• Have 4+ years of experience in ML and Deep Learning. • Proficient in Machine Learning supervised & unsupervised algorithms like Ensemble, K-Means, Linear and Logistic Regression, Decision Tree, SVM, Bayesian networks, etc. • Skilled in Neural Networks like CNN, RNN, Transfer Learning & Object Detection algorithms like YOLO, U-Net, & Mask R-CNN. • Expert in Scikit-Learn, Pandas, NumPy, SciPy, Keras, TensorFlow, OpenCV, Fuzzy Logic, etc. • Expertise in ensemble different CNN architectures and hyper-tuning different parameters like losses for better accuracy. Localization of classes using Heatmap & Feature map. • Extensive knowledge of data cleaning, Image Processing filters, thresholding, and data augmentation techniques. Love to solve various deep Learning problems as well as write different scripts for extracting valuable data from raw data. • Have good knowledge of GitHub and version control. • Comfortable working on multiple types of datasets( images, videos etc.). • Suitable for both Microsoft Windows, Unix & Linux platforms. • Coding skills in Python, C, C++, MATLAB & SQL. • Have the ability to solve problems that haven't yet been illuminated. • Actively researching Al, DL & Robotics techniques.