Sathvika Ghanta

Master's

Health Information Technology

Ayattih Tech

Data Analyst Intern

- Executed comprehensive data analysis utilizing SQL to extract and transform raw data into actionable insights, bolstering strategic decision-Making process - Identified trends and furnished valuable insights through thorough analysis of new data, facilitating data-driven decision-making - Developed interactive dashboards using Excel and enhanced data visualization with machine learning libraries such as Matplotlib, Seaborn, and Plotly - Express, ensuring clear and intuitive representation of data - Engineered Excel-based applications and streamlined processes through efficient VBA macros, driving automation and productivity - Collaborated within teams, communicating insights and priorities to meet stringent deadlines while maintaining organizational coherence - Projects - Loan-Approval Prediction - Developed a machine learning model to predict loan approval status - Conducted comprehensive data cleaning and transformation, followed by univariate and bivariate analysis - Implemented advanced techniques to enhance predictive power - Utilized decision trees, SVM, and neural networks for model training - Achieved high accuracy, precision, recall, F1 score, and AUC-ROC, demonstrating the model's robustness and reliability - Tumor Detection - Achieved a remarkable 97% accuracy rate in classifying x-ray images by leveraging Convolutional Neural Networks (CNNs) and Advanced image segmentation techniques - Employed sophisticated image preprocessing methods to enhance image quality and ensure optimal input for the Model - Applied rigorous feature selection techniques to improve model performance - Utilized cutting-edge optimizers and meticulously tuned hyperparameters to achieve peak performance - Achieved a notable 15% accuracy improvement and a commendable 25% reduction in false positives by rigorously evaluating - And selecting optimal pre-processing and feature selection techniques