Sadiya K S

I am a chemical engineer with hands-on experience in data analysis and practical laboratory research. I blend domain knowledge in chemical engineering with data skills to extract insights that support business decision-making.

At Mu Sigma I worked as a Trainee Decision Scientist where I performed exploratory data analysis, created a PDNA to identify customer-churn drivers, and built interactive Power BI dashboards to recommend retention solutions. I used Python and visualization to translate data into actionable recommendations.

My academic projects focused on biochar production and battery materials, including evaluating pretreatment and copyrolysis effects, testing biochar as a lithium-ion battery anode, and synthesizing and characterizing spinel cathodes with doping strategies to mitigate capacity fade.

I am collaborative, focused on problem solving, and committed to continuous learning; I bring presentation, communication, and teamwork skills alongside technical proficiency in analysis and laboratory methods.