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Expertise in the development of forecasting models (machine learning and stochastic predictive models) In-depth knowledge and skills to analyze large datasets using both statistical and advanced data mining/machine learning algorithms Analysis of large datasets from Plugged-in Midlands Project (PiM) and eBridge project related to Electric Vehicles charging events and EV trips (R studio, Matlab, SPSS, WEKA tool and RapidMiner software packages used) Cluster Analysis using k-means algorithm to extract typical profiles (Matlab, R) Statistical Analysis using Regression models to investigate the long-term trend of a time series (Matlab, SPSS) Development of a quantitative risk analysis (decision making) model (based on Fuzzy-Logic) to identify the potential risk of EV charging demand on a distribution network (Matlab) Spatial Data Analysis (using Google Earth/Google Maps, Open Street Maps) Data Visualization experience (UML diagrams, Matlab, Microsoft Office) Professional experience using tools and techniques to utilize Business Intelligence in order to drive competitive advantages and create new strategic business opportunities Organizational and Analytical skills, Strong commitment to learn and a strong drive to achieve results, Intellectual skills and creative thinking, Ability to work independently and within a team environment and deal in a challenging environment under pressure, Strong independent decision-making, organizational, planning and problem-solving skills
I am a data science and analytics consultant with more than 10 years of experience in extracting insights from big and small data sets, identifying data-driven solutions for business problems and driving business growth. I have led projects on cutting edge data analytics problems with Facebook, Government bodies, Insights Centre and multiple international startups in Internet, Advertising, Retail, eRecruitment, PMO, Operations, Hospitality, and Real estates.
Main skills: - Data Science, Machine learning - Statistics - Forecasting - Text analytics, Text mining and Natural Language Processing - Business intelligence - Python, Pandas, Numpy, Scikit-learn - SQL, Hive, Presto - MySQL, Vertica, Oracle, SQL Server, CSV, JSON - Data Visualisation: Tableau, Microstrategy more