Vineeth Duggina

Experienced analyst with a robust background in business and data analysis. Demonstrates meticulous attention to detail and a fervor for converting raw data into strategic insights. Dedicated to enabling informed decision-making and enhancing processes. Proficient in data manipulation, visualization, and statistical tools. Excels in collaborative settings, employing problem-solving skills to render complex data sets into actionable resolutions.

Kum & Go Project: Loyalty Program and Healthy Food Rebranding

• Conducted thorough market research on the Midwest convenience store and fast-food industry to understand customer preferences and trends.
• Created a detailed issue tree and refined project objectives to guide the development of a successful loyalty program for Kum & Go, focusing on promoting healthier food choices.
• Led efforts to expand marketing strategies, including online initiatives such as optimizing the company's online presence and collaborated on innovative healthy recipe development. Also, advocated for sustainable practices and analyzed customer preferences to diversify the menu with healthier choices and made strategic recommendations for loyalty program growth. Developed a rebranding strategy to position Kum & Go as a destination for healthier meals and introduced dedicated app sections.
  

Miami Housing Market Analysis

• Successfully analyzed the Miami Housing dataset, identifying key variables highly correlated with sales prices, offering valuable insights for industry professionals and investors.
• Developed effective visualizations showcasing housing market trends, including seasonal variations and price distributions. Built a precise linear regression model to predict sales prices, aiding property buyers and sellers in making informed decisions.
• Utilized decision tree algorithms for feature importance and conducted clustering analysis to reveal data patterns. Collaborated effectively with the team, contributing ideas to enhance project methodology. Offered actionable recommendations, including exploring alternative machine learning algorithms and additional variables for improved sales price predictions.

NASBA certification in Python

NASBA certification in Excel

Microsoft SQL Certification

PSM - 1