I am a Political Scientist and Certified Data Analyst, currently completing the final semester of a postgraduate program in
Visual Analytics and Big Data, as well as the last year of undergraduate degrees in Economics and Finance.
As a professional, I have experience in analyzing and visualizing large datasets, statistical, financial and econometric
modeling, project management, database administration, and the development of strategic reports for decision making.
I possess strong skills in Python, R, STATA, SQL, advanced Excel, and Power BI, which I leverage to
optimize processes, generate actionable insights, and deliver strategic value to organizations.
4 modules: Statistical Methods, Foundations and Applications; Statistical Modeling; Multiple Statistical Methods; Multivariate Statistical Methods.
5 modules: Fundamentals of Econometrics; Microeconometrics; Macroeconometrics; Financial Econometrics; Impact Evaluation.
"Those who earn the Google Advanced Data Analytics Certificate have completed seven courses that include hands-on, practice-based assessments and are designed to prepare them for advanced roles in data analytics and entry-level roles in data science".
The holder of this badge can perform as a Junior Data Scientist in any organization, using Python as a programming language and applying a wide range of Machine Learning and Deep Learning tools to solve advanced analytics challenges and work with large volumes of data.
Ability to perform exploratory data analysis and communicate results of data analysis, customer satisfaction analysis, and process optimization.
Identify compelling questions, analyze complex datasets, and accurately interpret results to drive informed, evidence-based decision-making.
Evaluate and manage corporate reputation for client organizations through data analysis from traditional media, social media, and other sources. Designed and implemented machine learning models and natural language processing algorithms in Python to automate the classification of key variables, reducing analysis time. Provide strategic recommendations to improve public perception and strengthen client reputation.
Work independently using tools such as R, Python, SQL, and Power BI to deliver economic, financial and customized data analyses, generating high-quality executive reports.
Provided financial and data analysis services to optimize business decisions, developing interactive dashboards in Power BI and automating data cleaning processes, reducing operational time. Enhanced the clarity of executive reports with effective visualizations in Excel and Power BI.
Analyzed trends using databases with Excel, MySQL, and R, and developed interactive dashboards in Power BI to monitor the strategic plan. Trained classification models in R and designed a web application to automate database updates and satisfaction evaluations, increasing process efficiency.
Available at: Link.
Certificate: Link.
Available at: Link.
Available at: Link.
RegAssure is a library designed to simplify the assessment of assumptions in various types of regression models in R. Releasing date on CRAN: September 4, 2023. Repository: Link.
Co-speaker at the University of Los Andes. Certificate: Link.
Available at: Link.
Available at: Link.
Data Visualization
Data Visualization
Data Visualization
Data Visualization
Data Visualization
Data Visualization
Data Visualization
Applied Statistics and Econometrics
Applied Statistics and Econometrics
Applied Statistics and Econometrics
Applied Statistics and Econometrics
Applied Statistics and Econometrics
Machine & Deep Learning
Machine & Deep Learning
Machine & Deep Learning
Machine & Deep Learnin
Machine & Deep Learning
Machine & Deep Learning
Machine & Deep Learning