Joe Cleaves Email & Phone Number
@bediligent.io
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Who is Joe Cleaves? Overview
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Joe Cleaves is listed as Co-Founder, CTO at Diligent, a with 2 employees, based in Sydney, New South Wales, Australia. AeroLeads shows a work email signal at bediligent.io and a matched LinkedIn profile for Joe Cleaves.
Joe Cleaves previously worked as AI Engineer at Affinda and Senior Consultant - Data & AI at Deloitte. Joe Cleaves holds Bachelor Of Actuarial Studies, Actuarial Science, Statistics, Finance from Unsw Australia.
Email format at Diligent
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AeroLeads found 1 current-domain work email signal for Joe Cleaves. Compare company email patterns before reaching out.
About Joe Cleaves
Joe is a data scientist who focuses on developing and maintaining production AI. Key to his approach is a pragmatic, business-oriented, first-principles outlook. Currently he works at a startup where he is focused on deploying and improving image and language deep learning models. He has experience building a wide range of data and AI solutions for clients in financial services, telecommunications and public sector.Joe’s experience primarily is with Python, particularly with the core machine learning frameworks. He is also able to work with backend and data engineering frameworks, databases, cloud environments, data visualisation tools and js applications.
Joe Cleaves's current company
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Joe Cleaves work experience
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Ai Engineer
Current
Senior Consultant - Data & Ai
Worked as a senior developer on a variety of data science and AI engagements. Two core clients, the Australian Defence Force (ADF) and big four bank.Built programs leveraging data science, machine learning, data engineering, solution architecting and data engineering techniques. Most commonly used Python but also developed with SQL, SAS, PySpark and AWS suite. For my colleagues I co-led a course for the AWS Machine Learning Specialty certificate. Frequently my role involved… Show more Worked as a senior developer on a variety of data science and AI engagements. Two core clients, the Australian Defence Force (ADF) and big four bank.Built programs leveraging data science, machine learning, data engineering, solution architecting and data engineering techniques. Most commonly used Python but also developed with SQL, SAS, PySpark and AWS suite. For my colleagues I co-led a course for the AWS Machine Learning Specialty certificate. Frequently my role involved communication of technical concepts with non-technical stakeholders, capturing objectives, co-creating solutions and reporting on progress, outcomes and insights from data science applications.Project highlights include:- Established a novel AI capability for a department in the ADF and developed AI use cases- Built a credit risk evaluation system for a big four bank using data science and data engineering- Built an automated ETL and data migration platform with Snowflake, AWS Glue, S3, Step Functions, DynamoDB and Cloudwatch. Show less
Analyst - Data Science
Worked in a variety of data science roles for clients in financial services, telecommunications and public service.Built programs leveraging data science, machine learning, deep learning, natural language processing, transfer learning and data engineering techniques. Most commonly used Python, but also developed with SQL and R. Often represented the development team to present results and outputs to client business representatives.Project highlights include:- Data science… Show more Worked in a variety of data science roles for clients in financial services, telecommunications and public service.Built programs leveraging data science, machine learning, deep learning, natural language processing, transfer learning and data engineering techniques. Most commonly used Python, but also developed with SQL and R. Often represented the development team to present results and outputs to client business representatives.Project highlights include:- Data science, machine learning and data engineering for predictive analytics and anomaly detection at a top Australian telecommunications company- NLP, machine learning and deep learning to classify and escalate complaints at a Big Four bank- Built data science tools to execute remediation at scale for Big Four banks Show less
Data Scientist
Responsibilities:- Implemented supervised and unsupervised machine learning models to solve forecasting, retention and marketing problems.- Performed data analytics on broad range of data, from government economic data to our client's member and interaction data.- Conducted interviews and focus groups to gain emotional, experiential and other qualitative information to form insight about consumers, businesses and the market.- Presented insights of our research directly to… Show more Responsibilities:- Implemented supervised and unsupervised machine learning models to solve forecasting, retention and marketing problems.- Performed data analytics on broad range of data, from government economic data to our client's member and interaction data.- Conducted interviews and focus groups to gain emotional, experiential and other qualitative information to form insight about consumers, businesses and the market.- Presented insights of our research directly to clients.- Managed an overseas team to meet client demands and deadlines. Show less
Joe Cleaves education
Frequently asked questions about Joe Cleaves
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What company does Joe Cleaves work for?
Joe Cleaves works for Diligent.
What is Joe Cleaves's role at Diligent?
Joe Cleaves is listed as Co-Founder, CTO at Diligent.
What is Joe Cleaves's email address?
AeroLeads has found 1 work email signal at @bediligent.io for Joe Cleaves at Diligent.
Where is Joe Cleaves based?
Joe Cleaves is based in Sydney, New South Wales, Australia while working with Diligent.
What companies has Joe Cleaves worked for?
Joe Cleaves has worked for Diligent, Affinda, Deloitte, Accenture, and Coredata Group.
How can I contact Joe Cleaves?
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What schools did Joe Cleaves attend?
Joe Cleaves holds Bachelor Of Actuarial Studies, Actuarial Science, Statistics, Finance from Unsw Australia.
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