About

Vipul Sharma is a skilled Software Engineer with a passion for deriving impactful insights from data and driving decisions using it. He has recently completed his Bachelor's in Computer Science and Engineering from NIT Bhopal and has worked on several projects related to data analytics, ML/AI, and deep learning. Vipul is a quick learner and is always eager to learn how complex systems work. Currently, Vipul is working as a Machine Learning Mentor for GirlScript's Covid Coding Program. In this role, he is responsible for teaching Machine Learning to students using sklearn in Python. He covers both the theoretical aspects of various supervised models along with giving a practical demo using sklearn, pandas, numpy, and matplotlib in Python. Vipul has previously worked as a Software Engineer Intern at JP Morgan, where he worked on an Android App for a Non-Profit as part of the Interns for Social Good program. The App provided a virtual platform for underprivileged students to study. He has also worked as a Data Analytics/Software Engineer at JP Morgan, where he was a KDB/Q and Python developer in the Cash Equities Data & Analytics team. In this role, he used his skills in KDB/Q (Time-series analytics, Big Data), Python, MySQL, MariaDB, Cloud Foundry, and Linux Scripting. Vipul's education background includes a Bachelor of Technology in Computer Science and Engineering from Maulana Azad National Institute of Technology (MANIT) and Higher Secondary School from Delhi Public School, Indore. Vipul has a diverse skill set that includes Software Engineering, Python, ML, Deep Learning, Scikit, AI, Research Scientist, Tensorflow, NLP, MySQL, Big Data, Pandas, AWS, Keras, Neural Networks, CNN, NLU, Random Forest, Jenkins, and Pytorch. With 2.20 years of relevant experience, Vipul is a valuable addition to any team looking for a skilled Software Engineer with a strong background in data analytics and ML/AI.