Implemented Artificial Intelligence(AI)-driven solutions utilizing Microsoft Azure & Databricks, which improved decision making speed by 50% and hence positively impacting client project outcomes and satisfaction.● Determined optimal number of sales visits for client stores. It involved computer science techniques like data mining, creation of store 360 model, clustering, regression, and optimization techniques. ● Created a comprehensive database tracking salesperson activity, including date, time, duration, and visit sequences. It required algorithms to tackle route optimization, similar to the Traveling Salesman Problem, identifying the most efficient paths. ● Designed a NPS Predictor based on customer chat data. Performed data visualization, feature engineering, text analytics, sentiment analysis, predictive modeling, model evaluation, error analysis, & model tuning. ● Developed a website traffic forecaster based on the time series model SARIMA using Google Analytics, revenue, and campaign spend data. Collaborated with cross-functional teams and helped reduce unnecessary ad spends by 15%.● Generated new potential leads for a CPG client by using statistical concepts like Jaccard Similarity on Google Data and internal store data of the client.