profitability gain for the client by tying a prediction system into a customized financial modelFor Infosys Consulting:➤ Successful pursued multimillion dollar engagements➤ Serve as a counselor and mentor to junior AI consultants➤ Creates thought leadership on industry data and analytics trends, contributing to the development of practice offerings

Atlanta, Ga, Us

➤ Led the Data Science/Research team for a prominent real estate advisory & investment banking firm; personal specialization in the development of data algorithms/technology for the multifamily, office, and hotel real estate markets➤ Leveraged data and advanced analytics to increase the average closing price, assignments, sales volume, and transactions➤ Built data pipelines and algorithms to forecast real estate supply, demand, valuations, and likelihood-to-sell➤ Leveraged multi-objective optimizations to identify buildings and neighborhoods in high value market niches➤ Built a Dask based distributed computing environment using Docker, Kubernetes and Amazon Redshift➤ Applied natural language processing on tens of millions of financial documents to generate proprietary features and ML models to produce competitive and impactful insights➤ Aggregated data from internal resources, licensed real estate data, property tax records, census data, economic data, mobility data, origin-destination data, and data scraped from third-party websites➤ Leveraged Python, R, SQL, AWS and GCP cloud-based services for storage, database, distributing computing, and geospatial/mapping data to generate advanced analytics

New York, Us

➤ Led the technological strategy for a privately held fashion and apparel industry startup, working closely with the Creative, Production, Marketing, Operations, and Logistics teams➤ Architected from scratch, launched, and headed the development of a direct-to-customer boxed subscription product that featured a recommender algorithm that matched inventory and customers’ fashion tastes to pick coordinated outfits➤ Led the engineering team, aggressively acquiring and training new talent to develop future leaders, maximizing professional development, personal contribution, and performance➤ Built a DevOps deployment pipeline that deployed configuration changes, code and model updates nightly➤ Engineered a stable, high-uptime, production service that ran warehouse operations➤ Created new, and evolved legacy data and analytics strategies, including those aimed at evaluating market and product performance➤ Implemented regression, classification, constraint-based optimization, and hybrid recommendation methods, all implemented using the Python data science stack, MSSQL and PostgreSQL, in AWS

➤ Architected a novel data science/big data algorithm and product that contributed to winning the 2015 British general election (tactical capabilities were described in the articles below)➤ Developed the company-wide data science strategic vision and delivered thought leadership and innovation in process, technique, and implementation➤ Contributed to building a production environment that implemented nightly DevOps code deployments and retrained ML models nightly on production data➤ Provided expertise in machine learning, statistical methods, and programming with open-source languages/frameworks, and synthesized complex concepts that resonated with both technical and non-technical audiences➤ Managed and coded key business of technology in Python and R, and using ML, Bayesian methods, optimization, advanced sampling, debiasing methods, and other advanced analytics methods➤ Generated the Data Science roadmap based on the business priorities

Greenwich, Ct, Us

Advisor, NCRI Stealth-Mode Tech Start-Up – Network Contagion Research Institute, Princeton, NJ – 2018Neuroimaging Specialist – Princeton University, Princeton, NJ – 2013 to 2015Consultant, Machine Learning & Functional Neuroimaging – Princeton University, Princeton, NJ – 2010 to 2013Associate Research Scholar – Princeton University, Princeton, NJ – 2006 to 2010Research Staff Member – Princeton University, Princeton, NJ – 2004 to 2006Program Manager, MSN/Windows Messenger – Microsoft Corporation, Redmond WA – 2001 to 2004Consultant & Postdoctoral Researcher, Microsoft Research – Microsoft Corporation, Redmond, WA – 2000

Doctor Of Philosophy - Phd, Psychology

Master Of Science - Ms, Psychology

Bachelor Of Science - Bs, Cognitive Science