Skip to content
View frankyemm's full-sized avatar

Block or report frankyemm

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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