Summary
Overview
Work History
Education
Skills
Additional Information
Work Availability
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Timeline
AccountManager
NITHIN R

NITHIN R

Systems Engineer Specialist
Bengaluru,KA

Summary

Enthusiastic student and practitioner of Data Science eager to contribute to the team success through hard work, attention to detail and excellent organizational skills. With 1 year of experience of working in Insurance domain, in developing enterprise cloud solutions to manage customer data. And a tireless devotion to learning and owning new developments in the field of data science.

Overview

3
3
Languages
5
5
years of post-secondary education
1
1
year of professional experience

Work History

Systems Engineer Specialist

Infosys Ltd
Bangalaore, Karnataka
08.2019 - Current
  • Worked in insurance domain to manage customer data.
  • Researched new technologies, software packages and hardware products for use in web-services.
  • Revised, modularized and updated old code bases to modern development standards, reducing operating costs and improving functionality.
  • Used automation and cloud technologies like kubernetes and AWS to improve the availability, reduce cost and improve ease of development and maintenance.

Education

B.E - Computer Science

KLE Technological University
Hubballi
07.2015 - 08.2019

Post Graduation Diploma in Data Science - Deep Learning

IIIT
Bangalore
07.2020 - Current

Skills

Python (Numpy, Pandas, ScikitLearn, Matplotlib, Seaborn)

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Additional Information

  • ACHIEVEMENTS : My team secured 3rd place in Fintech Startup Bootcamp Hackathon held in Mumbai in the year 2017 where we had designed prediction model for recommending bank products.
  • Smart Water Management System This Project is considered as my mini and minor projects for the 5th and the 6th semesters respectively. The Aim of the project is to design a closed loop system which provides continuous vigilance on the level of water and then control the valves with no human intervention. In this project I am working in a Front End team which builds the Web and Mobile application for the project.
  • Case studies : Bike Sharing Case Study, where I used linear regression and RFE to identify important features that affect the demand for bike rental in an online bike rental application. Lead scoring, classify and score the leads the are most likely to convert, used Logistic Regression and RFE and confusion matrix to identify important features and improve model accuracy.

Work Availability

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Quote

A well defined problem is half solved.

Timeline

Post Graduation Diploma in Data Science - Deep Learning

IIIT
07.2020 - Current

Systems Engineer Specialist

Infosys Ltd
08.2019 - Current

B.E - Computer Science

KLE Technological University
07.2015 - 08.2019
NITHIN RSystems Engineer Specialist