I'm Data Analyst
Maria Fernanda Pina Mousseau
Welcome to my portfolio website! My name is Maria Fernanda Pina-Mousseau, and I am a data analytics enthusiast with a diverse background in biology, UX design, and data analytics. Originally from Costa Rica, I am currently pursuing a master’s degree in Data Analytics from SUNY Plattsburgh.
About Me
Providing solutions based on factual data.
With my expertise in machine learning and data visualization, I can help organizations gain valuable insights from their data and make informed decisions. Whether it’s building predictive models, identifying trends and patterns, or creating interactive visualizations, I have the skills and tools necessary to help organizations unlock the full potential of their data.
Skills
Programming Languages & Software
Ability to code proefficiently in Python, R and SQL. Expertise in software such as Excel, Tableau and Power BI.
Machine learning algorithms
Ability to clean and process data to feed it into different machine learning algorithms.
Data Insights
Ability to abstract insights to make data driven decisions based on the results of the exploratory data analysis and predictive or prescritive analytics.
Work Experience
Abstraction of required state and national trauma data bank elements into the Trauma Registry database on all patients meeting state or national trauma inclusion criteria. Code the appropriate medical procedures
Creation of wireframes of Zyndicate’s software using Figma ensuring that the software is intuitive and user-friendly by designing the user interface in a way
that aligns with users’ needs and expectations.
Research and identification of solutions to technical problems.
Collaboration with vendors to locate replacement components and solve advanced problems.
As an English-Spanish and German interpreter at Lionbridge, my main responsibility was to facilitate communication between parties who spoke different languages.
As a professor assistant for biology courses and labs at the University of Costa Rica, my main responsibility was to support the professor in teaching and facilitating student learning.