MADHUKAR Goud Kasani

Dynamic software intern at RCI with expertise in C++, SQL, and cloud computing. Proven ability to enhance defense system modules and optimize software performance. Strong project management skills complemented by a solid foundation in data analysis. Collaborated effectively with senior engineers to deliver impactful solutions in a fast-paced environment.

Webster University | Oct 2023 – Dec 2023
Tools & Technologies: Python, Pandas, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook, Regression Modeling

• Conducted exploratory data analysis using the Kaggle "vgsales" dataset to identify sales trends by platform, genre, publisher, and region.
• Created data visualizations (bar plots, line graphs, scatter plots) to examine sales distribution, game genre popularity, and regional performance.
• Developed a multiple linear regression model to predict Global_Sales using regional sales variables; achieved adjusted R² of 0.999, demonstrating excellent predictive power.
• Performed regression diagnostics including residual plots, Q-Q plots, scale-location checks, and Cook’s distance to validate model assumptions.
• Found strong positive correlations (r > 0.7) between North America and global sales, emphasizing regional influence on overall performance.
• Delivered strategic insights to help stakeholders understand market trends, optimize release strategies, and improve regional targeting.