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I'm an experienced data scientist in the energy and healthcare space. I spent the first six years of my career pushing the envelope of advanced analytics for energy efficiency and demand response applications. After successful delivery of several machine learning projects for utility clients across the country, I switched my focus to another exciting industry: healthcare. Now I get to design novel methods to detect signs of waste and error in healthcare claims. Finding new ways to deliver efficiency and drive savings through novel feature engineering and modeling is my passion. When I'm not slicing data and analyzing model results, I enjoy camping, hiking, and exploring the rich historical sites Minnesota has to offer.Current Interests: GNNs, EmbeddingsLanguages: R, Python, SQLTechnologies: RStudio, RShiny, Tableau, Anaconda, Spark, RDBMS, Excel, Access, Hive, S3, H2O, Databricks, Snowflake, PyCharm, JupyterLab, Techniques: Regression (including GLMs, GAMs, and regularization), Tree-Based Methods (including GBMs), K-Nearest Neighbors, Time-Series, Neural Networks, Clustering, Dimensionality Reduction, Subset Selection, Cross-Validation, Support Vector Machines, Statistical Sampling, Anomaly Detection
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Data Science ManagerOptumSaint Paul, Mn, Us -
Senior Data Science ManagerOptum Mar 2024 - PresentEden Prairie , Mn, Us
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Data Science ManagerOptum Mar 2022 - Feb 2024Eden Prairie , Mn, UsI lead a small team of talented data scientists in developing machine learning approaches to non-clinical payment integrity opportunities.
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Senior Data ScientistOptum Oct 2020 - Mar 2022Eden Prairie , Mn, UsAs a data scientist on the Data Science Solutions team, I build unsupervised models to detect potential signs of waste and error in pre-pay healthcare claims.
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Data Science AdvisorNexant Oct 2020 - Mar 2021Half Moon Bay, California, UsI provided on-going project support for the Advanced Analytics Team to ensure a smooth transition of responsibility to their new data scientist. -
Data Scientist IiNexant Jan 2019 - Sep 2020Half Moon Bay, California, UsAs the inaugural Data Scientist for Nexant's Advanced Analytics group, I worked as a consultant and project lead on a wide variety of machine learning and advanced analytics applications for electric and natural gas utility clients across the United States. • Secured $100,000 in client funding by developing and pitching industry leading building load prediction models combined with novel outlier detection capabilities. • Secured $600,000+ in client funding by developing several Tableau dashboards displaying the results of several machine learning prototypes (including electric load segmentation and propensity modeling) and writing a proposal on how to scale prototypes using AWS.• Reduce manual reporting (by several hours per month) by writing Python scripts to streamline data processing and displaying the results with Tableau. • Demonstrate to clients how survival analysis can improve budget forecasting (Model concordance of 0.78.)
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Senior Business Intelligence AnalystXcel Energy Jun 2018 - Dec 2018Minneapolis, Minnesota, UsDuring my brief time at Xcel Energy, I had the opportunity to get involved in a number of different initiatives.• Developed targeted marketing list with 2x lift using machine learning in PySpark.• Applied apriori algorithm on Salesforce data to quantify associations among customer offerings.• Created project intake form to rank use-cases based on value and strategic alignment.• Provided data quality recommendations for business processes to improve modeling. • Recommended outlier detection methods to flag observations for further review. -
Lead Energy Research AnalystColorado Springs Utilities Jul 2014 - May 2018Colorado Springs, Co, UsAs the lead analyst in the Acquisition, Engineering, and Planning department, I led many aspects of advanced analytics for our smart grid, electric planning, demand response, and energy efficiency programs.• Implemented an R, Access, & SQL Server-based analytics foundation for all energy projects.• Designed customer regression model to measure summer load sensitivity. • Applied k-means clustering on hourly load profile data to classify consumption patterns.• Built R Shiny dashboard to explore voltage data and alerts for the CVR program.• Built PowerPivot dashboard to analyze new data streams to ensure quality readings.• Implemented apriori algorithm to quantify associations among customer rebate incentives.• Developed multivariate regression model to predict hourly electric consumption. -
Research AssistantUniversity Of Minnesota-Morris Jul 2012 - May 2013Morris, Mn, Us• Computational modeling of RDX through the Minnesota Supercomputing Institute. -
Chair, Activity Fee Review CommitteeUniversity Of Minnesota-Morris May 2011 - May 2013Morris, Mn, Us• Led committee members in managing student funds in excess of $650,000.
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Research AssistantUniversity Of Minnesota-Morris Aug 2011 - Jun 2012Morris, Mn, Us• Investigation of weather balloon ascent dynamics.• Received "Best Student Poster" Award at the 2012 Minnesota Area Association of Physics Teachers Spring Conference.
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Biological Science AidUs Department Of Agriculture (Usda) Agricultural Research Service (Ars) May 2010 - Aug 2012Washington, Dc, Us• Conducted experiments to improve food, energy, and environmental sustainability. -
Teaching AssistantUniversity Of Minnesota-Morris Aug 2009 - Dec 2010Morris, Mn, Us
Robert Smith Skills
Robert Smith Education Details
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Lehigh UniversityEnergy Systems Engineering -
University Of Minnesota MorrisPhysics & Mathematics
Frequently Asked Questions about Robert Smith
What company does Robert Smith work for?
Robert Smith works for Optum
What is Robert Smith's role at the current company?
Robert Smith's current role is Data Science Manager.
What is Robert Smith's email address?
Robert Smith's email address is rs****@****csu.org
What is Robert Smith's direct phone number?
Robert Smith's direct phone number is +191575*****
What schools did Robert Smith attend?
Robert Smith attended Lehigh University, University Of Minnesota Morris.
What are some of Robert Smith's interests?
Robert Smith has interest in Education, Health.
What skills is Robert Smith known for?
Robert Smith has skills like Research, Data Analysis, Statistics, Python, Smart Grid, Renewable Energy, Microsoft Excel, Physics, Powerpoint, Microsoft Office, Matlab, Feedback Control Systems.
Who are Robert Smith's colleagues?
Robert Smith's colleagues are Niko Montalbo, Venkatesh Kalakkad, Melani Galleberg, Jaspreet Singh, Tyeisha Williams, Kayla Pendrak, Marie Marlot Panga.
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