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Building AI, RAG & Data Engineering solutions
πŸš€
Building AI, RAG & Data Engineering solutions

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jlandaa/README.md

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πŸ’« About Me:

  • πŸ‘‹ Hi, I’m Juan Manuel Landa
  • πŸš€ Computer Engineer with over 2 years of experience as a Data Analyst and BI Consultant.
  • πŸ“Š Specialized in designing ETL processes, KPI visualization, and report automation in corporate environments.
  • βš™οΈ Proven track record in reducing manual errors by up to 60% and improving response times by 50%.
  • πŸŽ“ Graduated in Computer Engineering from UADE.

πŸ“« Email: jmlanda93@gmail.com πŸ”— LinkedIn: linkedin.com/in/juan-manuel-landa 🌐 Website: juan-manuel-landa.netlify.app

πŸ’» Tech Stack:

πŸ“Š Business Intelligence & Visualization

MicroStrategy Power BI Tableau Looker Studio

🐍 Programming & Data Science

SQL Python R NumPy Pandas Scikit-Learn TensorFlow

πŸ—„οΈ Databases & Cloud

MicrosoftSQLServer Amazon Redshift Postgres MySQL

βš™οΈ ETL & Orchestration

Apache Airflow SSIS Talend

πŸ“œ Certifications:

  • πŸ† MicroStrategy: Certified Project Architect, Administrator, Database Administrator, and ONE Professional.
  • πŸ… Alation: Certified Professional - Consultant & Seller.
  • ☁️ Soda: Cloud Fundamentals.

⚑ Current Focus:

  • 🎯 Open to: Full-time corporate roles within the Data and Business Intelligence sectors.
  • 🌱 Currently exploring: Advanced ETL automation and the seamless integration of Python workflows with enterprise BI platforms.

πŸ’– Support my work

If this tool saved you time, helped you solve a complex problem, or you are using it in production, consider supporting my open-source development!

Your support helps me cover cloud infrastructure costs and keeps these Data Engineering & AI boilerplates updated.

πŸ“Š GitHub Stats:

Activity Graph


Visitas de perfil

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  1. ETL_ADR_Argentina ETL_ADR_Argentina Public

    Automated ETL pipeline and interactive Streamlit dashboard for financial analysis of Argentine ADRs.

    Python 1

  2. SmartCredit-ML SmartCredit-ML Public

    End-to-End Credit Risk Scoring. Features XGBoost, MLOps (Data Drift), SHAP, and NLG Assistant. Deployed via Streamlit & BigQuery.

    Python

  3. Sales-AI-Chatbot Sales-AI-Chatbot Public

    Hybrid sales chatbot using RAG, LangChain, and deterministic logic.

    Python 3

  4. Retail-SQL-Reporting Retail-SQL-Reporting Public

    BI analysis and complex SQL queries on Databricks for the retail sector.

  5. Retail-Price-Scraper Retail-Price-Scraper Public

    Web scraper and data analysis for price monitoring and competitive intelligence in retail. Visualizations built in Power BI.

    Python 1

  6. Automated-Alert-Bot Automated-Alert-Bot Public

    Automated bot for web monitoring and real-time alert system.

    Python