Akshay Kapoor
About Akshay Kapoor
Akshay Kapoor is a Data Scientist II at Intact, specializing in machine learning, computer vision, and natural language processing. He has a diverse background in data science, having previously worked at Reliance Industries Limited and the University of Waterloo, and holds a Master of Engineering from the University of Waterloo.
Work at Intact Financial Corporation
Currently, Akshay Kapoor serves as a Data Scientist II at Intact Financial Corporation, a position he has held since 2023. Prior to this role, he worked as a Data Scientist I at the same organization from 2021 to 2023. His responsibilities include managing data architecture design, conducting extensive testing, and establishing monitoring for a customer base of 400,000. He has also propelled a telematics project for commercial lines, which projected an annual benefit of $1 million through predictive risk modeling and real-time monitoring.
Education and Expertise
Akshay Kapoor holds a Master of Engineering (MEng) in Electrical and Computer Engineering with a specialization in Machine Learning from the University of Waterloo, where he studied from 2019 to 2020. He also earned a Bachelor of Engineering (BE) in Electrical Engineering from Thapar Institute of Engineering & Technology, completing his studies from 2013 to 2017. He is AWS Certified Cloud Practitioner, demonstrating his knowledge in cloud computing concepts and AWS services. His expertise includes Computer Vision and Natural Language Processing, utilizing both supervised and unsupervised machine learning techniques.
Professional Background
Before joining Intact Financial Corporation, Akshay Kapoor gained experience at Reliance Industries Limited, where he worked as a Graduate Engineering Trainee from 2017 to 2018 and as an Engineer Analyst from 2018 to 2019. He also interned at Diesel Locomotive Works as a Student Intern in Electrical Data Analysis in 2017. Additionally, he worked as a Graduate Student at the University of Waterloo from 2019 to 2020, contributing to various research projects in data science.
Achievements in Data Science
Akshay Kapoor has made significant contributions to the field of data science, including the implementation of advanced clustering algorithms to analyze and optimize behaviors. He has improved customer segmentation through the application of spatial binning using the geospatial indexing tool, H3. He efficiently managed 10 million monthly data crumbs using Databricks and PyDeeque, enhancing data quality for advanced analytics. His research work and insights are also showcased on his ResearchGate profile and through articles authored on Medium.
Technical Skills and Tools
Akshay Kapoor possesses a strong technical skill set in data analysis and visualization. He is experienced in using various data visualization tools, including Tableau, Power BI, Matplotlib, Seaborn, and Plotly. His work involves meticulous data management and analysis, employing tools and techniques that optimize data quality and facilitate advanced analytics.