Picture taken in part of the plant I supervised from nothing to installation & commissioning.
Engineering Asset Management is one key pillar in the management of business. In an ever changing environment faced with serious resource constraints, the reliability and availability of systems has to be guaranteed for optimum delivery. The need to understand Asset relationships and their interactions within systems is crucial for control.
Sensors & Transducers
Quality Control Systems
Combining Engineering with Data Analytics
This is my forte. Deriving insights from very complicated data matrices.
Applying Systems Engineering knowledge to Data Science value adding processes is a unique process that requires
Installation of Assets is never complete and successful on its own. A full integration into existing systems is required from process to methods and people.
The numbers should add up for any investment to make sense not in isolation but in the whole. A full knowledge of systems engineering and their integration again will ensure successful project venture.
I have been privileged to carry through teams in the process and realized record performance.
Creating Value in Industry
Computer Vision
Sentiment Analysis (NLP)
AI Products
2010-2018
1. Building Database using Microsoft Access
2. Startups using Joomla E-Commerce Platform
3. Building a Statistical Control system to Analyze Live Stream data from on inline Teledyne Product Quality Analysis modules.
My Journey in Data Science
1. Learning and practicing Web Development technologies ( HTML/ CSS, JavaScript, Angular)
2. Learning Python & Django
3. Fresher on Statistics
4. Joining DataCamp to learn Machine Learning basic technologies
5. Joining RIT University for a full time Masters in Data Science course
6. Taking Freelance projects on ML