About

Suhel Kazi is a skilled Fullstack Developer at InCred Money with over 3 years of relevant experience. He has an impressive technical skill set that includes JavaScript, NodeJs, React, ExpressJs, MongoDB, HTML, CSS, Shell script, and more. He is also proficient in data collection and web scraping using SQL, API, Beautifulsoup, and Selenium. Suhel is well-versed in data cleaning techniques using pandas and numpy, and is experienced in data visualization using Matplotlib, Seaborn, and Tableau. Suhel's expertise extends to machine learning algorithms such as linear regression, logistic regression, decision tree, random forest, Naive Bayes, KNN, SVM, PCA, NLP, and Kmeans. He has worked with deep learning techniques such as neural networks, CNN, RNN, and LSTM, and is proficient in using tools like TensorFlow, Keras, Scikit-learn, and OpenCV. In addition to his technical skills, Suhel has a strong foundation in computer science concepts such as database, data structure, computer networking, operating system, computer algorithm, computer organization, theory of computation, and compiler design. Prior to his current role, Suhel has worked as a Data Science and Machine Learning Teaching Assistant at Coding Ninjas and as a Machine Learning Research Intern at Pianalytix. He holds a Bachelor of Technology degree in Information Technology from Walchand College of Engineering, Sangli, and has also completed Higher Studies in Science from Shri Sant Damaji Mahavidyalaya and schooling from English School, Mangalwedha. Suhel's tech stack includes Software Engineer, ML, SQL, Naive Bayes, SVM, Random Forest, Keras, Seaborn, CNN, RNN, OpenCV, Deep Learning, NLP, Selenium, Javascript, TensorFlow, Pandas, Neural Networks, MongoDB, Web, Data Scientist, NodeJS, Python, Java, and Research Scientist. With his diverse skill set and experience, Suhel is a valuable asset to any team he works with.