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Robert Weyant is a Senior Data Scientist at Hatch Data at Hatch Data. He possess expertise in r, statistics, sas, biostatistics, data analysis and 45 more skills. He is proficient in German.
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Senior Data ScientistHatch Data Apr 2021 - PresentBoston, Massachusetts, Us -
Data ScientistPowerley Jan 2016 - Apr 2021• Designed backend system to deliver personalized coaching content on how to reduce energy consumption• Developed IoT data collection system for remote deployment in homes to gather additional training data for current and future projects• Deployed novel, scalable unsupervised machine learning algorithms to disaggregate appliance energy consumption from whole home energy in real time• Architected neural network to disaggregate appliance consumption from whole home energy • Developed method to estimate personalized energy savings utilizing thermostat setbacks given environmental data and IoT sensor data• Work closely with backend engineering team to design databases and cloud services in order to efficiently collect, store and utilize data for analytics• Manage data collection efforts to ensure relevant data are available for current and future analytics
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Data ScientistTrinity Health (Hq Michigan) Mar 2015 - Jan 2016Livonia, Mi, Us• Perform statistical analyses for clinical research projects• Provide statistical and data warehouse consultation to researchers in preliminary phases of projects• Source-to-target mapping from multiple Electronic Health Record systems to one unified data model• Profile current data warehouses to identify structural and utilization gaps in data for downstream analytics• Identified opportunities to improve and augment ETL process for downstream analytics -
Research AnalystArbor Research Collaborative For Health Oct 2012 - Mar 2015Ann Arbor, Michigan, Us● Analyst for the Renal and Lung Living Donor Evaluation Study (RELIVE), a collaboration to investigate long-term health outcomes for living kidney and lung donors● Analyst for Nephrotic Syndrome Study Network (NEPTUNE), part of NIH Rare Diseases Clinical Research Network● Developed and cross-validated statistical models to predict clinical trends in R● Created a complex pipeline in SAS and SQL to manage and clean analytic datasets for analysis● Automated data quality reports and visualizations for analysts and investigators using SAS, SQL and Excel● Used machine learning algorithms to develop sampling methods for data validation and quality control● Led professional development workshop on advanced data visualization for Arbor Research employees● Wrote, edited, and prepared manuscripts for publication -
Research AssistantDepartment Of Biostatistics, University Of Michigan Jun 2009 - Jun 2012● Worked with the Genetic Investigation of Anthropometric Traits (GIANT) consortium, a collaboration to identify genetic loci associated with body shape and size● Worked with Genetics of Type 2 Diabetes (GoT2D) consortium, identifying genetic factors of type 2 diabetes through multi-ethnic deep genome and exome sequencing● Used simulations and data mining techniques to explore gene-level test performance as a function of gene features ○ Simulated large genetic datasets representing genic regions based upon both 1000 Genomes and HapMap reference panel○ Developed a versatile and efficient pipeline using Linux shell scripts, Python, SQL to simulate, analyze and summarize large datasets● Performed meta-analysis of genetic data using Linux scripts, R and modern genetic analysis tools● Compared weighting schemes for meta-analysis ● Compared accuracy of several genotype calling algorithms ● Performed imputation of genetic markers for statistical analysis● Regularly presented work in lab meetings and interdepartmental genetics group
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Research AssistantUniversity Of Pittsburgh May 2006 - Aug 2006Pittsburgh, Pa, Us● Tested methods for detecting diseases and then replicating the result within the same sample● Simulated large genetic datasets under various assumptions● Tested effectiveness of genetic analysis programs● Wrote reports for publication of results -
Research AssistantUniversity Of Pittsburgh May 2005 - Aug 2005Pittsburgh, Pa, Us● Adapted and tested quantitative methods for detecting and replicating disease association● Simulated large genetic datasets under multiple disease models● Tested accuracy of genetic linkage analysis programs● Wrote reports for publication of results
Robert Weyant Skills
Robert Weyant Education Details
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University Of MichiganBiostatistics -
Penn State UniversityStatistics
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Penn State UniversityMathematics
Frequently Asked Questions about Robert Weyant
What company does Robert Weyant work for?
Robert Weyant works for Hatch Data
What is Robert Weyant's role at the current company?
Robert Weyant's current role is Senior Data Scientist at Hatch Data.
What is Robert Weyant's email address?
Robert Weyant's email address is rw****@****ley.com
What is Robert Weyant's direct phone number?
Robert Weyant's direct phone number is +124867*****
What schools did Robert Weyant attend?
Robert Weyant attended University Of Michigan, Penn State University, Penn State University.
What are some of Robert Weyant's interests?
Robert Weyant has interest in Science And Technology, Education, Arts And Culture, Environment.
What skills is Robert Weyant known for?
Robert Weyant has skills like R, Statistics, Sas, Biostatistics, Data Analysis, Statistical Modeling, Data Mining, Sas Programming, Python, Analysis, Research, Machine Learning.
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