syed mohammad Akbar

I am an Associate Data Scientist with over 3 years of experience in machine learning, natural language processing, and predictive analytics. My journey has been marked by delivering over 8 end-to-end machine learning solutions in production, including a highly accurate predictive maintenance model that achieved 99.97% accuracy. I take pride in mentoring junior data scientists and collaborating closely with engineering and product teams to drive data-driven outcomes.

At Lyceum Infotech, I built and deployed churn prediction models that significantly improved retention strategies, achieving a precision of 94% in identifying at-risk customers. My analytical skills have enabled me to extract actionable insights from complex datasets, leading to a 12% improvement in feature adoption. I am passionate about leveraging data to solve real-world problems and continuously seek opportunities to enhance my skills and contribute to impactful projects.