Seasoned data scientist with more than a decade of experience in the field, seeking to leverage expertise in machine learning, artificial intelligence, and predictive modeling to make an impact in a new organisation. Proven ability to take on variety of data challenges, develop innovative solutions, and lead teams to success.

Languages & Aptitudes: Python, SQL, R, PySpark, Scikit-Learn, Keras, H2O, Dask, Caret, MLflow, Linux Shell, Tableau, Oracle BI, SPSS Modeler, MS Office Suite, Tensorflow, Tensorboard, Plotly-Dash, R Shiny, HTML, CSS, Flask, Hyperion, Genesys System and Airflow

Technical Skills: Data Mining, Web Scraping, Cleaning and Munging, Data visualisation and Reporting Techniques, Deep Learning - Neural Modeling (ANN, CNN and RNN), Gradient Boosting (XGBoost, lightGBM), Regression (Linear, Multiple-Linear, Lasso, Logistic, Polynomial, SVR, Random Forest, Recurrent Neural Network), Classification (ANN, SVM, Random Forest, XGBoost, lightGBM, Naive Bayes, Logistic Regression), Clustering (K-Means, Hierarchical)