As a Data Analyst, I extract, process, and interpret data using tools like Python and SQL across diverse data sources, which enables me to contribute meaningfully to major projects, including those for governmental clients and clinical data analysis, by supporting informed decision-making.Develop and present Key Performance Indicators (KPIs) and Objective and Key Results (OKRs), delivering reports and visualizations that are accessible and comprehensible to a variety of audiences, including Commercial and Project Management teams.By leveraging tools like PowerBI and Apache Superset, I effectively implement performance measurement systems. Additionally, I automate and optimize workflows through custom Python solutions, achieving significant operational improvements, such as saving up to four hours of daily work for colleagues across departments.I often communicate data insights through tailored reports and presentations, ensuring that visualizations and narratives align with stakeholders' needs and project objectives, enhancing both clarity and impact.

As a Data Science Intern, I focused on fixing operational problems related to server and database flow, ensuring the health and stability of operations such as ETLs and Data Visualization programs.I worked on improving and troubleshooting SQL queries and Python scripts across multiple projects, with a focus on computational efficiency.By optimizing workflows and enhancing data processing, I contributed to more efficient operations and smoother execution of data tasks, supporting the overall performance of the team.

Delivered educational experiences to over 600 visitors daily, collaborating with a team to manage logistics and ensure smooth operations.Simplified complex scientific and technical concepts into engaging and accessible language, improving interaction with visitors of all ages, from preschool children to senior citizens.Additionally, I successfully resolved conflicts and adapted to challenging situations, creating a welcoming and positive environment for everyone.