AZ capital (Spain based advisory firm)
AZ capital is Spain based advisory firm. Information with all its team member and all the services they provide are defined with all UI/UX standard match. This service will match with all the information that is define inside the information.
Me concernant
Hello Everyone!! Thanks for reading through my profile. I have 6+ years of experience in full-stack development with machine learning.?? I have diversified experience in deep neural networks, convolution neural networks, recurrent neural networks, genetic algorithms, natural language processing, support vector machines, and generative adversarial networks. Skills Machine Learning Expertise : - CNN, - DNN, - RNN/LSTM, - GAN, - Transformers, - Auto-Encoders, - HMM-GMM - SVM, - Boosting, - Random forest Programming Language Experience : - C, - C++, - Python, - R, - Matlab, - CUDA(Beginner). Framework/ Libraries Experience : - Tensorflow, - Tensorflow lite, - Tensorflow js, - Keras, - Pytorch, - RASA, - Pandas, - Scikit-learn, - Open CV, - Tesseract OCR, - Kaldi, - OpenFace, - SpaCy, - NLTK, - Open Pose, - Others as well based on experience. Tool Experience : - Jupyter-notebook - Google Colab - Pycharm - R-Studio Past Experience Work : - Generating karyotype from Chromosome micro slide image. - Identify boundaries of wound and measurement of wound - Extensive object detection, Detection of Sky, Window, Glass, Tree, and Building. - Automated tool for detecting norms and stereotypes in popular culture. - Deep Learning with Image processing for the transformation of style from one image to another. - Mobile embedded object detection model with TF-lite. - Developed an algorithm for speech assistant, using Sirius: An Open Intelligent Personal Assistant. - Created a default loan predictor algorithm with 99.4% accuracy using Python and deep neural networks. - Created an optical character recognition for Gujarati language using Python and OpenCV, - Extracted the legos from the videos and the classify them into 52 different classes using the convolutional neural network using Python. - Worked on the CNN-based binary text classification for the movie reviews to identify the positive and negative reviews with neural networks and Python. - Developed an algorithm for moving object detection, which can find a moving object in a vibrant environment using deep neural networks, OpenCV, and Python. - Many other projects I have worked on. Few of them are signed with NDA. I shall be glad to provide any information/clarification that you might need to make a better decision. Let’s quickly jump on a short 5-10 min ☎ call/chat? to discuss more details. For a detailed discussion, if you want to schedule a meeting we can do that as well: [login to view URL] Thanks for taking the time to read through my profile. Looking forward to talking to you. Thanks
