Erick Menjivar

Working on an azure based data engineering platform, testing ETL processes using python, Scala and SQL. Tech stack includes Azure data factory, Databricks and spark .

•Data infrastructure implementation using google cloud platform. •Data warehousing, data mapping and development. •Different ETL processes using gap tools. •AI and LLM implementation for automation taks. •Data agents development using vertex AI and gap tools. •Manage data science and machine learning projects for a fintech company. • Lead data mining and collection procedures • Ensure data quality and integrity • Interpret and analyze data problems • Build analytic systems and predictive models • Test the performance of data-driven products. • Creation of ML APIs • R&D with different models and techniques • Align data projects with organizational goals.

Working with GCP and data visualization tools.

• Conducted research, gathered information from multiple sources, and created machine learning and deep learning models, then deployed those models into production to obtain results. • Development of statistical and artificial intelligence models to predict the behavior of the power market from Panama to Guatemala and Mexico. • Development of data pipelines and ETL • Development of web scraping scripts to perform company tasks • Data visualizations and communication

Project manager and Data analyst at Enertiva, where I work preliminary in the development of new energy projects from Mexico to Panama, building machine learning algorithms to forecast energy production and incomes using existing weather APIs and national information datasets. Additional to this I deploy data visualization projects to our clients and within our organizations to show results and financial models. Moreover, in each project, we develop databases to save data for upcoming ML pipelines and solve clients’ requirements.