Daniel Masters Email & Phone Number
@att.net
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Who is Daniel Masters? Overview
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Daniel Masters is listed as Data and Analytics Leader | AI, Machine Learning, Data Analysis, Data Mining at SFL Scientific, a Deloitte Business, based in Birmingham, Alabama, United States. AeroLeads shows a work email signal at att.net and a matched LinkedIn profile for Daniel Masters.
Daniel Masters previously worked as Senior Data Scientist at Sfl Scientific, A Deloitte Business and Product Analytics Director at Producepay. Daniel Masters holds Master Of Science - Ms, Biomedical/Medical Engineering from Vanderbilt University.
Email format at SFL Scientific, a Deloitte Business
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AeroLeads found 1 current-domain work email signal for Daniel Masters. Compare company email patterns before reaching out.
About Daniel Masters
Daniel Masters is a Data and Analytics Leader | AI, Machine Learning, Data Analysis, Data Mining at SFL Scientific, a Deloitte Business. He possess expertise in data analysis, analysis, statistics, sas, statistical modeling and 22 more skills. Colleagues describe him as "Bart is extremely smart and able to assimilate information rapidly. He’s also able to excel with a large variety of projects on his plate. He’s a solid leader, one of the best managers I’ve seen."
Listed skills include Data Analysis, Analysis, Statistics, Sas, and 23 others.
Daniel Masters's current company
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Daniel Masters work experience
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Product Analytics Director
- Built and led a team of analysts and data scientists within the Product organization.- Developed essential analytics pipelines for all of Producepay’s products, both existing and new. - Production-grade process from data creation in Postgres to Tableau, utilizing Python, Snowflake, and DBT- Built out system of standardized code and QA processes to ensure.
Director Of Data Science
- Led a team of 3 ML data scientists and built the model ecosystem with ML engineers.- Managed portfolio of existing ML models across all stakeholders at Greenlight.- Launched 4 ML models into production across risk, marketing, acquisition, and growth.- Collaborated with Product, Eng., and leadership stakeholders to drive and own roadmaps.- Acted as an.
Director Of Data Science
Senior Data Science Manager
I initially led Machine Learning and Automation team within Data Science at Shipt, then transitioned to leading the Shopper Experience Data Science team.
Data Science Manager
Senior Principal Data Scientist
- Lead data science efforts for service business (OneSource)- Created maintenance optimization machine learning model -G.B.M. regression model built in H2O.ai -Combined with XgBoost classification model -Predicts repair occurrence with 62% less error than legacy methods -Potential reduction of 36k hours of downtime and $3.6M of customer costs- Managed.
Manager, Statistical Analysis
Statistical Data Specialist
I design and employ advanced healthcare analytics to solve problems and create value for customers. I am primarily dedicated to designing analytics that identify healthcare fraud, waste, and abuse.
Data Science Consultant
○ Advise start-up company on data science solutions○ Assess efficiency of A.W.S. machine learning solutions○ Evaluate performance of 3rd party data science firm○ Build models (GLM and neural networks) in R using h2o
Statistical Consultant
Data Analyst
I worked on the Medi-Medi program for a Medicare payment integrity contractor (ZPIC zone 5).I used data probe and SAS to match Medicaid and Medicare data to support investigations and program implementations.
Graduate Research Assistant
My work here involved the use of optical spectroscopy to guide therapy and surgery.Other projects include investigating the effects of thermal fluctuation and coagulation on fluorescence in biological tissues.
Graduate Teaching Assistant
Teaching Assistant:Biostatistics: Spring 2009, Received Biomedical Engineering Department's Teaching Asst. Award for performance in this assignment.Signal Measurement and Analysis: Fall 2008, Fall 2009
Undergraduate Researcher
At Triangle Universities Nuclear Laboratories (TUNL), I worked as an R.E.U. student (research experience for undergraduates) on Duke's campus at the tandem nuclear reactor facility. My work consisted of measuring a destruction cross-section of an isomeric state of Rhenium in order to increase the accuracy of a cosmochronometer.
Undergraduate Research Assistant
Performed optical emission spectroscopy on a microwave plasma for chemical vapor deposition of diamond films. Assisted with daily activities for clients of engineering and legal services of Vista Engineering, LLC.
Daniel Masters education
Master Of Science - Ms, Biomedical/Medical Engineering
Bachelor Of Science - Bs, Physics
Frequently asked questions about Daniel Masters
Quick answers generated from the profile data available on this page.
What company does Daniel Masters work for?
Daniel Masters works for SFL Scientific, a Deloitte Business.
What is Daniel Masters's role at SFL Scientific, a Deloitte Business?
Daniel Masters is listed as Data and Analytics Leader | AI, Machine Learning, Data Analysis, Data Mining at SFL Scientific, a Deloitte Business.
What is Daniel Masters's email address?
AeroLeads has found 1 work email signal at @att.net for Daniel Masters at SFL Scientific, a Deloitte Business.
Where is Daniel Masters based?
Daniel Masters is based in Birmingham, Alabama, United States while working with SFL Scientific, a Deloitte Business.
What companies has Daniel Masters worked for?
Daniel Masters has worked for Sfl Scientific, A Deloitte Business, Producepay, Greenlight, Shipt, and Perkinelmer, Inc..
How can I contact Daniel Masters?
You can use AeroLeads to view verified contact signals for Daniel Masters at SFL Scientific, a Deloitte Business, including work email, phone, and LinkedIn data when available.
What schools did Daniel Masters attend?
Daniel Masters holds Master Of Science - Ms, Biomedical/Medical Engineering from Vanderbilt University.
What skills is Daniel Masters known for?
Daniel Masters is listed with skills including Data Analysis, Analysis, Statistics, Sas, Statistical Modeling, Data Mining, Analytics, and Sql.
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