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
Deep Learning
Python
NLP
Django
Tensorflow
OpenCV
Azure Data Factory
Azure Data Bricks
SQL
Neural Networks
Numpy
Scipy
Scikit-Learn
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