Hey there! 👋 I'm EnigmaK9, a passionate and results-driven Computer Engineer based in Mexico City, Mexico. With a strong background in web development, data science, and more, I'm dedicated to pushing the boundaries of what's possible in the digital world.

🌐 Speed Pro Website

As a Web Developer at Speed Pro, I had the opportunity to revamp and optimize web applications using cutting-edge technologies. I harnessed the power of Firebase for seamless backend functionality, employed Bootstrap for creating responsive designs, and mastered HTML, CSS, and TypeScript for crafting elegant frontends. My skills in integrating databases led to improved data management, enhancing the overall user experience.

🏢 Digital Systems Lab, UNAM

In pursuit of my Computer Engineering degree, I am currently working on a sentiment analysis project for social media data. My journey involves implementing natural language processing techniques like tokenization, lemmatization, and stemming. Leveraging a multimodel database, I manage and analyze data using popular Python libraries such as pandas, numpy, scikit-learn, NLTK, and Keras. SQL plays a pivotal role in data retrieval and model evaluation, where metrics like accuracy, precision, and recall are scrutinized.

🏢 Virtual Teaching and Cyberpsychology Lab, UNAM

During my volunteer role, I was entrusted with securing servers and developing web applications. I utilized TypeScript and Python for web app development and integrated MariaDB databases to ensure secure data management. My proficiency in SQL, Python, and web development played a crucial role in supporting cyberpsychology research and teaching activities.

🏢 Dev.F, México City, México

In the Data Science bootcamp, I honed my skills in SQL for working with databases like MongoDB and SQLite. I mastered Python and leveraged powerful libraries such as Pandas and NumPy for data manipulation and analysis. MongoDB databases also came under scrutiny for data storage and retrieval. SQL played an essential role in efficiently managing relational data and integrating it into various data science workflows. I seamlessly applied statistical techniques and machine learning algorithms, often incorporating SQL for data preprocessing and analytical pipelines.

🏢 LINX Laboratory, UNAM

As part of the cutting-edge Colmena Project, I am instrumental in implementing deep learning techniques in nano-satellites. My role involves utilizing Deep Q Reinforcement Learning to optimize battery usage. This groundbreaking work is expected to be deployed by the end of this year and employs advanced concepts of Python, Deep Learning, and Control Theory.

Feel free to reach out and connect with me on LinkedIn or check out my other projects and contributions on GitHub.

Thanks for stopping by! 🌟