Description
I am a Data Science professional Working on Banking and Finance sector to draw insights from client’s data using Dataiku data science studio.- Primary Skills - Python, Machine Learning, TensorFlow, PyTorch, OpenCV, Docker
- Secondary Skills - Docker, Containerization, Computervision Technology.
- Design and Development of Image Classification using CNN on FPGA Accelerator.
- Automation of Home Appliances with Dynamic Remote Control.
- Worked on the regression problem to predict the thickness of material.
- Processing the night time light raster images to find out inequality in a particular geographical area.
- Research and development of machine learning algorithms for industrial automation: Human Machine Interface (HMI) GTD software and Train Integrated Management System (TIMS)
- Design and development of Intelligent Word Recognition(IWR) using computer vision technology. Designed and Implemented: Analyzing different deep learning networks for a good fit forword detection using supervisely framework
- Tabel Detection in Documents using Faster-RCNN on PyTorch
- Development of Artificial Intelligence (AI) based RTL architecture of Convolutional Neural Network (CNN) for image classification.
- Designed and Implemented: CNN Accelerator on PYNQ-Z1 SoC
- FPGA based CNN Architecture for MNIST dataset on Artix-7
- Camera to VGA RTL Architecture on Sparten-3E
- Implemented Face Recognition using OpenCV on Raspberry Pi
