Johnny B.

I was building predictive systems long before GenAI became a job category. Today, I combine 15+ years of data science and analytics leadership with Machine Learning, Generative AI, LLMs, AI Agents, and modern data platforms to turn complex data into forecasts, insights, automation, and production-ready AI solutions. My experience spans legal, healthcare, marketing, technology, media, e-commerce, and entertainment. I have built forecasting models, customer intelligence systems, experimentation frameworks, data pipelines, data warehouses, and executive analytics used to support growth, revenue planning, retention, and strategic decision-making. More recently, I have focused on LLMs, RAG, Agentic AI, and private AI systems, including local LLM deployments and document intelligence for sensitive legal and healthcare workflows. SELECTED EXPERIENCE • Built statistical forecasting models for revenue planning, business growth, and executive decision-making • Built data warehouses and managed end-to-end ETL processes across multiple data pipelines • Served as Director of Analytics for 7+ years, applying Machine Learning, customer modeling, CRM analytics, experimentation, and statistical methods to business growth • Built predictive churn and customer behavior models to improve retention and membership strategy • Developed forecasting models for international web traffic, search trends, advertising inventory, and product planning • Applied regression, Random Forest, K-means clustering, segmentation, fuzzy matching, and A/B testing to real business problems • Led analytics supporting nearly 60 media properties and trained more than 1,000 users on analytics systems • Built private LLM solutions using Llama and Gemma with RAG-based document indexing and GPU-tuned inference • Developed AI use cases for legal and healthcare workflows, including deposition analysis, contract risk review, SOAP-note generation, and prior-authorization drafting WHAT I CAN HELP YOU BUILD • Predictive models for revenue, demand, churn, customer behavior, and growth • Machine Learning solutions for classification, regression, clustering, segmentation, and forecasting • GenAI and LLM applications connected to business data, APIs, databases, and workflows • RAG systems for enterprise search, document intelligence, and internal knowledge assistants • AI Agents and multi-agent workflows using LangChain and LangGraph • Private and local AI solutions using open-source LLMs • AI-powered analytics and executive decision-support systems • ETL and ELT pipelines, data integration, and analytics automation • Modern data platforms using Databricks, Snowflake, Spark, and PySpark • Customer segmentation, LTV, CRM, funnel, and marketing analytics • A/B testing, experimentation, statistical analysis, and predictive modeling AI, ML & DATA STACK Generative AI & LLMs: LLMs, RAG, LangChain, LangGraph, AI Agents, Multi-Agent Systems, Hugging Face, Llama, Gemma, embeddings, vector search, prompt engineering, document intelligence, local and private LLM deployment Machine Learning & Model Development: Python, PyTorch, TensorFlow, scikit-learn, XGBoost, LightGBM, supervised and unsupervised learning, regression, classification, Random Forest, K-means clustering, feature engineering, model evaluation, hyperparameter tuning, predictive modeling, forecasting Data Engineering & Platforms: SQL, Databricks, Snowflake, Spark, PySpark, ETL/ELT, data pipelines, data warehousing, data integration, dbt, Airflow, MLflow Analytics & Statistics: Predictive Analytics, Statistical Modeling, A/B Testing, experimentation, customer segmentation, churn modeling, LTV, CRM analytics, marketing analytics, behavioral analytics, revenue forecasting, R WHY WORK WITH ME I understand how to connect data, models, AI, infrastructure, and business objectives into practical systems that support real decisions. My background combines 15+ years of commercial data science and analytics experience, Director-level leadership, Machine Learning and predictive modeling, GenAI and LLM development, modern data platforms, and scientific research. I also have postgraduate training in Artificial Intelligence and Machine Learning, an MS in Mechanical Engineering, an MA in Psychology, and a BS in Mechanical Engineering with Honors. My scientific research includes published work in measurement, modeling, fluid mechanics, and engineering systems. I am particularly effective when the problem is complex or not fully defined. If you have business data, documents, analytical workflows, models, or an AI initiative, I can help structure the problem, identify the right technical approach, and turn it into a working solution. Send me a short description of what you are trying to solve, the data or systems you currently have, and what a successful outcome looks like.