Hey there! I’m the kind of person who finds joy in data—whether it’s teasing out insights from numbers or building a slick new website. My career has been a bit of a journey through the tech world, with stops as a Data Science Engineer, Data Analyst, SQL Server Developer, and even a Data Conversion Specialist. But at heart, I just love making things work better through technology.
I got my start with a B.A. in Psychology from the University of Maryland, Baltimore County, where I not only delved into the human mind but also played tunes as part of the jazz bands under the legendary Chris Vadala. That experience harmonized perfectly with my academic path, which later led me to Red Rocks Community College where I earned a double encore in tech with certifications in Software Development and Programming.
The crescendo of my educational symphony was a Master of Science in Data Analytics from CSU-Global, class of 2021, with a focus on the cutting-edge fields of AI and ML. My particular fascinations? Computer vision and natural language processing (NLP), fields where tech meets human perception and communication.
When I’m not delving into datasets or getting lost in lines of code, I find relaxation and inspiration by watching a variety of YouTube videos. From Mixed Martial Arts to in-depth coding tutorials and beyond, these videos fuel my passion for continuous learning and keep me updated on the latest trends and techniques. My world is one where creativity meets logic—whether I’m exploring the intricacies of web development, or marveling at the complexities of machine learning and data visualization, it’s all about finding the harmony in chaos and the patterns that lead to insights. I’m eager to connect and collaborate, so let’s see what stories we can tell through data and how we can make it sing!
Download my resumé.
Transforming complex data into compelling visual narratives.
Building scalable web applications with a focus on user experience.
Leveraging algorithms to drive innovation and solve real-world problems.
Developing systems that can interpret and act on visual information from the world.
Enhancing machine understanding of human language for better communication.
MS in Data Analytics, 2021
Colorado State University Global
Certified Programming Specialist, 2017
Red Rocks Community College
Certified Software Developer, 2016
Red Rocks Community College
BA in Psychology, 2009
University of Maryland, Baltimore County
Welcome to my blog, where I document my coding experiences and insights. Each blog post is presented as a Python notebook, complete with coding examples and detailed explanations. This is the most interesting part of my portfolio, as it provides a deep dive into my thought process and approach to problem-solving.
Next, delve into my portfolio of projects. Here, you’ll find a collection of projects that showcase my passion for data science, machine learning, and web development. Each project is accompanied by an embedded iframe Word document for a comprehensive project write-up, and you can also download PDF versions of these write-ups for offline reading.
For a more direct access to my code, you can visit my GitHub page. Here, you’ll find all my projects organized into repositories. Feel free to explore, clone, or fork these repositories.
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Explore my coding experiences, insights, and Python notebooks
Shining a Light on Our Latest and Most Engaging Projects
This blog post details a comprehensive exploration of machine learning models, starting with a classification task on the Iris dataset and progressing to an intensive investigation of linear regression and ensemble methods on the diabetes dataset. The analysis covers normalization, performance metrics like R-squared, MAE, MSE, and Median Absolute Error, and leverages cross-validation to uncover insights.
An in-depth exploration of machine learning techniques for handwritten digit recognition, providing a proof of concept for automating tasks in postal services and banking.
Shining a Light on Our Latest and Most Engaging Projects
Dive into the intriguing world of Expert Systems (ES) with this hands-on project focused on healthcare. Discover the essentials of ES, including rule-based reasoning and key components, using Pyke, a powerful Python-based knowledge engine. Learn how to leverage logic programming in the development of an ES tailored for healthcare applications. Join us as we delve into the potential, limitations, and areas for improvement of ES across healthcare and other real-world sectors.
Journey through heuristic-based problem solving using the A* algorithm and SimpleAI. Solve the classic 8-Puzzle problem, delve into the power of heuristics, explore the Manhattan distance heuristic’s efficiency, and discuss real-world applications.
Explore the use of Naive Bayes and scikit-learn in predicting golf play based on weather. Delve into Bayes' theorem, Laplacian correction, and the practical application of the categoricalNB() model. Uncover the significance of frequency tables, likelihood tables, and posterior probabilities in making accurate predictions.
Tier 1 SAS Academic Specialization
Recipients leverage a variety of SAS tools for SAS datasets, SAS programming, SAS Studio, statistical analysis, data visualization, data mining, descriptive analytics, and predictive analytics.
Tier 1 SAS Academic Specialization
Recipients leverage a variety of SAS tools for SAS datasets, SAS programming, SAS Enterprise Miner, SAS Studio, statistical analysis, data visualization, data mining, descriptive analytics, and predictive analytics.
Tier 3 SAS Academic Specialization
Recipients leverage a variety of SAS tools for SAS datasets, SAS programming, SAS Enterprise Miner, SAS Studio, machine learning, statistical analysis, data visualization, data mining, descriptive analytics, predictive analytics, and text analytics.