Fernando Franco

Full-stack data specialist: analytics, engineering, science

As a graduate student in Big Data, I am passionate about using data to drive business decisions and improve organizational performance. I am currently seeking opportunities in the consulting and technology sectors, where I can leverage my skills and expertise in data analysis and visualization to drive meaningful change. I have experience working on a variety of projects, including analyzing customer data to improve marketing campaigns and developing predictive models to identify trends and patterns in large datasets. I am proficient in a range of data analysis tools and languages, including SQL, Python, and Tableau, and I am committed to staying up-to-date with the latest trends and developments in the field. In addition to my technical skills, I am a strong communicator and problem-solver, with the ability to work effectively in teams and to translate complex data into actionable insights. I am looking for a dynamic and challenging work environment where I can continue to learn and grow, and where I can make a real impact using my skills and experience in data analysis and visualization.

Things I Can Do

I have worked to cultivate knowledge, skills, and experience that together make up a comprehensive toolkit to approach all kinds of chellenges and provide insightful data-driven solutions.

  • Python, R, SQL
  • Machine & deep learning
  • Hadoop, Karfka, Spark
  • Big data technologies & architectures
  • PowerBI, Tableau, Adobe
  • Data visualization & analytics

A Few Highlights

This is a selection of projects from multiple areas of the data lifecycle process. You can find more of my projects and details on them in my GitHub profile.

Financial ETL process using SQL and Spark

Put together an entire extraction, transformation, loading (ETL) process using Binance's API to get financial data to specifications. #Apache #Spark #NiFi #SQL #Plotly

Multiple machine learning notebooks using Python

Experimented with plenty of approaches, libraries, and algorithms in the ML environment to get a good grip on it. #Python #Pandas #ScikiLearn