Detail-oriented MCA student with hands-on experience in data collection, cleaning, and analysis using Excel, SQL, and Python. Skilled in identifying trends, preparing reports, and creating basic visualizations to support…
Detail-oriented MCA student with hands-on experience in data collection, cleaning, and analysis using Excel, SQL, and Python. Skilled in identifying trends, preparing reports, and creating basic visualizations to support data-driven decision-making. Strong attention to detail, effective communication skills, and keen interest in applying analytics in the education domain.
Built and deployed a machine learning–driven NLP classifier to categorize Reddit posts into mental-health stress categories. Implemented text preprocessing, TF-IDF feature engineering, and supervisedclassification techniques to achieve 75% accuracy. Deployed via Flask for real-time predictions.Tech: Python, TF-IDF, n-grams, Bag-of-Words, XGBoost, scikit-learn, Flask, Render
Built a deep learning system to detect Indian Borage leaf diseases from images using transfer learning.Enabled early and accurate crop disease identification to reduce agricultural losses and improve yield.Tech: Python, TensorFlow, OpenCV, VGG16, ResNet50, EfficientNetB0
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