Talented management consultant experienced in all areas of operations and specializing Marketing. Practiced negotiator and skilled communicator with excellent relationship-building abilities. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
• Plan and execute micro marketing events for brand penetration in assigned channels and corporates.
• Develop a cost-effective vendor network for event quality.
• Design contests for channel-specific product penetration and income targets.
• Identify business opportunities through various channels.
• Lead digital campaigns for the bank's offerings and cross-selling opportunities.
• Efficiently coordinate cost-effective marketing events for successful lead generation.
• Enhance brand visibility, engage customers, and support branch launches.
• Conduct employee engagement activities for personal development.
• Collaborate with the Central Marketing team for nationwide campaigns. • Design dashboards and provide data analysis for regional management, showcasing marketing success.
Objective & approach : The project involves segmenting digital marketing advertisement data using clustering techniques and identifying the optimum principal components to explain the most variance in the Primary Census data.
Objective & approach : This project has two parts a) Computer-activ Project using Linear Regression which aims to predict the percentage time the computer remains in user mode. b) Women's contraceptive Project using Classification techniques to classify how many women use or not use contraceptive
Objective & approach : This project uses the "orders" database of an online retail store, where we analyze queries using SQL to make data-driven decisions for the store's growth.
Objective & approach : This project helped me explore the art of problem-solving with the aid of visual analytics. Tableau’s data visualization tools were used to create interactive dashboards to provide high-level insights to the CEO of an Insurance company to drive the company's policymaking
Objective: Develop a model to predict the probability of default for credit card customers, helping the company assess risk and make informed credit decisions.
Approach : Developed and compared multiple AI models, selecting the best based on recall to accurately identify defaulters. This approach provided meaningful business insights for informed decision-making.