Forward Deployed Engineer

• Feb 2023 - Present

Director of Data Science, Professional Services

• Dec 2019 - Feb 2023

Leads the data science post sales team for federal customers. The purpose of this role is to move machine learning use cases from idea to production using the DataRobot platform. This role requires a heavy consultative approach to frame the problem, as well as being a hands-on data scientist building predictive models, and data pipelines for production use. Leads the data science post sales team for federal customers. The purpose of this role is to move machine learning use cases from idea to production using the DataRobot platform. This role requires a heavy consultative approach to frame the problem, as well as being a hands-on data scientist building predictive models, and data pipelines for production use.

Senior Data Scientist

• Nov 2016 - Dec 2019

Leads Data Science teams in the implementation of machine learning techniques for clients who want to operationalize value from their data. Our teams are involved in the entire data science process from developing machine learning use case, all the way through full scale implementation of predictive models on scalable, big data platforms. The algorithms used span across the ML landscape and include: unsupervised clustering (Kmeans, Hierarchical, SOM), Ensemble methods for classification and regression problems (SVM, XGBoost, NueralNet), time series forecasting, and more general optimization and simulation development. We work heavily in elastic compute cloud environments with Spark clusters to rapidly ingest large data-sets and produce predictive accuracy to demonstrate use case viability. Additionally, helps lead the institutionalizing of Data Science discipline across the Publicis.Sapient organization through: developing a repeatable data-science process, creating best practices for machine learning at scale, and training young data-science talent. Show less

Vice President of Analytics

• Jan 2013 - Oct 2016

Helped design, build, and test the STG proprietary analytics engine, ASCENT. This engine was built to leverage complex data feeds to include: stock market data, financial statements, news feeds, and investor sentiment, in order to gain insight into market activities and forecast index movements. This effort involved implementing algorithms from a wide variety of fields to include: statistics and econometrics, machine learning, and computer science in order to analyze large, complex data sets. Primary responsibilities include creating algorithms to evaluate market data using multiple regression, and time-series regression techniques, as well as implementing various machine learning algorithms (CART, SVM, Neural Networks) to extract patterns in stock data, and implementing traditional asset valuation methods like: CAPM, and discounted cash flow analysis for valuing US equities. Additional duties include championing evidence based decision making for investment decisions and portfolio construction. This means building and maintaining a portfolio simulation tool which allows STG to test theories on how to best construct financial portfolios, optimize them over different market cycles, and provide evidence-based rules for how and when to trade. This role requires a disciplined approach to creating, testing, and validating predictive models used to generate forecasts. It also requires being able to build analytics applications that integrate into a full technology stack (ie. SQL, Java, R) with a distributed computing platform (JPPF) for creating complex predictive models with speed and at scale. Show less

Manager

• Apr 2005 - Oct 2012

Spent the first two years as a system developer creating Command and Control software for DoD clients. This included not only development of the software, but also system support of production systems deployed by Marine units in Iraq Transitioned into the role of IT consultant helping clients define their business needs and then creating a roadmap for utilizing technology to meet them. This included executing process engineering techniques, implementing capability assessment and IT portfolio management, and developing system architectures The final year at Sapient was spent helping Non-profit organizations better utilize their digital assets from web, social media, and mobile platforms to achieve their business goals and support their mission Show less