Dedicated Data Analyst with 2.5 years of experience in extracting, transforming, and analyzing data to drive strategic decision-making. Proficient in Python, SQL, Excel, and Power BI, with a proven track record of delivering actionable insights and implementing data-driven solutions. Skilled in data visualization, statistical analysis, and predictive modeling. Currently pursuing a Master's in Management Information Systems to further enhance expertise in data management and analytics.
ROCK IDENTIFICATION USING DEEP CONVOLUTION NEURAL NETWORKS & IBM WASTON BASED ON AI-ML, Developed web application using AI/ML to classify rock types with 96% accuracy. The model takes the input from the user and compares it with the pre trained model and the rock type classified with its chemical composition. Built CNN model to analyze and detect the type of rock based on user-provided input images with the applications of machine learning, deep learning models. Expertise in Python, AI-ML, data preprocessing, CNN models, and image processing. We got approximately 96% accuracy to identify the type of the rock and its chemical composition using all the image processing techniques. Recognized with IBM certification for innovative project showcasing teamwork. DROWSY DRIVER DETECTION SYSTEM USING AI/ML AND IOT, Developed a real-time Drowsy Driver Detection System integrating AI/ML algorithms with electronic sensors. Utilized computer vision and signal processing techniques to analyze driver behavior and physiological signals for signs of drowsiness or distraction. Implemented IoT connectivity for seamless integration with vehicle systems, providing timely alerts to mitigate drowsy driving accidents.