Aspiring and motivated computer science graduate currently pursuing a master's degree at the Illinois Institute of Technology, eager to apply theoretical knowledge and gain hands-on experience through an internship opportunity. Possessing a solid foundation in D365, Power Platform, .NET, and Azure, with a commitment to continuous learning and staying abreast of industry trends. Proven adaptability through 8 years of professional experience at esteemed software companies, including Cognizant, Robert Bosch, and EPAM Systems. A proactive and collaborative team player with strong communication skills, ready to contribute to innovative projects and make meaningful contributions to your organization during an internship.
• Requirements gathering, analyzing, and architecting the most efficient and cost-effective solution for Business Requirements.
• Leading a team of five members. Distribute work among teammates and support my team to ensure timely delivery. • Providing project estimations, code reviews, and support project members as a technology expert.
• Interview new candidates and share knowledge across different domains.
• D365, Power Platform and Azure developer
• Preparing working prototypes of the requirements for upcoming projects and demonstrating them to the Client.
• Research the feasibility of the requirements and suggest the most effective business solution.
• Guide a team with a possible workaround if stuck in any issue.
• Involved in various training sessions and interviewing new candidates.
• .NET, D365, and Power Platform developer. Worked for clients Telstra, MetLife, and Fluke Corporation One of the SMEs (Subject Matter Expert) of the project.
• Requirements capture, analysis, and providing technical solutions to the Client.
• Design the algorithm and develop the solution.
• Testing deliverables and deploying the developed changes to Production.
SENTIMENT ANALYSIS (COMPARATIVE OPINION MINING), It was a research-oriented project and the objective of the project was to identify comparative sentences from the text and find out the preferred item of the author. The project was implemented using the Supervised Learning Approach. Development was done on Python in ATOM IDE and Amazon reviews were used to train the algorithm. This implementation mostly focused on existing research and made use of techniques and concepts like Decision trees, Naive Bayes Classification, Support vector, Class Sequential Rule, etc. My efforts in the project were highly admired and secured the highest Grade., Python, Artificial Intelligence (Decision trees, Naive Bayes Classification, Support vector)