US Navy veteran turned Engineering and ML / AI leader15 years as a technical leader in AI Innovations, Analytics, and Product Strategy. Charlie has led many scaled automation and production ML/AI deployments in the cloud with a track record of innovations resulting in budget efficiencies of over 40% and creating new products resulting in over $30MM in new revenue.Charlie's unique blend of technical acumen, business acuity, and leadership skills effectively align data-driven initiatives with organizational goals. Specifically, Charlie is a skilled technical translator, making highly technical projects and applications accessible to broad audiences, including consumers and executives. This ability to partner with senior executives and influence strategic decisions, exemplifies his expertise in the field.Excellent team builder with a track-record in recruiting top-talent to form high performing cross-functional teams across data, UI/UX, product, and engineering skillsets. Charlie expands the influence of data science within organizations by establishing new relationships, discovering high-value applications of data science, and delivering high-quality solutions. Education: - MBA from Cornell University Johnson School of Business - MS in Data Science from Northwestern University - BS in Mathematics from University of California - San DiegoConference talks include:Northwestern University Symposium - Business Impact and IP related to Generative AI & ChatGPTAnacondaCon - Implementing AI at Scale in the EnterpriseIBM/Watson Data & AI “Emerging Smarter” - Challenges with Machine Learning ImplementationGartner CDO Series - Privacy & security Concerns with AI
-
Director Of AiPress GaneyOceanside, Ca, Us
-
Consultant - Ai & Engineering R&DBain & Company Apr 2023 - PresentBoston, Ma, Us- Lead AI & engineering teams in backend/frontend development and rapid prototyping- Developed 4 data products resulting in 20% decreased time to insights for analyst team- Created omni-channel Same Store Sales Growth Algorithm using clustering, similarity matching & forecasting algorithms -
Head Of Ai & EngineeringFc3Ai Consulting Oct 2021 - Present- Accountability for all technical and engineering aspects of the product, including design, security, API development, back-end, and front-end- Decreased client customer churn by 15% using Keras and unsupervised learning for customer segmentation- Added innovative time series and anomaly detection platform to detect changes in real-time data- Built cross-functional team to 12 people to handle design, development, CI/CD, and project management- Delivered back-end platform using Python, TensorFlow, MongoDB, SQL, Flask, PyTorch, Hugging Face, and Langchain - Created software architecture for Vue.js front-end using javascript, Vuetify, D3.js, Highcharts, and Ag-Grid- Incorporated LLM/Generative AI into product for analyzing client reports deployments and fine-tuning using NLP - Utilized docker containers and Microservices to create scalable multi-tenant SaaS application on Azure Cloud
-
Director - Global Ai TransformationNielseniq Jun 2017 - Oct 2021Chicago, Illinois, Us- Grew scope and influence of the Data Science Organization by establishing digital transformation team within Operations implementing AI best practices for enterprise data- Saved over $5mm/year, reducing OPEX 40%, through AI automation and deep learning NLP implementation- Delivered value through new contract pricing with large vendors to realize OPEX savings and meet budget goals- Created groundbreaking Omni-Channel market measurement product delivering value with over $10MM sales in the first year - Rapidly built ROI-positive 28 person tech team with experts in ML, Automation, Database Design, UI/UX, and product management - Cut time to market for new products 85% by transitioning tech platform to Azure Cloud Computing and using MLFLow and CI/CD for software engineering pipelines- Responsible for ideation and creation of ML pipeline delivering over 20, 000 models in production with weekly automation - Trained over 1000 business analysts to understand and ML output data and train algorithms using Deep Learning- Led platform development for innovative deep learning models using TensorFlow, PyTorch, Scikit-learn, and Jenkins -
Principal Data ScientistAnthem Jun 2014 - Jun 2017Indianapolis, Indiana, Us- Lead data scientist for team building machine learning and ML Ops models for segmentation and fraud identification - Recovered $12MM in fraudulent transactions with innovative detection algorithm using Keras- Saved $9MM/year though big data ETL pipeline handling 1 billion data points/month - Spearheaded design and development commercial AI healthcare platform with $21MM sales in first year - Collaborated for development of scalable ML Ops Cloud Computing based platform built on AWS Cloud, Python, PyTorch, H20.ai, Hive, and Postgres SQL - Improved model performance for detecting unnecessary surgeries by 30%, saving over $16MM/year - Created over 3000 models to detect rare conditions with NLP searching patient EHR and health data records - Improved cost outlier detection utilizing TensorFlow Autoencoders to increase member procedure approvals -
Sr. Manager - Data ScienceSterkly Nov 2011 - Mar 2014San Diego, Ca, Us- Medium sized Ad-Tech Supply side Platform (SSP) with 1 Billion views/month Achievements/Tasks - Lead 6 person ML/Data Science & Business Intelligence team responsible for executive KPI's - Reduced customer acquisition costs by 50K (5% of top-line revenue) using customer segmentation methods- Optimized ad-spend using python ML xg-boost to identify high probability click-through- Increased customer lifetime value (CLV) by 10% using A/B testing and identifying key drivers of churn - Reduced bot network traffic 30% using real-time Tensorflow python and deep learning algorithms - Utilized NLP and customer segmentation to identify customer paths and optimize ad targeting - Engineered automated data pipeline architecture to handle 4B impressions/day on AWS cloud - Reduced daily KPI delivery time 90% from 23 to 2hrs and transitioned to reporting to Tableau -
Sr Data AnalystAt&T Aug 2008 - Oct 2011Dallas, Tx, UsLead the data science team focused on executive strategy, marketing, sales, and operations- Used survival analysis to improve customer churn 7% and product forecasting error by ~30%- Reduced $10MM in top line sales forecasting error by implementing time-series forecasting- Improved cross-sell opportunities through customer segmentation and targeting with sentiment analysis -
Nuclear EngineerUs Navy Sep 1998 - Aug 2006Washington, Dc, Us- Analyzed nuclear power plant data for anomaly detection using time-series statistical methods - Led team of 10 engineering operators - Metrology Laboratory Lead, ensure all measurement tools and machinery were properly calibrated - Scheduled $200M annual planned maintenance and verified compliance with QA standards - Manage operations to ensure power plant is in optimal condition and in operational state
Charlie Arthur Skills
Charlie Arthur Education Details
-
Cornell Johnson Graduate School Of ManagementGeneral -
Northwestern UniversityData Science
-
Uc San DiegoMathematics
Frequently Asked Questions about Charlie Arthur
What company does Charlie Arthur work for?
Charlie Arthur works for Press Ganey
What is Charlie Arthur's role at the current company?
Charlie Arthur's current role is Director of AI.
What schools did Charlie Arthur attend?
Charlie Arthur attended Cornell Johnson Graduate School Of Management, Northwestern University, Uc San Diego.
What skills is Charlie Arthur known for?
Charlie Arthur has skills like Mathematics, Six Sigma, Leadership, R, Stakeholder Management, Data Science, Survival Analysis, Predictive Modeling, Navy, Logistics, Software As A Service, Microsoft Azure.
Who are Charlie Arthur's colleagues?
Charlie Arthur's colleagues are Akhil Raj Bk, Emma Flesh, Paul Ice, Ashley Gallegos, Linda Williams, Jeremy Fox, Audi Rish.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial