Data scientist carmen pérez

Applied advanced Machine Learning and Data Science
techniques using Python, Seaborn, Matplotlib, and NumPy for
data analysis and visualization. Built robust algorithms using
boosting and regression models, validated for accuracy and
effectiveness. Demonstrated practical application of these
tools and techniques.

Supported stakeholders, reporting, managed absenteeism,
engagement, sanctions, benefits, and improved tech
processes, including tracker updates and dashboard
maintenance.

Ensured high KPI compliance, conducted deep dives, drove
actions from Quality Assurance reports, and collaborated on
international learning projects.

Maintained high motivation, attendance, and grades.
Innovated department methodology.

Achieved billing record in team project. Improved and
innovated procedures.

Successfully managed tech and stats dashboards.
Contributed significantly to publications.

Python, Databases, Machine Learning, Data Visualization,
Web Scraping, Text Mining, Maths and Stats.

Academic excellence award 2016.

First-best marks in my years. Average Mark 9.08