Kapil Dagade

Background

About Kapil Dagade

A highly motivated data analyst with over a year of hands-on experience, I specialize in utilizing advanced tools like SQL, Python, and Excel for data cleaning, manipulation, and analysis. With a strong foundation in statistical modeling and data visualization, I excel at transforming raw data into actionable insights. I have worked on diverse projects, such as predictive modeling to forecast inventory needs, where I minimized stockouts by 20%, and a housing market analysis in Birmingham, achieving 90%+ prediction accuracy on house prices. Additionally, I am proficient in creating detailed reports and interactive visualizations using tools like Power BI and pivot tables to support decision-making and drive strategic improvements. • In my current role at NEC Group as a Retail Sales Associate, I consistently surpass sales targets by 15%, streamlining processes and identifying trends to enhance departmental efficiency by 20%. • As a data analyst at AM Ecosystems, I forecasted inventory needs, improved stock availability, and collaborated with cross-functional teams to resolve data discrepancies, leading to improved system performance and decision-making efficiency. • My academic projects include time series analysis of airline passenger data, achieving 96% forecast accuracy, and my master’s thesis, where I conducted a Data Envelopment Analysis to evaluate the efficiency of IPL batsmen. Passionate about combining data-driven insights with business strategy, I am eager to leverage my skills in future data analyst roles. When I'm not analyzing data, I enjoy exploring the latest trends in the housing market and advancing my technical knowledge through certifications in Power BI and SQL.