Navjot Kaur Bians
About Navjot Kaur Bians
Navjot Kaur Bians is a Data Science Fellow with expertise in computer vision and natural language processing. She has developed various projects, including a Social Distance Analyser and a Mask Detector, and has held positions at companies such as Intelense Inc and Walmart Canada.
Current Role at SharpestMinds
Navjot Kaur Bians serves as a Data Science Fellow at SharpestMinds since 2021. In this role, she focuses on applying data science techniques to solve complex problems. Her contributions include developing innovative algorithms and models that enhance data analysis capabilities. The position allows her to leverage her expertise in machine learning and computer vision.
Previous Experience in Data Science and Engineering
Prior to her current role, Navjot worked at Intelense Inc as a Computer Vision Engineer from 2020 to 2021. During her tenure, she developed a Social Distance Analyser utilizing object detection algorithms. She also held a position as a Research Assistant at the Central Scientific Instruments Organization from 2010 to 2013, where she contributed to various research projects. Additionally, she worked at Walmart Canada as a Manager from 2019 to 2020.
Education and Academic Background
Navjot Kaur Bians has a strong academic background in Electrical, Electronics and Communications Engineering. She earned her Master's degree from Punjabi University from 2013 to 2015, followed by a Master of Engineering (MEng) from the University of Ottawa from 2017 to 2019. She also holds a Bachelor of Technology (BTech) from Punjab Technical University, which she completed from 2006 to 2010.
Contributions to Towards Data Science
Since 2021, Navjot has been a Contributing Author at Towards Data Science. In this capacity, she writes articles that share insights and knowledge in the fields of data science and machine learning. Her contributions help educate and inform a broader audience about advancements and techniques in data analysis.
Projects and Technical Skills
Navjot has worked on several technical projects that showcase her skills in data science and computer vision. She implemented a Multi-label Multiclass Classification project to detect toxicity levels in comments using NLP/NLU. Additionally, she created a Mask Detector using object detection techniques and applied deep learning algorithms for face recognition and activity monitoring using pose estimation.