Pankaj Goplani

Acquired hands-on expertise with SAP systems, Azure services encompassing virtual machines, networking, and Kubernetes, amplifying cloud infrastructure proficiency. Developed adept customer handling skills essential for a Technical Support Engineer, aligning seamlessly with Microsoft CSS standards. Engineered a cutting-edge deep learning model to facilitate real-time sign language translation within Microsoft Teams, significantly enhancing accessibility for a vast user base.

Collaborated with cross-functional teams to assist in identifying and defining data science projects, and contribute to the design and development of machine learning solutions. Supported the development and implementation of machine learning models and algorithms using programming languages such as Python, along with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, sci-kit learn). Joined with the Data Research Engineering Team to support the design and implementation of data pipelines and infrastructure for model training and deployment. Performed various data visualization techniques to assist in creating visualizations and insights from machine learning models and results.

Pioneered the development of a comprehensive full-stack web application, rooted in user requirements identified through extensive research. Integrated sophisticated machine learning algorithms, employing advanced programming languages such as Python and algorithms like XgBoost. Crafted an intuitive and user-friendly interface, adhering to industry best practices in UI/UX design. Engineered a resilient and scalable backend architecture, optimized for performance using JDBC.

Relevant coursework included Data Structures, Software Methodology, Machine Learning, Database Management, Azure Cloud Services, and Algorithm Analysis.