Noel Prashanth

Background

About Noel Prashanth

I am a Data Analyst with a background in Engineering, A Masters of Science in Automotive Engineering and received a Certificate in Data Analytics and Visualization from the University of Toronto expanding my skills in Python with Pandas, Matplotlib, SQL, Javascript, R, Tableau, and Excel VBA. In the boot camp, I collaborated with a team to analyze loan acceptance and interest rate prediction related the finance industry utilizing Python, PostgreSQL, mongoDB and Flask app providing strong collaboration based on the data. I have the ability and determination to learn effectively, solve problems creatively, and keep up with changing demands. A diligent problem solver with a love of learning through analytics and the organization of information, looking to join a data team to provide data analytics solutions, making challenging topics easier to understand and communicate technical information to a non-technical audience. Majority of my experience within Toyota Motor Corporation as a Field Quality Engineer, is to improve products and services for our customers by using analytics, setting up the company's main analytical tool (i.e. In house developed ERP). creating and maintaining working and useful data and problem solving with deep in vehicle diagnostics on various systems (electrical, mechanical and body related like NVH). With the growing need to understand customers from a data point of view, improving in this field of analysis I rose to the challenge to learn and adapt to the changes I pursued Data Analytics.