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frankyemm/README.md

Hi, I'm Franky 👋

I’m a Data Analyst / Data Engineer with a background in Industrial Engineering and hands-on experience building analytics solutions, automating data workflows, and delivering actionable insights for business decision-making.

My work focuses on transforming raw data into reliable, scalable, and business-ready information using modern analytics, cloud platforms, and automation tools.

🚀 About Me

  • 📊 Data Analytics & BI: Experience designing KPIs, building executive dashboards, and delivering insights using Power BI, SQL, and Python.
  • ⚙️ Data Engineering & Automation: Hands-on experience building ETL/ELT pipelines, automating data ingestion and reporting using APIs, Power Platform, and workflow orchestration tools.
  • ☁️ Cloud & Data Platforms: Practical experience working with AWS (Glue, Athena, S3, EC2) and GCP (BigQuery, Cloud Storage, Cloud Run).
  • 🤝 Business-Oriented Mindset: Strong ability to translate business questions into data solutions and communicate findings clearly to technical and non-technical stakeholders.
  • 🚀 Fast Learner & Owner: Comfortable learning new technologies quickly, leading projects, and taking ownership from design to delivery.

🔬 Selected Projects

  • RestaurantGuru (Recommendation System)
    Designed and deployed a data pipeline and recommendation system using Python and NLP (DistilBERT), integrating cloud services on GCP, analytics dashboards, and a web interface to support data-driven restaurant recommendations.

  • Telecommunications Market Analysis (Argentina)
    Defined and analyzed key growth and operational KPIs (penetration, speed, fiber coverage), identifying regional gaps and delivering data-driven recommendations to support infrastructure and investment decisions.

  • Analytics & Automation Solutions
    Built automated reporting and analytics workflows integrating databases, APIs, and messaging platforms, reducing manual effort and improving data reliability for operational and financial analysis.

🧠 Applied Machine Learning

  • Recommendation systems and predictive modeling
  • Models using Scikit-learn (Random Forest, Decision Trees, XGBoost)
  • Feature engineering, evaluation, and business-focused interpretation of results

🛠️ Tech Stack

  • Languages: Python, SQL
  • Analytics & BI: Power BI, Advanced Excel
  • Data Engineering: ETL/ELT, Apache Spark (basic), workflow orchestration
  • Cloud: AWS (Glue, Athena, S3, EC2), GCP (BigQuery, Cloud Storage, Cloud Run)
  • Databases: PostgreSQL, MySQL, BigQuery, MongoDB
  • Tools: Git, Docker, Linux, APIs (REST, JSON, XML)

🤝 Let’s Connect

I’m open to opportunities where I can continue growing as a Data Analyst or Data Engineer and contribute to data-driven decision-making at scale.

Pinned Loading

  1. restaurantguru restaurantguru Public

    Forked from Belto321/restaurantguru

    Jupyter Notebook 1

  2. DataAnalysisTelecommunicationsSector DataAnalysisTelecommunicationsSector Public

    Este proyecto tiene como objetivo analizar el comportamiento del sector de telecomunicaciones en Argentina utilizando datos relevantes sobre velocidad de internet, penetración de hogares conectados…

    Jupyter Notebook 1

  3. Movie-Recommender Movie-Recommender Public

    Jupyter Notebook 1

  4. Cars-Price-Predict Cars-Price-Predict Public

    Proyecto integrador basado en la exploración y transformación de datos para su posterior uso en modelos de clasificación y predicción mediante aprendizaje supervisado

    Jupyter Notebook 1

  5. SpaceAttack SpaceAttack Public

    Python