Machine Learning Engineer, worked in different domains from computer vision,reinforcement learning and demand forecasting. Key competencies: - Data Analysis - Data Visualization - Machine learning algorithms: linear and logistic regression,Decision tree,Random forest,Xgboost - Time series : ARIMA,ETS,Prophet - Deep learning: CNN,RNN - Reinforcement learning: Deep-Q network, Policy gradient,Actor-critic - Model interpretation : LIME,SHAP - Web scraping(static and dynamic webpage): Beautifulsoup,Selenium Programming languages and tools: Python,C,R,SQL,Excel,Git,Docker Frameworks: Tensorflow,Keras,Pytorch,Django,Flask Cloud: AWS - ECS,Fargate,Lambda,Sagemaker,Forecast,Textract,Code Commit,Code Build,Code Pipeline,EC2,S3 GCP - AI platform,Auto ML,Bigquery,Cloud APIs Blogs: https://www.analyticsvidhya.com/blog/author/dmoonat/ Google Qwiklabs profile: https://google.qwiklabs.com/public_profiles/bcf59e20-f7bd-4afb-82a7-7e3a4aa3d934