from typing import Tuple, Dict, List

class Attributes:
    """
    LlucMH — Data Engineer · Analytics Engineer · Data Scientist
    Full-Stack Developer (hobby)
    """
    
    @staticmethod
    def contact() -> Tuple[str, str]:
        linkedin = "https://www.linkedin.com/in/lluc-mata"
        tableau  = "https://public.tableau.com/app/profile/lluc1136"
        github   = "https://github.com/LlucMH"

        return linkedin, tableau, github

    @staticmethod
    def life() -> Tuple[List[str], List[str]]:
        languages     = ["Spanish", "English"]
        nationalities = ["Spanish"]

        return languages, nationalities

    @staticmethod
    def education() -> dict:
        degrees = {
            "bachelor": [
                "BSc in Mathematics"
            ],
            "masters": [
                "MSc in Computational and Mathematical Engineering",
                "MBA — Master in Business Administration",
                "Master's Degree in Teaching (Pedagogy / Education)",
                "Master in Big Data & Business Intelligence"
            ],
            "postgraduate": [
                "Postgraduate Degree in Marketing Analytics"
            ],
            "vocational_training": [
                "Ironhack — Full-Stack Software Development Bootcamp"
            ],
            "other_certifications": [
                "Advanced Course in Artificial Intelligence"
            ]
        }
        return degrees

        extra_courses = [
            "Machine Learning",
            "Deep Learning (Keras)",
            "Simulation (SimPy)",
            "Probabilistic Modeling",
            "Data Visualization"
        ]

        return degrees, extra_courses

    @staticmethod
    def coding() -> Tuple[Dict, Dict, Dict, Dict, List[str]]:
        
        data_stack = {
            "languages"        : ["Python", "SQL"],
            "processing"       : ["Pandas", "NumPy"],
            "visualization"    : ["Matplotlib", "Seaborn"],
            "machine_learning" : ["Scikit-Learn"],
            "analytics"        : ["Tableau", "Astrato", "Metabase"],
            "pipelines"        : ["Airflow", "dbt"],
            "cloud"            : ["GCP", "AWS"],
            "warehousing"      : ["BigQuery", "Redshift", "Databricks"],
            "data_modeling"    : ["Dimensional", "Star Schema", "Medallion Architecture"],
            "governance"       : ["SQLFluff", "dbt Tests"],
            "databases"        : ["PostgreSQL"],
            "devops"           : ["Docker", "GitHub"]
        }

        fullstack = {
            "frontend": ["HTML", "CSS", "JavaScript", "React"],
            "backend" : ["Java", "Spring Boot", "REST APIs"],
            "cloud"   : ["Supabase"],
            "tools"   : ["Figma", "Vite", "npm", "Postman", "Netlify", "Vercel"]
        }

        advanced_topics = {
            "statistics"   : ["Regression", "Clustering", "Hypothesis Testing", "A/B Testing"],
            "simulation"   : ["SimPy"],
            "deep_learning": ["Keras"]
        }

        specialities = [
            "Data Engineering",
            "Analytics Engineering",
            "Data Science",
            "ETL/ELT Pipelines",
            "Cloud Data Architectures",
            "Dashboarding & BI",
            "ML for Business Use Cases",
            "Experimental Design",
            "Optimization",
            "Early Warning Systems"
        ]

        environment = [
            "VSCode", "PyCharm",
            "GitHub", "Docker",
            "GCP", "AWS"
        ]

        return data_stack, fullstack, advanced_topics, specialities, environment