Data Scientist and Machine Learning Engineer with a background in Quality Assurance and with +7 years of experience in data analysis and insights. Skilled in Python and associated libraries, Numpy, SQL, Sci-Kit Learn, Pandas, Keras and TensorFlow. Fascinated by Deep Learning and all its possibilities. SKILLS• Languages: Python (Pandas, Numpy, Sci-Kit Learn, PySpark), Apache Spark, Apache SystemML • Databases: SQL (T-SQL, Hive, Impala, PostgreSQL, MySQL)• Data Collection: JSON, CSV, Excel, Parquet, Shapefiles, API’s, Web Scraping, HTML parsing• Data Visualization: Matplotlib, Seaborn, Folium, PowerBI, Powerpoint, Excel• Statistics: Statsmodels, Generalized Linear Models, Hierarchical and Mixed Effects, Multilevel Models, Bayesian Inference Techniques, PCA• Digital Signal Processing: Fourier Transform, Wavelet Transform• Machine Learning Classification: Random Forest Classification, Support Vector Machines, Generative Gaussian Models• Machine Learning Regression: Regularized Multiple Linear Regression, Polynomial Regression, SVM, Random Forest Regression • Machine Learning Unsupervised: K-Means Clustering, DBSCAN clustering, Recommender Systems, Gaussian Mixture Models• Deep Learning: Feed Forward Networks, Convolutional Neural Networks, NLP, LSTMs, Sequence Models, Autoencoders, GANs