Summary
Overview
Work History
Education
Skills
Timeline
Certification
Accomplishments
Generic

SUBASHINI R

Machine Learning Engineer

Summary

  • Module Lead with 8 years of experience in Machine Learning, Deep Learning, Python, Django and OpenCV .
  • Skilled in creating machine learning models and retraining systems and transforming data science prototypes to production-grade solutions.
  • Experience in CNN and built own CNN architecture for Image Classification

Overview

7
7
years of professional experience
4
4
years of post-secondary education
1
1
Certificate
2
2
Languages

Work History

Machine Learning Engineer

Mphasis
Chennai, Tamilnadu
08.2021 - Current

FedEx - Keyword Extraction

  • Built ML model to extract finance related keywords from different types of documents.
  • Enhanced readability of OCR engine using various Image processing techniques.

FedEx - Customer 360

  • Ingesting user supplemental files from source to Data Lake raw zone
  • Development of python script to handle email and phone number cleansing using Azure Data bricks

Machine Learning Engineer

COGNITIVE COMPUTING SUITE
02.2017 - 07.2021
  • Analyzing requirements and building AI solution
  • Building EOB and Non-EOB Classification Model
  • Building Format Classifier Model using CNN architecture
  • Image Processing to improve the readability of OCR engine used
  • Involving in Weekly release and code deployment
  • Debugging and providing code fix for the defects and following up for proper closure of defects
  • Involving in the development of various web application on own interest
  • Drafting the Daily Status report and Weekly Status report to the Client regarding the status of the project Achievements
  • Awarded ON THE SPOT for effective presentation of AI solution to Health Logic AI
  • Governance team, US

Project Lead

Rogers
06.2015 - 01.2017
  • Analyzing requirements, Solution design specifications by interpreting the client requirements for a feature or change request
  • Providing inputs for Test Plan creation
  • Preparing Traceability Matrix and Test Scenarios to ensure 100% Test coverage
  • Designing effective Test cases to exercise all the possible logic
  • Performing Test Case Assignment on daily basis throughout the Test Execution phase to the project members
  • Execution of E2E (Functional/ Manual Testing/ System Testing) test cases, raising defects in defect tracking tool and tracking them till closure
  • Hosting Defect Call on daily basis to get ETA and quick resolution for the defects opened
  • Drafting the Daily Status report and Weekly Status report to the Client regarding the status of the project
  • Awarded ON THE SPOT and BEST TEAM awards for the effective participation and completion of ECLIPSE Project
  • Received Client Appreciation for completing the RHP 1.5 project in a very short time with zero defect leakage to production.

Test Analyst

Bank of Montreal
02.2015 - 05.2015
  • Creating Test Data for Test case execution
  • Performing Test Case execution – Webpage Testing
  • Raising defects and tracking them till closure
  • Reporting to Senior Management on testing analysis and baseline results.

Education

Bachelor of Engineering - Electrical, Electronics Engineering

IRTT
Eroce
06.2010 - 05.2014

Skills

    Machine Learning

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Timeline

Machine Learning Engineer

Mphasis
08.2021 - Current

Post Graduate Program in AI & ML

06-2019

Machine Learning Engineer

COGNITIVE COMPUTING SUITE
02.2017 - 07.2021

Project Lead

Rogers
06.2015 - 01.2017

Test Analyst

Bank of Montreal
02.2015 - 05.2015

Bachelor of Engineering - Electrical, Electronics Engineering

IRTT
06.2010 - 05.2014

Certification

Post Graduate Program in AI & ML

Accomplishments

  • Awarded BEST PERFORMER award for presenting successful demo to AI
  • Governance Team, US
  • ON THE SPOT AWARD for the Best participation in ECLIPSE Project on 24 Oct 2016
  • Awarded BEST TEAM AWARD for the successful completion of the ECLIPSE Project on 28 Nov 2016
SUBASHINI RMachine Learning Engineer