class DataExpert:
def __init__(self):
self.name = "Carlos Pulido"
self.role = "Engineering, Analysis, Science & Automation Specialist"
self.location = "Zapopan, Jalisco, MX"
self.languages = ["Python", "ETL, "SQL", "Pipelines", "Warehouses", "Lakes"]
self.tools = ["Git, "PowerApps", "Cloud"]
self.interests = ["Machine Learning", "AI", "Process Automation"]
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together!")
me = DataExpert()
me.say_hi()- 📊 Data Analysis & Visualization: Creating interactive Power BI dashboards that drive decision-making
- 📊 Data Science: Developing and mantaining ML pipelines and controls.
- 🤖 Process Automation: Building Python bots and Power Automate flows to eliminate repetitive tasks
- 🗄️ Database Management: Designing and optimizing SQL Server databases and data pipelines
- 📈 Business Intelligence: Transforming raw data into actionable insights for procurement and contract management
- 🔧 Excel Mastery: Advanced VBA macros and complex spreadsheet automation
- 🧠 Machine Learning & AI for predictive analytics
- ⚡ Advanced SQL optimization and query performance tuning
- 📱 Android development with Kotlin
- 🐍 Advanced Python libraries (Pandas, NumPy, Scikit-learn)
|
🛠️ Tech Stack:
📊 Description: Analysis of AI and automation risks across different industries in Jalisco, Mexico. Using machine learning models to predict job displacement and identify vulnerable sectors. |
🛠️ Tech Stack:
₿ Description: Real-time cryptocurrency data pipeline that collects, processes, and analyzes market data. Includes automated ETL processes and predictive analytics for trading insights. |
I'm always open to interesting conversations and collaboration opportunities!
