Benjamin J. Miller

About Benjamin J. Miller

Applied AI SME - Scientist - Business Consultant - Mentor - LeaderApplied AI and Data Strategy expert with 20 years of experience as a scientist, engineer, andleader. Proven track record of developing innovative AI-driven solutions to solve complexbusiness challenges across multiple industries. Passionate about leveraging machine learning,generative AI, and data intelligence to enhance decision-making and deliver impactful results.Expert in building and deploying machine learning models directly linked to strategic businessoutcomes. Experienced leader in scaling data science teams and driving initiatives fromconcept to full-scale production.Tremendous breadth of experience across many industries, including healthcare, life and pharmaceutical sciences, banking, insurance, media, human resources, biotechnology and sports.As an Applied AI practitioner, I have developed and deployed the following models…- Business Persona Digital Fingerprint using a mutliclass classification framework- Seniority classifier with exemplar based velocity detection- Employee attrition classifier, which netted UTC over $5M in ROI in its first year- Business banking prospecting using company growth and risk regressors- Uncleared Margin Reconciliation and Portfolio Reconciliation using a set of DataRobot model factories, which was valued over $13M- Automated FX Conversion, Bank of America’s largest revenue generating data initiative to date, expected to generate $300M in ROI in 5 years- Cyber Security - eTask, Internal and External Threat Detectors- CVL, FM and HE Consumer Post Approval Review - Loan Prioritization classifiers- Cell Morphology Computer Vision Classifier using DataRobot Visual AI- Rx, Protocol and Trial Recruitment and Abandonment- Healthcare Rx and Mx Claims data anomaly detection- Healthcare product revenue forecastingOver the past 20 years, I have worked on some of the most challenging problems of our lifetime. From cancer assay development, liquid biopsies and nanoreactors as an R&D scientist to transforming businesses into AI driven enterprises as a data scientist. I enjoy working with the brightest minds across all industries and thrive when given the opportunity to learn and expand what is possible.

Experience

1. Director, Applied Ai & Analytics at Kyber Data Science

   Kyber Data Science, A Forian Company

   Oct 2022 — Present · US

   At Kyber Data Science, I lead strategic AI initiatives that transform healthcare claims data into actionable forecasts. • Spearheaded the launch of Kyber Focal Methods (KFM), a sophisticated suite of machine learning models that provide critical revenue forecasting for over 500 pharmaceutical products. • Developed anomaly detection models that proactively identify claims anomalies and the drivers of those trends across hundreds of products. The models were used to identify potential QC issues and real-time trend breaks. • Piloted automated market share forecasts at the facility level, potentially helping organizations target early-adopters and localized claim trends.

Education

• Johns Hopkins (through coursera.org)

  Data Science Specialization Certificate, Data Science

• Harvard Extension School

  Statistics and Visualization

  2009 — 2011

• University of Rhode Island

  Bachelor of Science (BS), Chemical Engineering

  1996 — 2001

• University of Rhode Island

  Bachelor’s Degree, German Language and Literature

  1995 — 2001

Skills

• Java
• Active Learning
• Machine Learning
• Microfluidics
• Commercialization
• Dimensionality Reduction
• Nanotechnology
• Lifesciences
• Python
• Cluster Analysis
• Statistics
• Genomics
• Data Visualization
• Technical Presentations
• Visualization
• Predictive Analytics
• Data Science
• Molecular Biology
• R&D
• Classification
• Apache Spark
• Research
• R
• Probability
• Linear Regression
• Life Sciences
• Pyspark
• Statistical Inference
• Statistical Modeling
• Biotechnology
• Medical Devices
• Research and Development (R&D)
• Predictive Modeling
• Logistic Regression
• Hplc
• Validation
• Data Analysis
• Experimental Design