Smit Makodia

Systematized clear, actionable data visualization solutions in Excel functions and conditional formatting, streamlining data-driven decision-making for managers that facilitated cost estimations, conversion funnel and analysis. Monitored, analyzed, and executed data-driven Meta Ads campaigns, to refine targeting and creative strategies, resulting in a 15% decrease in Cost Per Acquisition (CPA) and a 10% improvement in lead quality. Collaborated with 2 stakeholders and 1 senior manager to define and validate outputs, improving report reliability and 100% strategic alignment.

Constructed a web application ("Master’s Decision Support System") incorporating a Random Forest Classifier to predict higher education suitability based on user metrics like GATE scores and salary with 77.25% accuracy. Implemented a Random Forest Regressor model to analyze vehicle datasets, utilizing Label Encoding and feature engineering to accurately predict fuel consumption and emissions with 91.1% R-Squared accuracy.