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About Me
A strategic thinker & a dynamic professional with proven capabilities in Data Science, Python, Deep Learning, & Machine Learning targeting challenging assignments in an organization of high repute. A competent professional with expertise in Python, D... assignments in an organization of high repute. A competent professional with expertise in Python, Data Analysis, Data Visualization, Deep Learning, Machine Learning, Oracle/MySQL, Probability & Statistics Headstrong organizer, motivator and a decisive leader with successful track record of directing major operations from conception to implementation, excellent communicator & story teller. Outstanding success in delivering the products like Low OCR Trainer using Machine Learning, Image Signature Verification. Designed production database and maintenance of schema. Good Knowledge of major cloud service providers, like AWS, Google Cloud Platform, Oracle, Azure etc. Expert in building API to Expose Machine Learning Model using Flask and Django. Well-versed with the concepts of Supervised & Unsupervised Learning, Deep Learning, Text Pre Process, Computer Vision, and Basics of NLP. Proficient in tools like Pyspyder, Jupyter Notebook, Pycharm, and Programming Languages like Python, C, HTML, Docker. Hands-on experience in using Operating system – Windows7/10 and Linux. Developed Web Application for testing - using python and selenium. Developed based model for Odometer reading using deep learning. QR code reading and base model created for Aadhar Card, Pan Card, Tax Invoice. Developed web application for template base OCR using regex.
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Portfolio Projects
Description
Description: To detect handwritten signatures on the document & verifying the same with the reference signature images.
Individual Contribution: Engaged in requirement gathering & architect design of the project for Object Detection. Responsible for Model training for Signature Detection & Account Number.
Tools Used: Object Detection YOLOv4, Siamese Networks, OCR, Python, Docker
Show More Show LessDescription
Description: Computer Vision and Machine Learning based OCR technology is used to detect and extracting data from structured and unstructured documents like scanned images, PDF documents, etc. Our Low-code document trainer lets you train OCR models without any Deep Learning or Machine Learning experience.
Individual Contribution: Engaged architect design of the project for Low code OCR trainer. Responsible for creating base structure for non-technical user so they can train, retrain model. And after creating model user can access there model using rest-api or our application.
Tools Used: VGG16, sklearn, Django, Redis, RabbitMQ, Celery, Python, Docker
Show More Show LessVerifications
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Phone Verified
Preferred Language
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English - Fluent
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Hindi - Fluent
Available Timezones
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