About

Pooja Chordiya is a highly motivated and positive individual with a strong work ethic and a passion for learning and experimenting with new technologies. With a Master's degree in Data Science from University College Dublin, she has gained extensive experience in various areas of data analysis and visualization. Pooja currently works as a Data Analyst at Krisolis, where she has been involved in a range of projects, including Deep Neural Networks, OpenCV, Machine Learning models, and Data Synthesis. Prior to her current role, Pooja worked for a multinational bank as an RPA (Robotic Process Automation) developer, where she was responsible for designing and developing end-to-end processes using Blueprism. Her work was recognized for proposing new ideas to re-design and implement existing banking processes to improve efficiency and for in-depth analysis of existing processes. Pooja was also awarded the "Client and Customer Award for Automation" for her outstanding contributions to the company. Pooja's educational background includes a Bachelor's degree in Information Technology from Maharashtra Institute of Technology and a Master's degree in Data Science from University College Dublin. Her technical skills include ML, Python, OpenCV, Data Scientist, Computer Vision, Neural Networks, Object detection, AI, Object Detection, Image Processing, SQL, MongoDB, Sentiment Analysis, test, Javascript, Hadoop, and Web. Pooja is a strong team player who values communication, collaboration, and commitment in achieving common goals. With 4.53 years of relevant experience, she is a highly skilled and dedicated professional who is always eager to learn and grow in her career.