Shruti K. is a Master of Computer Applications candidate at Pimpri Chinchwad University with a background in computer science and applied machine learning. Specializing in the technology and financial services industries, Shruti has engineered robust end-to-end solutions using Python, XGBoost, and Flask. Notably, she delivered ChurnSense AI, a full-stack ML web application that predicts telecom customer churn, integrating REST API endpoints and a Bootstrap 5 user interface. In the financial domain, Shruti developed a credit card fraud detection system utilizing machine learning models such as Logistic Regression and Random Forest, further enhancing detection accuracy by reducing false positives. Her hands-on experience also includes building interactive UIs with Streamlit and deploying applications across cloud platforms. Shruti's technical foundation is supported by certifications in Python programming and machine learning.
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