- Have Intense knowledge and industry experience in Data Science, Machine Learning, Deep Learning, Natural Language Processing and Artificial Intelligence - Expert in applying powerful tools and techniques to make discoveries about business problems, processes and platforms. - Excellent hands on experience on Predictive Modeling, Predictive Analytics, Statistical Modeling - Well versed in machine learning algorithms (Supervised, Unsupervised and Reinforcement Learning) such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine (SVM), Naive Bayes, Neural Network (Radial Basis network, Deep Feed Forward, RNN, LSTM, CNN, MLP, Restricted Boltzmann Machine), K-nearest neighbors, Social Network Analysis, Association Rule, PCA, clustering algorithms ( K-Means, Hierarchical), Singular Value Decomposition, A/B Testing, Forecasting using (Naïve forecasting, AR, MA, ARIMA, VAR, VARMA, SES, RNN, LSTM), Sound knowledge on Recommendation Systems (Collaborative filtering, Content based recommendation, Item based recommendation), - Well versed with Boosting methods:XGBoosting, LightGBM, Catboost - Excellent understanding of Trend Analysis, Time Series analysis, Forecasting and risk analysis - Expert in optimization techniques, performing hyper-parameter tuning using different techniques: random search, grid search etc. - Great communication skills - Strong background in Mathematics and Statistics