Open to opportunities

Sebastián Alberto Nuñez Montes

@sebastinalbertonuezm

Message

Computer Scientist who builds scalable web apps and data-driven ML solutions.

Peru

Message

What I'm looking for

I’m looking for a role where I can build scalable, user-focused web systems and deliver data-driven ML insights—working in Agile teams with strong architecture discussions and real impact for stakeholders.

I’m a Computer Scientist with over 4 years of experience spanning software development and data science. I build modern web applications with React, Next.js, Vue.js, Node.js, and Python, and I develop machine learning solutions using XGBoost, LightGBM, CatBoost, and Transformer-based models.

In banking and software development environments, I’ve supported data-driven decision-making through predictive modeling, data cleaning and feature engineering, and stakeholder-ready reports and dashboards. I’m currently completing a Master of Science in Data Science and contributing to AI research through scientific publications, with a strong focus on scalable architecture and analytical problem-solving.

Experience

Work history, roles, and key accomplishments

Front-End Developer & Scientist

Junior Apselom

Jan 2021 - Jan 2026 (5 years)

Develop and maintain modern web applications using React and Next.js. Integrate REST APIs, build reusable frontend components, and collaborate with teams using Agile (Scrum) while maintaining code with Git.

React Next.js JavaScript TypeScript HTML CSS REST APIs Frontend Git Jira Scrum Agile

Data Scientist Intern

Interbank

Jan 2022 - Jan 2023 (1 year)

Work on data science projects supporting business decision-making through data analysis and machine learning. Develop predictive models in Python and create reports and dashboards for stakeholders.

Python SQL Excel Machine Learning XGBoost LightGBM CatBoost predictive modeling Data Cleaning Feature Engineering Data Analysis Reports And Dashboards

Data Science Intern

Interbank

Jan 2021 - Jan 2022 (1 year)

Support machine learning initiatives and analytical projects. Prepare datasets, assist with model training and evaluation, and help automate repetitive analytical tasks with report generation.