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Byron Ferrer

@byron

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Data analyst intern transforming data into clear insights through Python, SQL, and machine learning.

Ecuador

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What I'm looking for

I’m looking for internship or pre-professional practice opportunities as a junior data analyst, where I can apply Python/SQL/pandas, grow in machine learning, and work on real data analysis projects alongside supportive mentors.

I’m a 5th-semester Engineering student in Data Analysis and Artificial Intelligence, and I bring an analytical, communicative mindset focused on continuous learning. I enjoy transforming data into clear information, solving problems with logic, and explaining technical ideas simply so they become actionable for others.

Through “Machine Learning Training,” I completed approximately 80 academic hours of supervised machine learning practice, applying classification, prediction, model training, data splitting, and model evaluation with Python and scikit-learn. I’m also building hands-on foundations through academic practices with MongoDB and Pentaho (ETL flows, data transformation, and data loading) and ongoing SQL projects for organizing, filtering, and analyzing database information to support decision-making.

Experience

Work history, roles, and key accomplishments

Current

Sales Data Analysis Dashboard

Current

Academic Practice

May 2026 - Present (1 month)

I have worked on a complete data analysis project using SQL and Power BI. I cleaned and organized sales data, created business questions, connected the database to Power BI, built interactive dashboards, and presented clear insights about sales, customers, orders, and product performance.

Remote SQL Power BI Data Cleaning Data Analysis Dashboards Excel Data Visualization Remote

Current

SQL Query Practice

Current

SQL Practice

Jan 2026 - Present (5 months)

Developed SQL queries in academic and practical projects to organize, filter, and analyze database information. Applied column selection, conditions, and sorting to extract data for analysis and decision support.

SQL Data Analysis Data Extraction

Current

MongoDB & Pentaho Practice

Current

Academic Practice

Jan 2026 - Present (5 months)

Completed academic practices with MongoDB and Pentaho, working with basic NoSQL database concepts and initial queries. Used Pentaho to understand ETL flows, including data transformation and data loading.

MongoDB Pentaho ETL data transformation Data Loading NoSQL Data Integration Database Queries

Education

Degrees, certifications, and relevant coursework

University of Guayaquil

Engineering in Data Analysis and Artificial Intelligence, Engineering in Data Analysis and Artificial Intelligence

2024 -

Activities and societies: Projects and training covering supervised ML (classification/prediction), data splitting and evaluation with Python/scikit-learn, and DataCamp coursework in Python, pandas, and supervised learning.

5th-semester student in Engineering in Data Analysis and Artificial Intelligence, trained in programming, statistics, data analysis, artificial intelligence, and databases. Currently strengthening skills in Python, SQL, pandas, machine learning, MongoDB, and Pentaho.