*** Freelance Consultant in the areas of Artificial Intelligence, machine learning, deep learning and reinforcement learning & ***ITMG PMO, Research & Development - Remote Sensing, ***Qualified M.Tech - Remote Sensing with nearly 18 years experience in Program/Portfolio/Project Management and Project Life Cycle *****Practicing Artificial Intelligence and Machine LearningSupervised Learning: Classification, Regression and Forecasting.• Decision Trees (Classification and Regression)• Random Forests (Classification and Regression)• Naïve Bayes Classification (Classification)• Linear Regression (Regression)• Logistic Regression (Classification)• K-Nearest Neighbor (Classification)• Support Vector Machines (Classification)Unsupervised Learning:Clustering Algorithms• Centroid-based algorithmsK-MeansK-MediansExpectation Maximization (EM)Hierarchical Clustering• Connectivity-based algorithms• Density-based algorithms• Probabilistic• Dimensionality ReductionPrincipal Component AnalysisMulti-Dimensional Scaling (MDS)Linear Discriminant Analysis (LDA)• Neural networks / Deep LearningANN (Artificial Neural Networks)PerceptronBack-PropagationRNN (Recurrent Neural Networks)LSTM GRUCNN (Convolutional Neural Networks)Stacked Auto-EncodersEnsembled Methods Bagging with Random ForestBoosting with AdaBoostMachine Learning FrameworksTensorflowTorch/PyTorchScikit-learnKeras with Tensor Board BackendTheanoML/DL programming Language: PythonReinforcement learning(Q, DQ and DDNQ in ITS(Intelligent Transportation Systems) explicitly in the area of Urban Mobility by using macro and micro, command level and GUI level SUMO/Traci simulation environments ********* 18+ years of experience in IT Program/Portfolio/Project Management & Governance ***6 yrs of Onsite Experience in USA*** 4 years experience in PMO and enterprise project management using ITMG PMO tools NIKU, Clarity, HP PPM, Primavera