

Highly analytical and sharp-minded individual with strong problem-solving abilities and a constant drive to learn and innovate. Demonstrates exceptional adaptability in mastering new technologies and applying them to real-world challenges. Passionate about continuous growth, efficiency, and delivering impactful solutions through logical thinking and a deep curiosity for knowledge.
Executed data preprocessing, feature engineering, model tuning, and evaluation using Python, Scikit-learn, and Pandas during IBM internship.
Facilitated community development initiatives by supporting awareness programs, outreach activities, and social welfare projects, gaining exposure to grassroots social work and organizational impact.
Smart Evaluate: AI-powered evaluation system for automating grading and feedback in academic assessments., APIs Used: OpenAI/NLP APIs for automated text evaluation., Tech Info: Python, Scikit-learn, Flask, React., Impact: Reduced evaluation time by 60%, ensured fair assessment, and improved teacher productivity.
Early Diabetes Detection: A healthcare project that predicts diabetes risk using patient health data., APIs Used: Machine Learning APIs (Scikit-learn, TensorFlow)., Tech Info: Python, Pandas, NumPy, Matplotlib., Impact: Improved patient outcomes through early risk detection and preventive insights.
Intelli Road (Ongoing): Smart road monitoring system for detecting potholes, rash driving, and overtaking using IoT & AI., APIs Used: YOLO/Deep Learning models, Google Maps API., Tech Info: Python, OpenCV, TensorFlow, Raspberry Pi., Impact: Improved road safety, supported smart city initiatives, and reduced accident risks.