** Udacity Certified Data Science professional and Deep Learning Scholar (PyTorch) ** Hands-on experience in Deep Learning, Natural language processing (NLP) and various advanced machine learning tools and techniques including PCA, Ensemble Methods (Bagging, boosting), Grid search algorithm, K-Fold cross-validation.etc. ** Hands-on experience of Statistical data Analysis, Data visualisation, ETL, Data Warehouse, Python, SQL, Numpy, Pandas, scikit-learn, matplotlib, Scipy, git, AWS, Amazon Linux AMI, Amazon Redshift. ** Tools: PyCharm, Jupyter Notebook, Google Colab, Anaconda, DbVisualizer, WinSCP ** Experience in working with structured, unstructured and semi-structured data Medium: Twitter: Github: ©

IT Analyst and developer, mainly focused on data exchange. Prefers Perl and XSLT, as well as javascript, Applescript, SQL etc. ©