Manager Project

SREEJITH KAYARAT

+1-647-***-**** *******.********@*****.***

EDUCATION

Post Graduate Diploma in Cloud Computing for Big Data January 2018 - Present Lambton College, Toronto, ON. GPA: 3.26/4.0

Bachelor of Engineering in Computer Science and Engineering July 2013 - May 2017 Amrita University, India CGPA: 6.7/10.0

PROFESSIONAL EXPERIENCES

Market Research Interviewer Jan 2019 - Present

Numeris, 1500 Don Mills Road, North York, ON M3B 3L7

Asking a set of scripted questions to gauge people’s attitudes towards a particular product, service or issue.

Recording responses on a computer or questionnaire. Assign the speci c code for the responses. Technical Support Aug 2017 - Nov 2017

Amazon Development Center, Coimbatore, India

Solving customer queries. Issue refunds and replacement orders. Handle complaints, provide appropriate solutions and alternatives within the time limits and follow up to ensure resolution.

Provide accurate, valid and complete information by using the right methods. If technical errors occurs and report it to the supervisor/manager.

TECHNICAL SKILLS

IBM Watson Weka Microsoft BI Scripting

Python C++ PostGRE SQL Microsoft SQL

Weblogic Server VMWare MaxOS Linux

R Studio IntelliJ PyCharm Microsoft Server 2012

PROJECTS

Heart attack Prediction Jan 2019 - Apr 2019

CAPSTONE Project

Developed dataset, which contains people with di erent physique and habits. Used Python NumPy for generating output which tells how many people are having a chance of heart attack on the given data set. Data Mining and Clustering using Weka Jan 2018 - April 2018 Case Study

Dataset is taken from ICS.edu in the section of heart diseases. Taking a dataset, apply di erent algorithms, generating the results. Successful in nding which algorithm was suitable for that particular scenario. Comparing di erent algorithms, generated a report based on the output. A hybrid approach for Automatic Document Summarization January 2017 - April 2017 Major Project - Final year

Published in: 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Text summarization is the process of reducing the original size of the document and producing a summary by retaining the informative parts of the original document.We were successful in reducing a summary similar to that human generated one.

This application uses the concepts of Natural Language Processing. This project can be applied on various areas such as medical eld, accident claim etc.

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