• Raised threshold rating from 4.5 to 4.65 for providers falling in retraining bucket; enhanced the net promoting score of providers by 6%• Developed different data-driven strategies using key levers like retention rate of the new users & lead acceptance rate of service providers• Increased selection to approval ratio of service providers by 5%, formulated plan of action for onboarding process based on extracted data• Created smart, compelling dashboards for 70+ people to track vital daily business metrics like request loss, gross/net requests using SQL• Extracted and analyzed large data sets of 100k+ data points; automated & expedited process of data extraction helping 6 different teams

• Achieved 5% increment in sales of the platform; gave presentations & demonstrations to prospect customers by identifying their needs• Increased the reach of platform by 15% through strategizing social media marketing; created 20+ demonstration apps on the platform• Enhanced lead generation by 10% with customer segmentation; analyzed & examined market for the platform to reach target audience• Single-handedly set up customer support team, working on the problems/issues faced by the users of platform; solving 10+ issues/day

• Analysed data consumption of more than 78k network towers and their respective user statistics to predict the congestion in the network• Performed Exploratory Data Analysis on different Data Usage Feature at different parts of the day for further feature engineering• Applied Maximum Vote Classifier on SVM-rbf kernel, XGboost and LightGBM to create a robust model to predict Network Congestion• Performed k-fold Cross-Validation with 5 folds to check the robustness and performance of the model which gave the accuracy of 80.46%