Sai Charan Attili

Accomplished Data Analyst skilled in transforming complex datasets into actionable insights that enhance decision-making processes. Expertise in SQL, Python, and advanced Excel functions enables the analysis of trends and development of detailed reports. Proven track record of improving business operations through technology solutions, with a focus on delivering impactful data visualizations that inform strategic initiatives. Recognized for fostering collaborative team environments to drive efficiency and productivity enhancements.

Optimizing Urban Mobility in San Francisco, Capstone Project

• Applied Azure for efficient data management, Power BI for visual insights, and Python for geospatial analysis to enhance city bike-sharing.
• Identified trends like increased bike usage with more lanes and a preference for electric bikes, crucial for city planning.
• Proposed future enhancements with real-time data integration and anomaly detection for further system optimization, ensuring reliability and efficiency.

Data Driven Real Estate Market Analysis of the Bay Area

• Collected real estate market data, including prices, property types, property status, and year details for the San Francisco Bay Area.
• Utilized the BeautifulSoup package for web scraping the data and performed the data engineering process.
• Conducted feature selection to identify key features from the data and implemented a regression model.
• Achieved an R² score of 0.45 and an accuracy of 85%.

Loan Prediction using Data Mining Techniques

• Collected a dataset from Kaggle and performed data pre-processing.
• Analyzed the data visually using Python libraries to uncover hidden patterns and extract meaningful insights.
• Built and developed KNN, Decision Tree Classifier, Random Forest Classifier, and Logistic Regression models, and compared their performance.
• Observed that Logistic Regression and Decision Tree models achieved an accuracy of 86%.