About

Pincle Parashar is a highly skilled Data Scientist with over 5 years of experience in the field. He holds a Master's degree in Data Science from the University of North Texas and a Bachelor's degree in Electronics and Communications Engineering from Bansal Institute Of Sc. & Tech. He is a passionate problem solver, team leader, and fast learner with excellent aptitude and logical reasoning skills. Pincle's aim is to deliver analytical work with simplicity and high consumption value. He has expertise in various analytical techniques, including statistical techniques, machine learning modeling, NLP, and SQL. He has extensive experience working with analytics platforms such as Python, R Programming, Excel, Google BigQuery, and MySql. Currently, Pincle is working as a Data Scientist at Geotab, where he has developed a churn risk model in Python using machine learning techniques, resulting in targeting churned customers and reducing the churn rate by 5%. He has also utilized the Google Big Query platform to analyze, extract, and process messy data for data modeling. Additionally, he has developed dashboards to measure the impact, ROI, and long-term efficacy of Geotab training efforts and communicated detail-oriented findings to senior management to make data-driven decisions. Prior to his current role, Pincle worked as a Data Analyst at Geotab and as an ITDS Teaching Assistant at the University of North Texas, where he supervised practical labs of Python/SQL and Data Structures and algorithm, graded assignments, and delivered lectures to the classroom. Pincle's tech stack includes Data Science, Research Science, Python, SQL, ML, NLP, and MySQL. He is actively seeking a full-time opportunity starting from August 2022 to further his career in the field of Data Science. With his expertise and experience, Pincle would be an asset to any organization looking to leverage data-driven insights to make informed decisions.