I have overall 5.6 years of experience in IT software development. I have strong foothold on below technical field. I am enthusiastic to contribute on following work expertise and have keen desire to do R&D in field of Computer Vision, Deep Enforcement Learning, Quantum Machine Learning.
Machine Learning algorithms, AI neural networks creation, Deep Learning and Natural Language Processing, Image Processing, Video Processing and Computer Vision. Python Libraries: Scikit-Learn, Pandas, Numpy, Tensorflow, Keras,Pytorch, NLTK, OpenCV , MatplotLib, Seabon,Spacy, Gensim, Statsmodels, PyBrain, beautifulsSoup, Machine learning algorithms: Linear Regression, Multi Linear Regression, Polynomial Regression, Logistic Regression, Decision Tree, Random Forest, SVM(Support Vector Machine), Random Forest, Naïve Bayes, KNN (K-Nearest Neighbor), K-Means, Dimensionality Reduction Algorithms, PCA. Neural Networks : ANN, (Convolutional Neural Network)CNN, Recurrent Neural Network (RNN), LSTM, (Bidirectional)BRNN, GRU. Image Object Detection, Segmentation, Classification:YOLOv2&3, Fast-R-CNN, Sliding Window , ROI, SSD Face Recognition: Siamese Network Mathematics : Probability Theory, Statistics, Linear Algebra, Deferential & Integral Calculus, Ordinary & Partial Differential Equation, Linear Programming, Operational Research