About

Dimple Zatkia is a skilled and enthusiastic Data Analyst, Data Engineer, and Software Engineer with over 4 years of relevant experience. She is currently a Graduate Student majoring in Information Systems at Northeastern University and will be graduating in December 2020. Dimple is actively looking for full-time opportunities as a Data Analyst or Software Engineer. Dimple's technical skills include programming languages such as Python and Java, and she has experience working with libraries and frameworks like OpenCV, Keras, TensorFlow, Pandas, and Numpy. She is also comfortable with MySQL and MongoDB and is enthusiastic about researching and learning more about Machine/Deep Learning algorithms. Currently working with Amazon as a Business Analyst, Dimple has previously worked with Ahold Delhaize and Infosys as a Software Engineer and Data Engineer. At Ahold Delhaize, she worked with the Emerging Technology Team and was involved in numerous projects such as license plate recognition, face recognition, and produce classification. Dimple was responsible for developing image recognition software along with databases, data pipelining, machine learning, and deep learning models. She also incorporated additional functionalities in the face recognition software to enter demographics details of a customer along with face recognition entering into the store into the cloud MongoDB using NodeJS. Dimple has also worked on Azure ML studio to deploy the Machine learning algorithms on cloud. Dimple has a Master of Science degree in Information Systems from Northeastern University and a Bachelor of Engineering degree in Electronics and Telecommunication from Dwarkadas J Sanghvi College of Engineering. She also holds a Diploma of Engineering in Industrial Engineering from Shri Bhagubhai Mafatlal Polytechnic and completed her Indian Standard 10 from P.J.P High School. Dimple's tech stack includes Software Engineering, Data Engineering, Deep Learning, ML, SQL, MongoDB, Keras, OpenCV, Research Scientist, TensorFlow, Pandas, MySQL, ETL, Python, Java, Azure, Data Warehouse, and Integration. She is a dedicated and hardworking professional with a passion for exploring new technologies and solving complex problems.