Avijeet Mondal
About Avijeet Mondal
Avijeet Mondal is an Analyst at KPMG India, recognized for his strong communication skills and ability to leverage data for strategic decision-making. He holds a Bachelor of Technology in Computer Science and Engineering and has expertise in Python and SQL.
Work at KPMG India
Currently, Avijeet Mondal is employed as an Analyst at KPMG India. His tenure began in 2018. In this role, he utilizes his analytical skills to support strategic decision-making processes. His responsibilities include leveraging data to create business impact, which aligns with KPMG's focus on delivering insights and solutions to clients.
Previous Experience at Webtek Labs Pvt. Ltd.
Avijeet Mondal worked at Webtek Labs Pvt. Ltd. for one month in 2016. During his time there, he was involved in the development of a Locker Management System. This role provided him with practical experience in software development and project management in the Kolkata Area, India.
Educational Background in Computer Science
Avijeet Mondal earned a Bachelor of Technology (BTech) degree in Computer Science and Engineering from Government College of Engineering and Textile Technology, Berhampore. His studies spanned from 2014 to 2018, equipping him with foundational knowledge in computer science principles and practices.
Expertise in Data Analysis and Machine Learning
Avijeet possesses strong skills in Python and SQL, which are essential for data analysis and machine learning tasks. His expertise enables him to effectively analyze data sets and develop algorithms, contributing to strategic business decisions. He emphasizes continuous learning, reflecting the principles of machine learning in his professional development.
Research Experience in Cancer Classification
In 2018, Avijeet Mondal participated in a project focused on cancer classification using an Active Learning based Fuzzy K-Nearest Neighbor method and Batch mode SVM. This project lasted for four months and provided him with hands-on experience in applying machine learning techniques to real-world problems.