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I'm Christina O. Bernard, an AI / Analytics Consultant and founder focused on embedding AI into the operations, workflows, and decision-making of complex organizations. I translate business problems into production AI systems — from discovery and architecture through deployment and team enablement. I have a deep background in ML, NLP, RAG, causal modeling, and LLM integration across healthcare, aviation, media, and commercial sectors, and I’ve founded two live AI-powered products. I also lead governance and risk efforts, writing about data privacy and responsible AI adoption for enterprise contexts. I run a newsletter on AI risk and privacy (newsletter.geekyinsights.com) and advise on how organizations can win with AI while protecting users and data. I thrive at the intersection of technical fluency and business clarity: identifying real value, building it, and enabling teams to own it.…I'm Christina O. Bernard, an AI / Analytics Consultant and founder focused on embedding AI into the operations, workflows, and decision-making of complex organizations. I translate business problems into production AI systems — from discovery and architecture through deployment and team enablement. I have a deep background in ML, NLP, RAG, causal modeling, and LLM integration across healthcare, aviation, media, and commercial sectors, and I’ve founded two live AI-powered products. I also lead governance and risk efforts, writing about data privacy and responsible AI adoption for enterprise contexts. I run a newsletter on AI risk and privacy (newsletter.geekyinsights.com) and advise on how organizations can win with AI while protecting users and data. I thrive at the intersection of technical fluency and business clarity: identifying real value, building it, and enabling teams to own it.

Christina O. Bernard

AI Strategy Consultant, AI Ethics Consultant, Data Scientist, +1

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I'm Christina O. Bernard, an AI / Analytics Consultant and founder focused on embedding AI into the operations, workflows, and decision-making of complex organizations. I translate business problems into production AI systems — from discovery and architecture through deployment and team enablement. I have a deep background in ML, NLP, RAG, causal modeling, and LLM integration across healthcare, aviation, media, and commercial sectors, and I’ve founded two live AI-powered products. I also lead governance and risk efforts, writing about data privacy and responsible AI adoption for enterprise contexts. I run a newsletter on AI risk and privacy (newsletter.geekyinsights.com) and advise on how organizations can win with AI while protecting users and data. I thrive at the intersection of technical fluency and business clarity: identifying real value, building it, and enabling teams to own it.…I'm Christina O. Bernard, an AI / Analytics Consultant and founder focused on embedding AI into the operations, workflows, and decision-making of complex organizations. I translate business problems into production AI systems — from discovery and architecture through deployment and team enablement. I have a deep background in ML, NLP, RAG, causal modeling, and LLM integration across healthcare, aviation, media, and commercial sectors, and I’ve founded two live AI-powered products. I also lead governance and risk efforts, writing about data privacy and responsible AI adoption for enterprise contexts. I run a newsletter on AI risk and privacy (newsletter.geekyinsights.com) and advise on how organizations can win with AI while protecting users and data. I thrive at the intersection of technical fluency and business clarity: identifying real value, building it, and enabling teams to own it.

Available to hire

I’m Christina O. Bernard, an AI / Analytics Consultant and founder focused on embedding AI into the operations, workflows, and decision-making of complex organizations. I translate business problems into production AI systems — from discovery and architecture through deployment and team enablement. I have a deep background in ML, NLP, RAG, causal modeling, and LLM integration across healthcare, aviation, media, and commercial sectors, and I’ve founded two live AI-powered products.

I also lead governance and risk efforts, writing about data privacy and responsible AI adoption for enterprise contexts. I run a newsletter on AI risk and privacy (newsletter.geekyinsights.com) and advise on how organizations can win with AI while protecting users and data. I thrive at the intersection of technical fluency and business clarity: identifying real value, building it, and enabling teams to own it.

Skills

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Expert

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Intermediate

Work Experience

AI / Analytics Consultant at Geeky Insights

February 1, 2018 - Present

Embedded with business owners across industries to map workflows, identify bottlenecks, and build AI and analytics systems tuned to each company's actual operations — not off-the-shelf tools. Defined KPIs from business outcomes and shipped marketing dashboards to track them; conducted social listening, behavioral analysis, and internet trend research to inform strategy. Rebuilt a client's website and paid ad funnel with a more efficient targeting algorithm; reduced marketing spend by $8K while increasing customer engagement 32%. Built a production NLP model for healthcare use cases using NLTK and custom datasets. Delivered process improvements and team training that cut $70K in development costs and reduced ongoing labor costs by $5K/month (50% decrease) without degrading quality or timelines. Managed full SDLC for non-technical founders: requirement scoping, rapid feedback loops, solution customization. Led a team of 5–8 freelancers across software development, UI/UX, implementati

Senior Consultant at Deloitte

July 1, 2022 - March 31, 2024

Delta Airlines: Redesigned a production ML pipeline on AWS; reduced runtime by 50% and improved model performance 6× by rewriting Python implementation in SQL. Migrated team from Dataiku to AWS Serverless (SageMaker, Lambda, S3, RDS) — replaced a seat-based vendor tool with a purpose-built MLOps process. Measured marketing effectiveness on customer opt-in using causal marketing mix models; built customer segmentation based on behavioral effectiveness, LTV, and subscription cohort analysis. Introduced distributed computing (Ray, Git, Docker) to data pipeline; managed staged model deployments to protect client delivery schedule. Meta-diagnosed root cause of mobile data network issues; designed monitoring dashboards for systems and products. Created onboarding documentation that became the foundation for an internal data-quality product — reduced support tickets to the data science team, cut time to first contribution for new members, and decreased time spent on repetitive tasks by 6

Machine Learning Consultant at phData (acquired Tessellation Oct 2021)

April 1, 2021 - July 31, 2022

Led discovery calls to assess model modification needs; delivered weekly client demos and presentations. Architected and implemented model deployments to AWS (SageMaker, Docker, Lambda, S3, RDS). Experimented with NLP model improvements using distributional metrics; contributed to content marketing strategy and wrote technical blog posts and case studies.

Data Scientist at Hugo Health

January 1, 2019 - April 30, 2020

Built NLP models for healthcare use cases using NLTK and custom labeled datasets. Built and maintained data pipelines on AWS with ElasticSearch and Kibana; cleaned and prepared data for production ML.

Research Assistant at Jackson State University — Center for Bioinformatics

June 1, 2008 - June 30, 2012

Built an SQLite3 database of research articles for structured querying; used the NCBI API to download and search genomic data for protein motifs (Python). Presented at scientific conferences; developed and led workshops for high school, undergraduate, and graduate students.

Intern at Pittsburgh Supercomputing Center

June 1, 2011 - August 31, 2011

Summer internship at the National Resource for Biomedical Supercomputing; participated in HPC projects and research activities.