#!/usr/bin/python
class EnigmaK9:
def __init__(self):
self.name = "EnigmaK9"
self.profession = "Computer Engineer"
self.location = "Mexico City, Mexico"
self.skills = ["Web Development", "Data Science", "Deep Learning", "SQL", "Python", "TypeScript"]
self.languages = ["en_US", "es_MX"]
self.experience = [
{"role": "Web Developer", "company": "Arrendify", "website": "https://arrendify.com/", "description": "Revamped and optimized web applications using cutting-edge technologies like Django and Python."},
{"role": "Sentiment Analysis on X", "company": "Digital Systems Lab, UNAM", "description": "Implemented natural language processing techniques and managed data using Python libraries such as pandas, numpy, scikit-learn, NLTK, and Keras."},
{"role": "Volunteer", "company": "Virtual Teaching and Cyberpsychology Lab, UNAM", "description": "Secured servers and developed web applications using TypeScript and Python, integrated MariaDB databases for secure data management."},
{"role": "Data Science Bootcamp", "company": "Dev.F", "description": "Honed skills in SQL, Python, and data manipulation using Pandas and NumPy, integrated statistical techniques and machine learning algorithms into workflows."},
{"role": "Colmena Project", "company": "LINX Laboratory, UNAM", "website": "https://linx.nucleares.unam.mx/colmena/", "description": "Implemented deep learning techniques in nano-satellites using Deep Q Reinforcement Learning to optimize battery usage."}
]
def say_hi(self):
print("Hey there! 👋 I'm EnigmaK9, a passionate and results-driven Computer Engineer based in Mexico City. Check out my projects on GitHub and connect with me on LinkedIn!")
def display_experience(self):
for job in self.experience:
print(f"Role: {job['role']}")
print(f"Company: {job['company']}")
if 'website' in job:
print(f"Website: {job['website']}")
print(f"Description: {job['description']}\n")
me = EnigmaK9()
me.say_hi()
me.display_experience()
enigmak9 Goto Github PK
Name: B70Dragon ♘
Type: User
Company: Enigma Unit
Bio: | Python | SQL | Deep Learning | Data Science |
Location: Mexico City, Mexico