#German+English#║DataScience/BigData║ Python║AWS║GCP║DeepL║NLP║Computer Vision║Keras║ TensorFlow║PyTorch║Robotic║LiDAR║3dPointClouds ║DeepLearning║Terraform║CI/CD║Snowflake║Spark Jira║Git║ROS║GridComputing║Linux║JavaScript║ ║HTML,CSS║django║streamlit║flask║REST-API║ Postman║Swagger║Postgres║bigQuery║DynamoDB║
I am about to complete my Ph.D. in cognitive science from the university Osnabruck. My main focus of Ph.D. was deep learning, natural language processing, and computer vision. (research papers published).
I have already worked on many AI and Deep learning projects:
Here are some of them
- scanned document recognition and digitalization with help of modern techniques like Tesseract, and computer vision. Bulk scanned document processing and information extraction using Computer Vision and tesseract OCR a 1.5-year project (for Daimler at Stuttgart)
Main Tasks:
I have customized the computer Vision model to the recognized document instead of object recognition (That was purely my own innovation, and the idea worked really superb)
• Modifying prebuilt tesseract-OCR model to retrain and adapt with German language.
• Aligning the computer vision model and tesseract-OCR to the customer's specific document needs
• denoising, straightening, enhancing, and augmenting the customer's diverse set of documents
• meeting the 99% accuracy of information extraction of very complex scanned images.
• building and mapping database to show the extracted information at the front end.
• Building REST API to interact with web services
2 Is Deep-learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic process. Tasks:
- Very big data parsing using millions of different Text-based new articles around the globe, I have extract, aggregate, and sorted them, and ultimately converted them into a database using Bigquery.
- I have fetched them using pandas into a machine learning environment (Keras) and built a sentiment index using the text information.
3-Financial distress predictions with deep learning and Natural Language processing: `
Tasks:
- Collected thousands of parameters of bankruptcy and financial distress prediction of the USA-based big companies using Deep Learning Models.
- Aim was to predict financial distress for big firms beforehand using financial many different financial parameters
4- Augmented Report Generation with Transformer-Based Language Deep Learning Model and Natural Language Processing
Tasks
- Handling with the 18 billion text tokens to automatically generate small business reports
- I have Used Transformer-based Neural network architecture is the most advanced one used by the open AI team.
- Model is able to write artificial business-related text which is grammatically correct and without any human involved.
5- Vehicles' Tyre wall recognition system with Computer Vision | 3D Unets
6- Inventory Counting System with help of Drone and Computer vision