Developed the data analytics strategy framework which is used as the fundamental pillar in introducing Data Science & Analytics capability to the business. Data visualization and Machine learning to build quick business prototypes Developed marketing & commercial dashboards with dynamic reports in Power BI for effective diagnostic insight generation. Effective Data Mining techniques including clustering and classification models ensured efficient network resource utilisation Data exploration & data discovery techniques along with effective feature engineering. Time series and seasonality analysis for predictive modelling and forecasting network resources. Geospatial data visualisation for optimised network planning Built & tuned predictive models to simulate network performance Strategic and development in collaboration with business stakeholders to deliver Predictive Risk Analytics product Designed predictive risk profiles to identify Operational Risk, Compliance Risk, Quality Risk and Financial Risk Designed and developed Machine Learning models to predict risk across the network of sites based on both structural and temporal features and update risk profile based on changed conditions Introduced data modelling framework for ingesting data from the RAW data source and applying data transformations all the way up to the presentation layer in Tableau Tools: Python, R,Anaconda, Jupyter Notebook, Azure ML, Power BI, MS-PDW, SQL Stack 2017, Google Analytics, Sitecore FXM, Oracle SRM, SalesForce (SFDC) Developed Machine Learning models including Text Sentiment Analysis and Time Series Forecasting to help validate key business hypothesis