About

Amarsingh Patil is an experienced data scientist and research scientist with over 8 years of experience in the field. Currently working as an assistant professor at PVPIT Budhgaon, he has developed a strong foundation in Python, SQL, sentiment analysis, SVM, random forest, deep learning, NLP, Scikit, and other relevant technologies. He has a proven track record of delivering high-quality results through his expertise in data science and machine learning. His experience includes working on complex projects involving data analysis, modeling, and visualization. He is well-versed in various machine learning algorithms such as Naive Bayes, CNN, RNN, and tokenization, and has a strong understanding of data preprocessing techniques like stemming. Amarsingh has also worked with popular data science tools like TensorFlow, ML, Pandas, and Jupyter, and has applied his knowledge to develop innovative solutions that have helped businesses make data-driven decisions. As a research scientist, Amarsingh has published several research papers in prestigious journals and conferences, showcasing his expertise in the field. He has a passion for exploring new technologies and is always keen to learn and apply new techniques to solve complex data science problems. Overall, Amarsingh Patil is a highly skilled data scientist and research scientist with a wealth of experience in the field. His expertise in Python, SQL, sentiment analysis, SVM, random forest, deep learning, NLP, Scikit, and other relevant technologies, combined with his strong analytical and problem-solving skills, make him a valuable asset to any organization.