Highly motivated and detail-oriented graduate student pursuing a Master of Science in Informatics and Analytics with a solid foundation in Information Technology. Proven track record in data analysis, market research, and project management. Adept at utilizing data-driven insights to enhance business strategies and improve operational efficiency. Strong technical skills in programming languages, data visualization tools, and machine learning algorithms. Committed to continuous learning and contributing to innovative solutions in the field of data analytics.
Volunteered in the “DrishtiKon” a test organized for Differently Abled Students by Bhagwan Mahavir University 2020 & 2021,
Volunteered in the “Rang Badlav Ke - Paint the Change!” Event by Kailash Satyarthi Children’s Foundation 2018,
Member of Organizing Committee for 8 weeks of the Surat event of Moral Foundation (NGO) 2022
Jewelry E-commerce Sales Analytics, Bachelor's Degree Project, 01/2023, 04/2023,
Analyzed sales data for a jewelry e-commerce website to identify trends, customer preferences, and sales performance. Used data visualization tools and statistical methods to highlight high-performing products and seasonal patterns. Developed a real-time sales dashboard, leading to improved product stocking and promotional strategies, resulting in a 20% increase in sales and enhanced customer retention.
Predictive Churn Model, Beacon Data, Greensboro, NC, 03/2024, 05/2024,
Developed a predictive model to identify customers likely to churn by analyzing behavior, demographics, and transaction histories. Applied logistic regression and random forests, achieving 77% accuracy. The insights enabled targeted retention strategies, reducing the churn rate by 20% and saving approximately $500,000 annually.