As a Software Engineer at Capgemini, I've spearheaded 5 cloud integration projects centered around SAP CPI/PIPO, demonstrating proficiency in leading-edge technologies and methodologies. Through collaborative efforts with cross-functional teams, I've contributed to the design, development, and implementation of solutions aimed at achieving seamless system integration and data exchange.
My commitment to excellence extends to the adoption of Agile methodologies and utilization of APIs, resulting in a remarkable 20% acceleration in project completion while maintaining uncompromised quality standards. With a solid foundation in Python, Java, and R, I possess a wealth of expertise in data analysis and modeling, augmented by practical experience in web development technologies like JavaScript, Java/J2EE, Angular JS, and Node JS.
In addition to my technical acumen, I hold a Master's degree in Computer Science from the esteemed New Jersey Institute of Technology. During my academic tenure, I delved into cloud computing platforms and acquired proficiency in data science tools and techniques, enriching my skill set and broadening my professional horizons.
My repertoire includes hands-on experience with testing tools such as TestNG, Selenium, and Jira, along with adept utilization of version control systems like GIT. Leveraging AWS Labs for cloud-based projects, I've honed my abilities in creating impactful visualizations using Jupyter Notebook and Tableau, further solidifying my passion for data science and machine learning.
Currently, I'm actively looking for Full-Time Roles in software engineering, data engineering, or related fields, driven by an unwavering dedication to leveraging my skills and expertise to contribute meaningfully to innovative projects and initiatives.