KUMAR RAPATI

Accomplished Java developer with 5 years of experience in software development and cloud computing solutions. Specializes in creating scalable and efficient applications for banking and cloud platforms using Java and Spring frameworks. Expertise lies in integrating advanced Java features and cloud technologies to optimize performance and enhance user experiences. Proactively identifies system vulnerabilities and implements robust security measures. Excels at leading development teams and projects to improve operational efficiencies and technology integration in fast-paced environments.

• Data Visualization and Storytelling Basics, https://badgr.com/backpack/badges/65dca41c6a225059c943368c
• Introduction to Analytics, https://badgr.com/public/assertions/JcsPPSVMS36b15FZNsrfkQ

• Dynamics of Airbnb Pricing and Popularity in Austin, TX, Data Analyst, Tableau, Data Analysis, Developed a comprehensive Tableau dashboard to analyze Airbnb market trends in Austin, TX, focusing on pricing dynamics, property types, and seasonal trends. Utilized visualization techniques to represent complex data, enabling hosts and customers to make informed decisions based on trends such as price fluctuations and popularity.
• Exploratory Analysis of Retail Food Stores, Data Scientist, Python, Pandas, NumPy, Matplotlib, Conducted a detailed analysis of over 24,000 retail stores, focusing on establishment types, profitability, and county-level market dynamics. Applied machine learning techniques, including linear regression and random forest models, to predict store sizes and profitability, achieving significant predictive accuracy.
• Airbnb Price Determinants and Optimization, Research Analyst, R, ggplot2, Linear Regression Modeling, Analyzed factors influencing Airbnb listing prices using an updated dataset; focused on service fees, room types, and geographic proximity. Employed advanced data visualization and linear regression to uncover significant predictors of price, providing actionable insights for optimizing listing strategies.
• Predictive Analytics & Web Application Integration for CofiLife, Research Analyst, Predictive Analytics, Machine Learning, CRM Integration, Web Application Development, Designed and developed a dynamic web application to enhance customer engagement through personalized marketing strategies. Integrated predictive analytics to forecast customer behaviors, improving targeted marketing efforts and increasing sales. Implemented real-time hashtag integration and interactive marketing features, leveraging data from CRM and web interactions.

• Dynamics of Airbnb Pricing and Popularity in Austin, TX, Data Analyst, Tableau, Data Analysis, Developed a comprehensive Tableau dashboard to analyze Airbnb market trends in Austin, TX, focusing on pricing dynamics, property types, and seasonal trends. Utilized visualization techniques to represent complex data, enabling hosts and customers to make informed decisions based on trends such as price fluctuations and popularity.
• Exploratory Analysis of Retail Food Stores, Data Scientist, Python, Pandas, NumPy, Matplotlib, Conducted a detailed analysis of over 24,000 retail stores, focusing on establishment types, profitability, and county-level market dynamics. Applied machine learning techniques, including linear regression and random forest models, to predict store sizes and profitability, achieving significant predictive accuracy.
• Airbnb Price Determinants and Optimization, Research Analyst, R, ggplot2, Linear Regression Modeling, Analyzed factors influencing Airbnb listing prices using an updated dataset; focused on service fees, room types, and geographic proximity. Employed advanced data visualization and linear regression to uncover significant predictors of price, providing actionable insights for optimizing listing strategies.
• Predictive Analytics & Web Application Integration for CofiLife, Research Analyst, Predictive Analytics, Machine Learning, CRM Integration, Web Application Development, Designed and developed a dynamic web application to enhance customer engagement through personalized marketing strategies. Integrated predictive analytics to forecast customer behaviors, improving targeted marketing efforts and increasing sales. Implemented real-time hashtag integration and interactive marketing features, leveraging data from CRM and web interactions.