Myckell Ronquillo

About Me

Welcome!

I'm Myckell Ronquillo, but you can call me Michael (that's how it's pronounced!). I'm currently employed at Accenture, a global leader in consulting and technology services. My journey began with a strong foundation in Computer Science from the University of Maryland, College Park, which equipped me with the skills and knowledge to excel in my career.

At Accenture, I’ve had the privilege of collaborating with subject matter experts across diverse fields, gaining valuable insights and learning new skills beyond coding. Working in dynamic, team-oriented environments has not only helped me grow professionally but also enriched my ability to adapt, contribute, and thrive as I continue to navigate and shape my career journey.

Feel free to check out my projects, connect with me on LinkedIn, or drop me a message!

Two Truths and a Lie

I once took an online college class on fitness walking.

I used to drink a lot of soda, but I haven't had a single drop in 2 years.

I've snowboarded 4 times and I've been on a Black Diamond.

Hobbies/Interests

I enjoy traveling to new places and trying out local food stops. I also spend time playing video games with friends such as League of Legends and Minecraft.

Projects

Website: myckell.com | Self | HTML • CSS • Javascript

• Developed a website from scratch using HTML, CSS, and JavaScript, featuring an "About Me" page, a resume section, current projects, and a "Contact Me" page.
• Includes various features, such as hover-over text animations and custom interactive elements.

Netflix Original Films Analysis | Self | Python • NumPy • Pandas • Scikit-Learn

• Utilized Python in Jupyter Notebook to create graphical and numerical representations of the dataset between RottenTomatoes and IMDb and employed NumPy, Pandas, and Scikit-Learn to develop predictive models to determine correlations between scores.
• Created a Python script to extract and cleaned data required for analysis.

CS Advising App | College | Java • JavaScript • HTML

• Designed functionality for adding, removing, and dropping classes, and implemented a load balancer to inform students about their course load and class difficulty, aiding them in effectively managing their coursework
• Collaborated with a team of four to develop a functional computer science advising application using Android Studio with Java as the primary programming language.

Optical Character Recognition for SWC | Self |Python • Flask • HTML

• Developed a webpage that enables users to upload or paste images of units from the game Summoners War Chronicles. The system extracts key unit statistics, including name, attack, defense, and health points (HP).
• The data analysis provides users with insights into the unit's efficiency and potential areas for improvement.

Just One Board Game | Self | JavaScript • Python • Socket.IO • HTML

• Developed a Python script leveraging EasyOCR for Optical Character Recognition (OCR) to extract and process lists of five words from 110 cards, efficiently storing them in a word bank for gameplay use.
• Building an online board game platform to play with friends remotely, utilizing Render for hosting both front-end and back-end services, ensuring seamless cross-state accessibility..