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Python Developer | Data Science Enthusiast | ML & AI | Data Analyst
MCA Graduate from Aurora Deemed to be University with a passion for building intelligent solutions using Python, Machine Learning, Deep Learning, and Data Science.
To become a successful professional in the field of software engineering and web development. To work in an environment where I can utilize my knowledge to enhance them. I'm passionate about learning new technologies and continuously developing my skills.
I enjoy working on practical projects that enhance user experience and improve efficiency. I have hands-on experience in Python, SQL, and Graphic Design, along with an interest in Data Science and Web Applications.
Machine learning model to classify fake and real job postings using NLP techniques.
CNN model to identify plant diseases from leaf images for agricultural productivity.
ML model to detect faults in semiconductor wafer data using multilayer perceptron.
Customer segmentation based on purchasing behavior using K-means clustering.
Interactive dashboard to analyze restaurant ratings, reviews, and sales trends.
Statistical analysis of student academic data to identify performance trends.
System to manage vehicle details, routes, and transportation records efficiently.
Machine learning-powered healthcare system for disease prediction, patient diagnosis support, and medical data analysis.
Analyze and visualize WhatsApp chat data to extract insights, patterns, and statistics from conversations.
Research paper on using AI and computer vision to detect plastic waste in water bodies using aerial and underwater imaging technology.
Research paper on detecting fraudulent job postings using machine learning and natural language processing techniques.
I'm always open to exciting opportunities and collaborations!