Data Analyst Sr Specialist

• Apr 2023 - Present

Data Analyst

• Sep 2021 - Mar 2023

Relevant activities:- Building pipelines to transform the raw data from diverse marketplace as (Amazon, Mercado Libre, Manual sources, APIs) to generate the necessary datasets to be consumed by dashboards and internal tools.- Building actionable dashboards to track KPI for Sales and Demand Planning.- Data Analyses to find relevant insights.Technologies:- BI tools: DataStudio/Looker, Tableau.- ETL: DBT- DWH: Snowflake/AWS-S3, BigQuery/CloudStorage

Senior Data Scientist

• Mar 2021 - Present

General activities: - Formalize the requirements with customers and users to be aligned under business process. - Project planning for the development of the data science project. - Develop data science projects: problem analysis, proposal approach, data analysis, machine learning model development. Relevant projects developed: - Customer segmentation for a financial institution in Panama. We performa statistical analysis for customers and products to identify the relevant features. The customers were segmented with a clustering algorithm (K-means). Also, we build a dashboard in Power BI to track the most relevant KPIs in each cluster. - Sustainable Debt model for a financial institution. We modeled the problem as a linear programming model. This problems optimize the sustainable debt of a company considering diverse inputs as EBITDA, Interest rate, and debt duration by keeping the financial metrics (Debt Service, Indebtedness, interest coverage) in a specific range. The model was implemented in Pyomo and solved with IPOPT. Technologies: - BI: PowerBI - Ecosystem: Azure - Development: Jupyternotebooks, Python (CLI). Show less

Professor

• Oct 2020 - Present

Graduated courses with topics related to: - Business Intelligence (BI) - Business Analytics (BA) - Data Science - Big Data - Machine Learning - Advanced Analytics platforms - Introduction to python programming Graduated courses with topics related to: - Business Intelligence (BI) - Business Analytics (BA) - Data Science - Big Data - Machine Learning - Advanced Analytics platforms - Introduction to python programming

Data Scientist

• Sep 2019 - Aug 2021

I develop mathematical programming models and intelligent optimization algorithms for industrial production processes. - Mathematical programming: linear, no-linear, mixed, quadratic. - Metaheuristics: Genetic algorithms, NSGA-II, MOEA/D, and others flavors. - Results visualizations in Tableau and PowerBi. Relevant projects: - Quadratic programming model to optimize the price and demand of raw material. - Optimization of TV advertising campaigns under audience and budget constraints combining intelligent optimization and forecasting algorithms for a pharmaceutical company. - Products campaign design with analysis of customer segmentation for a consumer packaged goods company. Other activities: - Participation in the recruitment process for technical interviews. - Presentation of demos and PoCs. Technologies: - BI: Power BI, Tableau - ML: Dataiku, Python, R - DWH: Snowflake, Datameer Show less

Ph-D. Candidate

• Aug 2015 - Dec 2020

I developed intelligent optimization algorithms for multi-objective optimization problems applying strategies from linear programming models, branch-and-bound algorithms, and metaheuristics algorithms. I developed intelligent optimization algorithms for multi-objective optimization problems applying strategies from linear programming models, branch-and-bound algorithms, and metaheuristics algorithms.

Researcher Internship

• Oct 2016 - Jun 2017

I performed research on parallel hybrid exact algorithms for solving multi-objective combinatorial problems. Developed for high-performance computing centers in distributed memory and shared memory architectures. I performed research on parallel hybrid exact algorithms for solving multi-objective combinatorial problems. Developed for high-performance computing centers in distributed memory and shared memory architectures.