June 2022 - December 2022 (Ongoing)
Data Science Intern
Analyzed weight data from customer waste bins using Python, to identify customer waste generation patterns and distributions from various computed waste metrics such as waste diversion.
Created live dashboards and data reports using HTML for customers to track their waste reduction.
2021 - Present
Master of Science in Data Science
Related Courses :
Database Management Systems
Supervised Machine Learning
Large Scale Parallel Data Processing
Introduction to Data Management and Processing
2017 - 2021
ANNA UNIVERSITY -
SSN College of Engineering
Bachelor of Engineering in Electronics and Communication Engineering
Fundamentals of Data Structures in C
My Top Strengths
Working well in a team – I work well, when I am in a team and help bring the team together and gel our ideas into one, and this was demonstrated when my team and I performed well in a Hackathon and placed 3rd out of over 50 teams.
Able to extract the critical insights from data – One of my key strengths is being able to identify relationships that exist between variables from a given dataset and I am able to communicate the insights that I have found well. This is demonstrated in my project “Insider Trading Analysis”.
Quick Learner – I am able to grasp concepts quickly and understand them well.