About

Namita Shah is a highly skilled Data Engineer with a passion for Big Data and Data Science. She holds a Master's degree in Computer Science in Big Data from Simon Fraser University, which she completed in December 2018. Currently, she is working as a Data Engineer at Finn AI, where she has been able to utilize her expertise in Data Engineering, AI, and Big Data to make significant contributions to the company's success. Namita's previous experience includes working as a Data Scientist - Intern at Finn AI, where she improved the chatbot's logic using NLP and Deep Learning. She also built an NER (Named-entity Recognition) model to extract useful information based on user queries in the chatbot. Namita also worked on an experimental pipeline to evaluate the model using different data sampling methods. Prior to this, she worked as a Software Developer at Mortgage Alliance, where she developed and maintained features for MortgageBOSS™ software. Namita's educational background includes a Master's degree in Big Data from Simon Fraser University, a Post Graduate Certificate Program in Database Application Development from Seneca College of Applied Arts and Technology, and a Bachelor's degree in Information Technology from the Indian Institute of Information Technology. She is also a research scientist with relevant experience of 5.70 years. Namita's technical skills include Data Engineering, AI, Big Data, Data Scientist, Deep Learning, NLP, Jupyter, Research Scientist, Android, Pandas, Python, and Software Engineering. Namita is a highly motivated individual who is always looking for new challenges and opportunities to learn. She is a team player with excellent communication skills and a strong work ethic. Namita's passion for Big Data and Data Science makes her a valuable asset to any organization.