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Nicolas Rodriguez Celys has a diverse work experience spanning multiple companies and roles. Nicolas is currently working as a Senior Business Data Analyst at Mercado Bitcoin since August 2021. Prior to this, they were a Data Analyst at ANBIMA from October 2018.

Before joining ANBIMA, Nicolas worked as an Application Developer at JPMorgan Chase & Co. from April 2011 to June 2017. In this role, they were responsible for developing regulatory reports and maintaining the integrity of financial information across various business areas.

Nicolas also has experience as an Application Developer at PRAGMA S.A. from August 2010 to March 2011. In this role, they worked as a Java programmer and software developer leader, handling requirements and incidents for the Supernet portal.

Throughout their career, Nicolas has demonstrated expertise in data analysis, data engineering, data science, and data visualization. Nicolas has played a key role in evolving and implementing analytic technology infrastructure, supporting business decisions, and managing local requirements.

Overall, Nicolas Rodriguez Celys has a strong background in data analysis and application development, with a focus on driving data-driven decision-making within organizations.

Nicolas Rodriguez Celys completed their Bachelor's degree in Computer Science from Universidad de Los Andes between 2004 and 2010. During the same period, they also obtained a Bachelor's degree in Electronics Engineering from the same institution.

In terms of additional certifications, Nicolas obtained the following:

1. Serverless Data Processing with Dataflow: Develop Pipelines from Coursera in December 2021.

2. Google Analytics for Beginners from Google in September 2021.

3. Machine Learning for Trading Specialization from Coursera in December 2020.

4. Python (Basic) from HackerRank in September 2020.

5. Data Science Math Skills from Coursera in April 2020.

6. Data Engineering, Big Data, and Machine Learning on GCP Specialization from Coursera in November 2019.

7. MIT Big Data and Social Analytics from MIT School of Architecture and Planning in November 2017.