RANJITH V

Conducted comprehensive competitor strategy research, including profiling customer bases; Analyzed customer loyalty metrics and produced reports on the company's product usage, contributing to the development of effective campaigns. Prepared detailed campaign performance reports to identify the most successful lead generation channels, such as paid campaigns on Google and social media, as well as webinars and offline events. Researched marketing strategies for lead generation, with a focus on event marketing; Developed a method to extract data from event participants and speakers for targeted outreach through email marketing and other channels. Implemented ICP (Ideal Customer Profile) level reports and streamlined 40% of workflow in the CRM tool HubSpot to assist the sales team in prioritizing leads effectively.

Led the implementation of an A/B split for the "Service Campaign," addressing daily throughput challenges. Collaborated with teammates to develop the "Insights Overview" dashboard, utilizing Mode Analytics, offering a granular view of each variant's performance. Managed end-to-end operations for SMS campaigns, overseeing dashboards, throughput planning, and in-depth analysis. Enhanced campaign performance by 80% through A/B split testing and thorough performance evaluations. Strategized and executed email marketing Services campaigns, ensuring seamless operations and efficient throughput plans. Built a dashboard for SMS campaigns, enabling detailed analysis and insights into campaign and template performance.

Led a project analyzing unstructured data to improve data integrity and control in data operations. Analyzed and resolved data inconsistencies, collaborating with Operations Managers to optimize operational metrics by 70%. Addressed lead data gaps within the CRM tool, significantly enhancing overall data quality and operational efficiency.

Researched the flow of tobacco from CTS to machine and made with Maintenance expose. Collected and analyzed technical data on cigarette production cycles, focusing on output per cycle, downtime intervals, and average maintenance times. Investigated crucial parameters such as cigarette thickness, contributing to quality control and process optimization. Analyzed raw data to overview the machine's performance and for replacement using google sheet.

Relevant Coursework: Data Analytics, Operations Research and Management.