I was a marketing Data Science intern at ITC-infotech, where I collected, cleaned, and analyzed marketing data from various sources. I built and maintained multiplicative market mix models using Python and Sklearn to quantify the effects of different marketing channels and campaigns on sales. I also performed regression analysis using Python and Stan to estimate the optimal coefficients and adstock rates for the marketing mix models. I visualized and communicated the results of the analysis using Python and matplotlib or seaborn libraries. I generated insights and recommendations for improving marketing effectiveness and ROI. I collaborated with other analysts, marketers, and stakeholders to support data-driven decision making.