- Actively contribute to the creation of Power BI visualizations to effectively communicate insights and consolidate studies into dashboards for monitoring Supply Chain processes and decision-making.- Focus on identifying factors that could impact our terminals to ensure the best experience for our customers and the company.- Manage and analyze large volumes of data using SQL and Python, working with platforms such as Oracle and AWS.- Develop and optimize data flows and… Show more - Actively contribute to the creation of Power BI visualizations to effectively communicate insights and consolidate studies into dashboards for monitoring Supply Chain processes and decision-making.- Focus on identifying factors that could impact our terminals to ensure the best experience for our customers and the company.- Manage and analyze large volumes of data using SQL and Python, working with platforms such as Oracle and AWS.- Develop and optimize data flows and automations within our workspace. Show less

- As a Python Developer on the Data Office team, spearheaded the development of automation workflows for data ingestion and legacy process automation using Airflow, reducing manual tasks by 40%.- Designed, implemented, and developed ETL pipelines in microservices for public data using AWS tools (Lambda, ECS, EC2, CloudWatch, S3, SQS), improving data accessibility and processing efficiency by 50%.- Established and configured a comprehensive monitoring environment for data… Show more - As a Python Developer on the Data Office team, spearheaded the development of automation workflows for data ingestion and legacy process automation using Airflow, reducing manual tasks by 40%.- Designed, implemented, and developed ETL pipelines in microservices for public data using AWS tools (Lambda, ECS, EC2, CloudWatch, S3, SQS), improving data accessibility and processing efficiency by 50%.- Established and configured a comprehensive monitoring environment for data ingestion pipelines, integrating Linux, Airflow, ElasticSearch, Grafana, and Microsoft Teams WebHook, reducing system downtime by 20%.- Built web crawlers using Python libraries such as Selenium and BeautifulSoup, to capture and store data.- Utilized SQL to query and manipulate data in MySQL and Postgres databases, displaying results on internal websites.- Automated the creation and management of microservices in AWS using Terraform.- Configured and deployed applications in AWS and Linux environments, optimizing infrastructure performance and cost efficiency.- Managed CI/CD pipelines using Jenkins and version control with Git on Bitbucket, ensuring automated development workflows.- Applied automated testing with PyTest to ensure code quality.- Collaborated in sprint planning using Agile methodology with Jira and Scrum for project management. Show less

- Active Member of the Streamlit Student Ambassadors program, Spring '23, engaging in outreach and community-building initiatives.- Promoted adoption of the Streamlit framework for data science and machine learning, leading to a 10% increase in its use within the university data science community.- Developed and deployed over 10+ data science and machine learning applications using Streamlit, accelerating project timelines by 50%.- Collaborated directly with the… Show more - Active Member of the Streamlit Student Ambassadors program, Spring '23, engaging in outreach and community-building initiatives.- Promoted adoption of the Streamlit framework for data science and machine learning, leading to a 10% increase in its use within the university data science community.- Developed and deployed over 10+ data science and machine learning applications using Streamlit, accelerating project timelines by 50%.- Collaborated directly with the Streamlit development team, providing feedback that contributed to improvements in the framework.- ontributed extensively to the Streamlit community by answering over 200+ forum questions and providing support to 100+ users, fostering a collaborative environment. Show less

- Developed and deployed credit and automation solutions using Python, R, and PostgreSQL on AWS Cloud, enhancing process efficiency by 30%.- Engineered advanced credit analysis solutions with Python, TensorFlow, and Keras, ensuring compliance with credit risk regulations and reducing default rates by 15%.- Implemented interactive dashboards in Streamlit, Power BI, and Tableau, providing actionable insights and improving decision-making processes for BI and risk analysis, leading… Show more - Developed and deployed credit and automation solutions using Python, R, and PostgreSQL on AWS Cloud, enhancing process efficiency by 30%.- Engineered advanced credit analysis solutions with Python, TensorFlow, and Keras, ensuring compliance with credit risk regulations and reducing default rates by 15%.- Implemented interactive dashboards in Streamlit, Power BI, and Tableau, providing actionable insights and improving decision-making processes for BI and risk analysis, leading to a 20% increase in reporting accuracy. Show less