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Ed Medina

MoreYummy Founder & CEO

Lead AI Consultant

Ed Medina, Founder, CEO & Lead AI Consultant, MoreYummy
Ed Medina

Professional Profile

Joel “Ed” Medina is the Founder and CEO of MoreYummy LLC, an AI consultant, and a tech leader specializing in AI-driven solutions that transform business operations. With expertise in AI strategy, machine learning, and automation, he helps organizations unlock potential through data-driven insights and strategic implementation. His focus is on delivering impactful AI solutions for businesses, financial institutions, and nonprofits.

 

A Pulitzer Prize-winning journalist and AI consultant, Ed has a unique background that combines communications, technology, and problem-solving. His career spans leadership roles in media, fintech, and AI development. He has successfully built predictive models, automated workflows, and developed AI-driven business strategies.

 

At MoreYummy, Ed is dedicated to helping clients navigate the complexities of AI adoption. Whether through custom AI solutions, strategic consulting, or automation projects, he ensures that technology aligns with business goals to drive real impact. Connect with him on LinkedIn.

Ed Medina

Technical Skills & Tools

Data Science: Exploratory Data Analysis, Data Visualization, Machine Learning, CNN, ANN, Decision Trees, Ensemble Techniques, K-Means Clustering, Vectorization, Model Training and Testing, GenAI, Prompt Engineering. Programming: Python, Pandas, NumPy, Scipy, Sklearn, PyTorch, Matplotlib, JSON. AI & Modeling Tools: Langchain, Microsoft Azure, Google Colab, HuggingFace, RAG AI, Machine Vision, OpenAI. Databases & Development Tools: MySQL, Chroma vector DB, VS Code, GitHub. Platforms: Dataiku, Rapid Miner. Misc: Content Management Systems, Agile PM.

Ed Medina

Professional Experience

MoreYummy LLC

Founder, CEO & Lead AI Consultant

JAN. 2016-PRESENT
  • AI consulting providing strategic consulting to financial organizations, academic institutions, and nonprofits, delivering AI-driven solutions, impactful content, strategic communications, and digital strategies.
  • Leading the automation of commercial loan documentation for a community bank, utilizing Azure and a RAG AI-based OpenAI chat workflow to improve operational efficiency.
  • Applied Machine Learning algorithms to financial data, including Hidden Markov Models, K-Means Clustering, PCA, XGBoost, and LSTM neural networks for market predictions, pairs trading, and designing Reinforcement Learning Agents to autonomously trade stocks using techniques like Proximal Policy Optimization (PPO), and creating live visualizations to improve market insight.
  • Delivered data analysis for a national nonprofit and used rapid ML prototyping to reveal predictive insights into future fundraising, recruitment, and demographic trends.
  • Developed a Random Forest Decision Tree model to predict illness from Whoop biometric data, achieving 90% accuracy and 70% recall.
  • Utilized MSFT Azure’s OpenAI ChatGPT 3.5 for sentiment analysis on customer reviews, corporate filings, and other unstructured data, achieving accuracy above 80%.
  • As lead project manager, oversaw development of VR tour applications for multiple university campuses to support global recruitment efforts.

Ares Communications Group

Executive Editor & Platform Director

APRIL 2023 - FEB. 2024
  • Led content strategy and successfully launched FintechWire.com and the Ares Communications marketing website, aligning with organizational goals.
  • Developed and implemented a custom project management workflow using Asana and Agile principles to streamline publishing operations.
  • Oversaw all editorial content for FintechWire.com, serving as lead banking editor and driving thought leadership in the fintech space.

Boston Globe

Director of Multimedia / Video Product Manager

JAN. 2011-JAN. 2016
  • Managed the video product, owned the product roadmap, directed multimedia strategy, and oversaw video operations, achieving 30 million annual video plays and significantly enhancing audience engagement.
  • As a member of the leadership team, collaborated with the C-Suite team to develop and execute a digital video strategy, aligning with organizational goals and audience needs.
  • Key contributor to the Pulitzer Prize-winning team in 2014, demonstrating excellence in both storytelling and innovation.

Newsroom Editor / Video Department Manager

JAN. 2007-DEC. 2010
  • Cofounded and led The Globe’s video unit, earning the team’s first Emmy Awards for excellence in multimedia storytelling.
  • Managed projects to implement front-end media tools and collaborated with Adobe to modernize video advertising technology, enabling new revenue sources.
  • Oversaw the design and deployment of media asset management systems, streamlining production workflows and increasing efficiency.

Emerson College

Adjunct Professor

JAN. 2010-MAY 2011
  • Designed and taught an online publishing course, equipping graduate journalism students with digital storytelling skills.
  • Mentored students on capstone projects, providing guidance on research, strategy, and execution.
  • Edited and refined written content for publication, ensuring professional quality and impact.

Associated Press

Director of Multimedia

OCT. 2005-Jan. 2007
  • Directed an international team of videographers and interactive designers at AP’s world headquarters in New York, delivering high-impact multimedia coverage.
  • Modernized interactive graphics and data visualizations for national elections by implementing live, API-driven technologies.
  • Led interactive media coverage of the Pat Tillman investigation, showcasing innovation in storytelling and data presentation.

Boston.com

Senior News & Multimedia Producer

JULY 1997-OCT. 2005
  • As Boston.com’s first full-time online news and homepage editor, pioneered digital news strategies and breaking news coverage.
  • Played a pivotal role in transforming Boston.com into the largest regional news website in the U.S., leveraging innovative breaking news coverage and strategic digital content to drive growth and engagement.
  • Partnered with The Boston Globe’s Pulitzer-winning Spotlight team to produce a documentary on the Catholic Church investigation, with interviews later featured in the Academy Award-winning film “Spotlight.”
Ed Medina

Education

Microsoft/Great Learning

Microsoft AI900 Certification & Azure Generative AI With OpenAI

FEB. 2024-SEPT. 2024
  • AI Fundamentals & Azure AI Services – Covered AI concepts, machine learning basics, and Azure AI services like Cognitive Services and Machine Learning Studio.
  • Azure OpenAI, Python, & Generative AI – Gained hands-on experience with GPT models, prompt engineering, and integrating AI into business applications using Python and relevant libraries.
  • AI Deployment & Responsible AI – Developed and deployed AI solutions using Python, Azure AI Studio, APIs, and followed best practices for responsible AI development.

Massachusetts Institute of Technology

Certificate, No-Code AI and Machine Learning

FEB. 2024-SEPT. 2024
  • Rapid AI Prototyping & Machine Learning Implementation – Learned to build and deploy AI models with minimal programming, using intuitive no-code tools for automation and decision-making.
  • Applied AI for Business & Strategy – Explored real-world AI applications across industries, focusing on optimizing workflows, enhancing decision processes, and leveraging AI-driven insights.
  • Hands-On AI Model Development – Created and tested machine learning models for classification, prediction, and data analysis, using cloud-based AI platforms and visual modeling tools.

University of Kansas

BA Biology & English

SEPT. 1991-JAN. 1997
  • Howard Hughes Biomedical Research Scholar – Neural lab intern.
  • Double Major – Creative Writing & Pre-medicine.
Ed Medina

Awards & Achievements

  • 2014 Pulitzer Prize for coverage of the Boston Marathon bombing.
  • 2012 New England Regional Emmy Award for documentary on Mitt Romney’s presidential campaign.
  • 2002 ONA Enterprise Journalism Award, Annenberg School of Journalism, for Catholic Church investigation.
Ed Medina

Technical Projects

Whoop Illness Prediction

JUNE 2024
  • Developed a Random Forest Decision Tree model to predict illness from personal biometric data provided by Whoop, achieving 90% accuracy and 70% recall.
  • Skills: Data processing, EDA, Pandas, SMOTE up-sampling to handle class imbalances, model evaluation.

Commercial Loan Documentation

ONGOING
  • Developing a RAG AI chatbot for automating commercial loan documentation at a community bank, collaborating closely with bank officers to align solution with operational needs. The project integrates OpenAI’s ChatGPT with a branching prompt dialogue, and an Azure front-end, streamlining workflows and enhancing efficiency.
  • Skills: RAG AI, prompt engineering, vector databases, Flask, Azure App Service, Agile.

Machine Learning in Market Trading

ONGOING
  • Applied Machine Learning algorithms to financial data, including Hidden Markov Models, K-Means Clustering, PCA, XGBoost, and LSTM neural networks for market predictions, pairs trading, and designing Reinforcement Learning Agents to autonomously trade stocks using techniques like Proximal Policy Optimization (PPO).
  • Skills: Data feeds, Backtesting, Strategy Returns, Matplotlib visualizations.

Fundraising Prediction for National Nonprofit

OCT. 2024
  • Evaluated data and built prototype models to yield predictive insights into future fundraising outcomes, event participation, and demographic trends for a national nonprofit, enabling data-driven decision-making.
  • Skills: EDA, foundational model prototyping, data evaluation, feature selection.

Microsoft-GenAI - Sentiment Analysis

MAY 2024
  • Utilized MSFT Azure’s OpenAI ChatGPT 3.5 for sentiment analysis of customer reviews, achieving 83% accuracy.
  • Skills: OpenAI engineering with Python, Pandas, SkLearn, NumPy.

Microsoft-GenAI - Prompt Engineering in Azure

APRIL 2024
  • Created prompts for structured responses from unstructured customer reviews using Azure OpenAI ChatGPT 3.5.
  • Skills: Azure, OpenAI Studio, prompt engineering.

MIT-NCAI - Amazon Recommendation System

OCT. 2023
  • Engineered a recommendation system based on customer ratings with an RMSE of 1.063, utilizing techniques including K-Nearest Neighbors and SVD.
  • Skills: Recommendation systems, K-Nearest Neighbors, SVD, RMSE, MAE, Rapid Miner.

MIT-NCAI – Spam Detection Using Text Data From Cyber Solutions

SEPT. 2023
  • Created a NLP-based spam detection model with a 96.59% accuracy using Decision Trees and Random Forest.
  • Skills: Decision Trees, Random Forrest, Pruning, Weighted Mean Recall & Precision, NLP.

MIT-NCAI - Decision Systems

AUG. 2023
  • Predicted booking cancellations for INN Hotels Group with an 85% accuracy using a Pruned Random Forest.
  • Skills: Random Forrest, Pruning, model fit, attribute weights, EDA.
Our Services

Your AI Journey

Start your AI journey and unlock new possibilities for your business.

Step 1 - AI Strategy Consultation

$300

/hour

Every successful AI project starts with a clear strategy — this consultation assesses your business goals and data readiness to ensure a strong foundation for AI implementation before moving to Step 2.

  • Identify AI opportunities tailored to your business.
  • Assess data and infrastructure readiness.
  • Provide expert recommendations—no implementation yet.
  • Suitable for small businesses and startups
Schedule a Consultation
  • Recommended

Step 2 - Exploratory Data Analysis & AI Prototyping

$1500-$2500

Flat fee

AI is only as good as the data behind it — this step validates the data quality. We perform EDA on it, and test AI models to prepare for full deployment.

  • Validate your data
  • Get actionable insights based on in-depth Exploratory Data Analysis
  • Build AI prototypes to test feasibility and make predictions
  • Define the best AI solution for deployment
  • Businesses with data in-hand can begin with this step
Start Your AI Prototype

Step 3 - Full AI Solution Deployment

Variable

Based on project requirements

Once your AI solution is tested and validated, we move to full-scale implementation to drive automation, efficiency, and business growth.

  • Develop and integrate AI-driven solutions.
  • Automate processes and enhance decision-making
  • Launch, optimize, and provide ongoing support
  • Tailored features and solutions for small and medium-sized businesses
Launch Your AI Project
Frequently Asked Questions

FAQ

Common Questions about our Pricing
Do I need to start with Step 1?

No, if you already have your data and have a general idea what you want to predict or build, then let’s get started with EDA/prototyping or schedule a call to talk about a full solution.

Historic data is used to train AI/ML. We work with a wide range of structured and unstructured data, including:

  • Financial & transaction data
  • Customer & sales insights
  • Marketing & behavioral analytics
  • Text, image, and multimedia data for AI-driven applications
  • Industry-specific datasets tailored to your business 

Different AI models required different data and amounts of data. Some AI/ML models can be trained on as little as a few thousand records. By contrast, a neural network’s accuracy increases with bigger data sets.

No problem! That’s why we start with Step 1: AI Strategy Consultation and Step 2: Exploratory Data Analysis (EDA). We assess your data’s quality, structure, and completeness, and if needed, we’ll help you refine it before moving forward.

Pricing is variable based on complexity. Strategy consultations start at $200/hr, EDA & AI prototyping range from $1,500-$2,500, and full AI solutions start at $10,000+.

AI can drive efficiency, automate repetitive tasks, and uncover insights that improve decision-making. Whether it’s predictive analytics, automation, or AI-powered assistants, we tailor solutions to optimize your business operations and growth.

No! We guide you through every step, ensuring AI solutions fit your business needs without requiring technical expertise.

  • Industry Expertise: AI solutions tailored for real estate, banking, e-commerce, and more.
  • Results-Driven Process: We ensure measurable ROI from AI implementation.
  • End-to-End Support: From strategy to deployment, we guide you every step of the way.

 

Ready to explore AI for your business? Book a strategy session today!

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