About

Vikas Jain is a Manager for Data and Analytics, specializing in Machine Learning and Process Mining at PwC India. He is an enthusiastic data and AI professional with a passion for applying his skills and expanding his knowledge. Vikas is a highly skilled programmer with expertise in R, HTML5, JavaScript, CSS, Python, and SQL. He is also knowledgeable in various machine learning algorithms, such as PCA, Naïve Bayes, SVM, Decision Tree, Logistic & Linear Regression, Random Forest, k-NN, k-Means, and Hierarchical Clustering. Vikas has experience working as a Solution Technical Architect, where he has excelled in requirement gathering and solution analysis. He is also experienced in testing, functional test planning and preparation, and has extensive knowledge of various SDLC methodologies such as V-model, Waterfall, Agile-Kanban, and Scrum. Vikas has worked for top companies such as PwC and Accenture. In his previous role as a Senior Consultant for Data and Analytics at PwC, he managed end-to-end project workstreams, conducted R&D into new processes and ERPs with Process mining technology, built prototypes, and mentored teams to develop and mature the solution. At Accenture, he worked as an ML/AI engineer, where he was responsible for creating backend ML services, applying data science techniques to solve client business challenges, ideating the usage of AI and ML technologies for client situations, and upskilling. Vikas holds a Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering from Jaypee University. He also has a Science degree from A.S.V.J Sr. Sec. School, Daryaganj Delhi. Vikas is a highly skilled professional with relevant experience of 9.36 years in the field of ML, AI, SQL, SVM, NLP, Data Scientist, test, Python, Javascript, Senior Software Engineer, Azure, and Backend.