About

Shagun Sharma is a Business Technology Solutions Associate at ZS with a strong background in design and integration, coupled with intuitive problem-solving skills. She is proficient in Data Analytics, Deep Learning, and Machine Learning techniques, and is passionate about implementing and launching new projects in a technology-driven firm. Shagun has the ability to translate business requirements into technical solutions, making her a valuable asset to any team. Shagun has worked as a Developer at ZS, where she delivered optimally furnished Business Process Management product to the client, enabling a smooth submission experience and reviewing process of research proposals for the investigators and client respectively on the Appian platform. Prior to working at ZS, Shagun worked as an Artificial Intelligence Developer at Intel, where she acquired the skills of developing an Artificially Intelligent model using deep learning techniques and deploying the solution using Intel Open Vino kit from data center to the edge as a part of the course offered by Intel. She has also worked at ONGC as an IT Networking and Satellite Communication professional, where she learned the concepts of Networking in an organization along with the practical applications of networking depicting the potential faults and threats to be kept in mind while mapping a network. Shagun holds a Bachelor of Technology degree in Electronics and Communication Engineering from the National Institute of Technology, Uttarakhand. She has a TechStack that includes Deep Learning, ML, Research Scientist, and Integration. Shagun is always striving to learn more and has several projects and blogs listed in the Accomplishments section of her LinkedIn profile. Shagun is also active on Github, Medium, and Jovian. With a relevant experience of 1.86 years, Shagun has the skills and drive to excel in her field and make a positive impact on any team she works with.