Greg Mikels Email & Phone Number
@google.com
3 phones found area 217 and 312
LinkedIn matched
Who is Greg Mikels? Overview
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Greg Mikels is listed as Senior Data Scientist, Finance at Google, a with 315106 employees, based in Portland, Oregon, United States. AeroLeads shows a work email signal at google.com, phone signal with area code 217, 312, and a matched LinkedIn profile for Greg Mikels.
Greg Mikels previously worked as Senior Software Engineer, Cloud Serverless AI at Google and Senior Technical Solutions Consultant - Cloud AI Incubators at Google. Greg Mikels holds Master'S Degree, Applied Statistics from Loyola University Chicago.
Email format at Google
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AeroLeads found 2 current-domain work email signals for Greg Mikels. Compare company email patterns before reaching out.
About Greg Mikels
Data scientist skilled with cloud automation and machine learning deployments.
Listed skills include System Deployment, Microsoft Office, Windows 7, Mathematics, and 43 others.
Greg Mikels's current company
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Greg Mikels work experience
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Senior Software Engineer, Cloud Serverless Ai
CurrentBuild Gemini integrations with Google Cloud Run and other Serverless AI offerings in Google Cloud. Developed a Gemini AI intergration with Cloud Run called Application Canvas, which allows developers to design and deploy a full-stack Cloud Run application with a chat interface. Led prompt engineering efforts including prompt tuning and evaluation, as well as integration of the Gemini chat interface with the Cloud Run UI. Managed a tight deadline that resulted in a successful demo of our product by leadership at Google Cloud Next.
Senior Technical Solutions Consultant - Cloud Ai Incubators
Provided expert technical guidance to strategic stakeholders, ensuring the successful development and deployment of AI solutions. My role encompassed the entire product lifecycle, from initial concept to ongoing support. I was responsible for building scalable, repeatable AI solutions, automating processes, and identifying opportunities to enhance product performance.Developed data engineering automations to reduce engineering efforts for key enterprise Dialogflow customers. Introduced new features and partnered directly with engineering to build new product features, which eventually allowed me to transition to a new role as a Software Engineer in Google Cloud.
Senior Data Scientist, Finance (Promotion)
Developed forecasting pipeline (full-stack) to predict network traffic across product areas and improve cost allocations. Implemented a new method for backtesting and automating model selection that resulted in a 2x increase in accuracy. Automated & extended a quarterly allocations reporting process (over 20,000 lines of SQL!), improving accuracy and removing a cumbersome manual process.
Machine Learning Specialist, Google Cloud
Consulted with large enterprise customers on deploying machine learning solutions using GCP. Built tailored demos and proof-of-concepts for customers using GCP services such as Cloud ML Engine(now Vertex), Cloud TPU, BigQuery, App Engine, Cloud Run, Cloud Functions. Led a proof-of-concept with a large healthcare provider to train 3D medical segmentation models usingCloud TPU accelerators, earning a technical win and directly influencing a $50 million dollar commit. Co-delivered Data Science at Scale With R on GCP (381 attended) at Google NEXT’19.
Data Scientist, It Operations
Collaborate with IT management to deliver intelligent dashboard reporting solutions that integrate advanced analytics using R. Perform full stack development, from project management and historical data collection to statistical model building and machine learning: R, SQL Server, SQL Server Integration Services (SSIS), C#, SAP BusinessObjects, PowerBI, Tableau, and TFS for DevOps.Milestones• Leveraged SQL 2016 R Services (now Machine Learning Services) with PowerBI to deploy a solution for forecasting at scale. • Presented a 2-day data science training event to varying business groups at Guggenheim that covered an introduction to data science and SQL 2016 R Services.• Delivered dashboard reports to provide insights on trends in system performance and capacity and supplement system monitoring.• Developed numerous ETL applications for collecting daily and intraday data from IT systems. The applications pull data from system web services, scheduled file drops, and emailed reports.
Senior Engineer - Desktop Computer Systems
Administered numerous systems required to support over 3000 PC and Mac computers: image & software deployment; management of OS configurations, licensing, patching, and printing. Developed strategy for process improvement and system implementations. Oversaw workstations and supporting systems with reporting tools, scripting languages, and data mining techniques. Led a team to evaluate an upgrade for Loyola's PC configuration management and reporting system. Delivered a presentation to the CIO, which included an analysis of the system’s productivity. Began a subsequent migration from Novell ZENworks to Microsoft SCCM 2012 R2.
Engineer - Desktop Computer Systems
Automated image, software, and configuration deployment for 300 Mac computers using Deploy Studio and Apple Remote Desktop. Developed two Xcode applications: one for notifying users of inactive sessions and force log off and a second to record user contact information on Mac kiosk workstations.
Student Technology Support Analyst
Provided tier level 1 and tier level 2 technical support for university faculty and staff. Implemented data security and computer inventory procedures. Troubleshot computer hardware/software/connectivity problems. Optimized slow workstations. Performed data backups and computer restorations. Diagnosed and cleaned computers after virus attacks. Used a call tracking system to respond to support requests.
Intern - Editorial Assistant
Checked digital and printed texts for errors. Posted files and created folder structures on an FTP server. Produced and edited content to be included with McGraw-Hill digital products. Used spreadsheets to manage links to .pdf documents. Completed various other production and editorial tasks
Greg Mikels education
Master'S Degree, Applied Statistics
Bachelor'S Of Science, Mathematics
Bachelor'S Of Science, Secondary Education And Teaching
High School Diploma
Frequently asked questions about Greg Mikels
Quick answers generated from the profile data available on this page.
What company does Greg Mikels work for?
Greg Mikels works for Google.
What is Greg Mikels's role at Google?
Greg Mikels is listed as Senior Data Scientist, Finance at Google.
What is Greg Mikels's email address?
AeroLeads has found 2 work email signals at @google.com for Greg Mikels at Google.
What is Greg Mikels's phone number?
AeroLeads has found 3 phone signal(s) with area code 217, 312 for Greg Mikels at Google.
Where is Greg Mikels based?
Greg Mikels is based in Portland, Oregon, United States while working with Google.
What companies has Greg Mikels worked for?
Greg Mikels has worked for Google, Guggenheim Partners, Loyola University Chicago, and Mcgraw-Hill.
How can I contact Greg Mikels?
You can use AeroLeads to view verified contact signals for Greg Mikels at Google, including work email, phone, and LinkedIn data when available.
What schools did Greg Mikels attend?
Greg Mikels holds Master'S Degree, Applied Statistics from Loyola University Chicago.
What skills is Greg Mikels known for?
Greg Mikels is listed with skills including System Deployment, Microsoft Office, Windows 7, Mathematics, Os X, Active Directory, Technical Support, and Windows Server.
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