I am a data-focused professional with a background in Petroleum Engineering, transitioning into Data Analytics and Data Science. My engineering background has equipped me with strong analytical thinking and structured problem-solving skills, which I now apply to data-driven projects.

Currently, I have hands-on experience with:

• Tools: Python, Pandas, SQL
• Processes: Data preprocessing, cleaning raw datasets, transforming Excel data into structured formats, and basic ETL operations.

I am highly motivated to contribute to impact-driven projects on 'Solve for Good'. My goal is to apply my technical skills to support decision-making and create positive social change. I am particularly interested in projects involving data cleaning, transformation, and exploratory data analysis (EDA).

Through volunteering, I aim to collaborate with like-minded professionals, deliver meaningful results, and continuously grow my technical stack (currently exploring data engineering concepts). I am adaptable, detail-oriented, and ready to bring value to your team.