As a Data Scientist at Lean Automation, I have been instrumental in building robust machine learning models for industrial-level prediction and forecasting. My work primarily revolves around leveraging data science methodologies to drive efficiency and accuracy in our predictions. A significant part of my role also involves working with SEEQ, an advanced industrial software, which has further honed my skills in handling industry-specific challenges. My experience at Lean Automation has provided me with a unique blend of machine learning expertise and industry knowledge, enabling me to deliver solutions that are both technologically advanced and industry relevant.

Engineered innovative software solutions at Lean Automation, driving efficiency and scalability across diverse projects.

Led website management for Bluebird App at Lean Automation, optimizing user experience and enhancing database functionality.

I provide invaluable support in streamlining processes, managing tasks, and enhancing overall productivity. Leveraging my expertise in communication, organization, and problem-solving.

Steered media strategies as Media Head at the Institution of Engineering and Technology (IET), amplifying brand presence and fostering engagement through innovative content and impactful campaigns.

Empowered Google Developer Student Club as Lead Data Analyst, leveraging data-driven insights to enhance community engagement and drive impactful initiatives.