Nikhil Gehlot

Analyze large datasets to provide strategic direction to clients for their business. Creating mature data science pipelines encompassing data Standardization, Feature Extraction, Model Validation and Optimization. Scripting using python language for predictive algorithms. Develop statistical models for various predictive methods such as Forecasting, Classification, Regression. Hyper-Parameter tuning to improve the model. Generating actionable insights from client data and creating presentations and dashboards to make recommendations for improvement. Experienced in feature selection using Filter Methods, Wrapper Method and Embedded Method. Advance knowledge of ML algorithms such as Ensemble Models, Kernel-KNN, Grid Search, Random Forest, Decision Tree, SVM, Linear Regression, Ridge, Lasso. Methods to boost up the accuracy via Stacking, Bagging, Boosting. Collaborate with engineering and product development teams for domain expertise. Deploy test model using Flask.