The Programmer
I am a seasoned Python developer with expertise in code optimization, data analysis, preprocessing, and utilizing Python's advanced features.
Skilled in TensorFlow for building, training, and optimizing neural networks, including data preprocessing and model validation.
Proficient in using Python's pandas for data organization, cleansing, and preparation for machine learning, with seamless SQL integration.
Skilled in performing exploratory analysis using a broad range of plots from the comprehensive matplotlib library.
Adept at integrating data into relational schemas within a variety of SQL-based relational database systems, including PostgreSQL and MySQL.
Proficient in JavaScript and frameworks like Node.js, React, and jQuery, with extensive experience in integrating JavaScript into web applications.
Capable of working with HTML documents and able to implement Bootstrap, and to rapidly get web applications up and running.
Well-versed on the fundamentals of the Django framework and deploying web applications.
Deep understanding of Git, and extensive experience of using basic git commands to add & commit files and create new branches.
I am well-versed in utilizing Anaconda and virtual environments to handle varying package requirements across multiple applications.
Skilled in using LLMs like ChatGPT for data analysis, model selection, and accelerating front-end development.
Experienced with Linux and Windows systems, skilled in file management using BASH and PowerShell CLI commands.
Class:
Programmer
Lvl: BOSS
Hello! My name is Deon Posey. I'm a Software Developer and Data Analyst originally from Indianapolis, now based in Phoenix. I have a robust portfolio in data science and web development. I am also currently the author and sole owner of the 'snaggr' Python package -an easy and reliable way for data engineers to create correctly labeled datasets for Natural Language Processing. My journey began with a fascination for computer science, electronics, and software, which led me to pursue a career where I could blend analytical rigor with creative problem-solving. I have a strong background in computer science, networking, and cybersecurity fundamentals, having been certified in computer repair by the J. Everett Light Career Center since 2012. Starting on the hardware side of the tech industry, my first introduction into programming was writing a for-loop on an Arduino microcontroller to control LED lights. Since then, my skills as a programmer and, more importantly, a problem solver have expanded exponentially. I now utilize several programming languages to accomplish various tasks. Over the years, I've developed expertise in using libraries like Pandas and NumPy for data manipulation, sklearn, pytorch and tensorflow for training machine learning models, and frameworks such as Django, Flask, and Node.js to create interactive web applications. Whether it is deploying machine learning models to predict trends, writing code for interacting with sensors and controlling electronics, or crafting user-friendly websites, my goal is to make technology both accessible and powerful.