Bennett University
Bachelor of Technology, Computer Science and Engineering
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I am currently pursuing a Bachelor’s degree in Computer Science with a strong interest in Artificial Intelligence, Machine Learning, and Language Technologies. Through my coursework and personal projects, I’ve developed hands-on experience working with datasets, data preprocessing, and model development workflows. I have built machine learning projects from scratch involving CSV data handling, cleaning, feature engineering, train-test splitting, model training, evaluation, and visualization using Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. I’ve also explored Natural Language Processing concepts such as tokenization, stemming, lemmatization, Bag of Words, and TF-IDF, which has helped me understand how high-quality labeled data directly impacts AI model performance. In addition to technical skills, I have strong attention to detail, pattern recognition, and the ability to follow annotation guidelines accurately—qualities that are essential in data labeling and AI training tasks. I am comfortable working with large datasets, identifying inconsistencies, and ensuring data quality. My background in Java, Python, machine learning, and deep learning concepts such as neural networks, CNNs, RNNs, and LSTMs gives me a strong foundation to contribute effectively to AI training data projects. I am a quick learner, adaptable to new tools and workflows, and motivated to contribute to building reliable AI systems through accurate data annotation and analysis.
Bachelor of Technology, Computer Science and Engineering