About

Anuja Shukla is a highly skilled data scientist with a passion for machine learning and software development. With over 3 years of experience in the field, Anuja has honed her skills in data science, research, and software engineering. She currently works as a Senior Data Scientist at RBC, where she uses her expertise to analyze data and develop machine learning models that can help the organization make informed decisions. Anuja's previous experience includes working as a Machine Learning Engineer and Data Engineer at Wavo.me. During her tenure, she developed machine learning models that helped the company improve its recommendation engine and increase user engagement. She also worked on data engineering projects that involved data processing and data warehousing. Anuja holds a Master of Management Analytics degree from the University of Toronto - Rotman School of Management, which she completed in December 2020. She also has a Bachelor of Engineering degree in Information Technology from L.D College of Engineering, which she completed in 2017. Anuja's technical skills include data science, research science, machine learning, software engineering, and data engineering. She is proficient in programming languages such as Python, R, and Java, and has experience working with tools such as TensorFlow, Keras, and PyTorch. Anuja is a driven and dedicated individual who is always looking for ways to improve her skills and knowledge in the field. She is a team player who enjoys collaborating with others to achieve common goals. With her expertise in data science and machine learning, Anuja is an asset to any organization that values innovation and data-driven decision-making.