Bio | TheAIDataExec

I'm a passionate advocate for using data and AI to solve challenging business problems, having spent my career launching initiatives like Daugherty's Innovation Hub and developing solutions including forecasting systems, pricing algorithms, and scalable cloud platforms. In my current role as Head of Data Science and AI Innovation at Answer Rocket, my work focuses on generative AI, MLOps, and managing data science products, while also teaching at Washington University in St. Louis. My academic background in psychology, computer science, marketing, and data science enables me to approach technology solutions with a human-centric perspective.

Areas of Expertise

Artificial Intelligence, Data Science, ML
Data Strategy and Governance
Data Architecture
Data Engineering
AI Governance and Data Ethics
Mentoring and Training
Evidence-Based Decision Making
Problem Solving

Solution Architecture
Product and Data Lifecycle
Data Literacy
Data Storytelling
Cloud Architecture and Engineering
Stakeholder Management
Presentation and Communication
Recruiting and Talent Assessment

Technical Skills

Generative AI

Finetuning (LORA, PEFT), Prompt Tuning (p-tuning, prefix tuning), Agents, Evaluation (RAGAS, model-as-a-judge), RAG, KBLaM, LLMOps

Data Science, ML, and Analytics

Supervised learning (classification, regression), Unsupervised learning (clustering, PCA), Neural networks, NLP, Computer vision, Forecasting, Multivariate statistics, Generative AI (LLMs, Diffusion Models, VAEs), Evaluation frameworks, Model Explainability, MLOps

RDBMS

MySQL, Postgres, Oracle, MS SQL Server, Vertica, Aurora, Supabase

NOSQL Databases

Neo4J, MongoDB, HBase, Cassandra, Cosmos, Big Query, Firebase

General Programming

Python, SQL, PHP, BASH

BI Platforms

Tableau, Pentaho, Jaspersoft, Talend, PowerBI

Distributed Computing and Streaming

Hadoop (HDFS), Kudu, Spark, Elastic Search, Impala, Kafka, Databricks, Snowflake

Cloud and DevOps

Azure, AWS, IBM Cloud, Docker, Ansible, Jenkins, GCP, Digital Ocean, RunPod

Education

University of California Berkeley

Masters in Information and Data Science (2016)

Capstone: Using Natural Language Processing to Unbias Yelp Ratings

University of Connecticut

ABD (PhD Candidate) in Marketing (2004 - 2007)

Focus: Consumer Brand Relationships

University of Hartford

BA in Psychology, Minor in Mathematics (1999)

Summa Cum Laude

Case Western Reserve University

BS in Computer Science, Minor in Artificial Intelligence (1998)

President's Scholarship

Shanti Greene