About

Amber Pande is a skilled Data Engineer at Accenture with a passion for solving business problems using data. With 2.19 years of experience in the field, Amber has a strong background in Python, Django, SQL, Pandas, Numpy, Data Science, Algorithms, Object-Oriented Programming (OOP), Machine Learning, Convolutional Neural Networks (CNN), and other relevant technologies. Currently working as an Application Development Associate at Accenture, Amber has developed a pizza ordering web application and implemented user authentication, authorization using JWT, and responsive design using Bootstrap. She has also used NodeJS, ExpressJS, and MongoDB to design the REST APIs for the CRUD operations and Mongoose ORM for schema creation. Her relevant experience also includes working as a Data Science Intern at Netlink Software Group America Inc, where she created a face recognition-based employee attendance system and built an automatic number plate recognition system. Amber holds a Bachelor of Technology in Computer Science from Patel College of Science and Technology, Bhopal, and has completed a NodeJS Developer course from Zero to Mastery Academy. She also has a strong educational background in Information Practices. With a strong tech stack that includes Data Engineering, SQL, MongoDB, Data Scientist, OpenCV, Web, CNN, SVM, NodeJS, Python, Django, ML, Pandas, Neural Networks, Redux, Software Engineer, Scikit, and Azure, Amber is well-equipped to handle complex data problems. She is a highly motivated and detail-oriented individual who thrives in a fast-paced environment and enjoys working collaboratively with cross-functional teams.