Samuel Lopera Torres

At TIGO Colombia/Millicom, I developed B2B churn prediction models using Python and Catboost, and performed exploratory analysis on data with over 2 billion records. I also gained experience working with large databases hosted on AWS and Cloudera Impala.

At Bancolombia/Grupo Cibest, I worked on data pipelines that extracted, loaded, and transformed data from an AS/400 system for Power BI dashboards. I also developed automations for generating and distributing client notifications from daily operational data.

My projects include a Nova student-group chatbot using the OpenAI API and natural language processing, which received approximately 2,000 API requests on its first day. I also built a Streamlit app to analyze clients’ internet navigation data and process geospatial information.

I’ve applied statistical analysis, data integration, and visualization to practical projects, including automating payroll deduction agreement queries and developing quantum data encoding methods with PennyLane. I’m seeking a challenging data science role where I can apply my skills to support business growth and innovation.