Curiosity. Reliability. Excellence.Nellie Rajarova is a curious, analytical and result-oriented Data Scientist who has a passion to unearth valuable insights from the available data. She has demonstrated the ability to deliver quality results in new unexplored initiatives around data analytics that have resulted in significant financial benefits (both in revenue and cost) for the organization.With a research background and 5+ years experience in working with complex mathematical models she is adept at utilizing multiple programming languages and tools to achieve the desired goals.Nellie's areas of specialization include• Machine learning algorithms and techniques - both supervised and unsupervised• Predictive modeling using cluster and sentiment analysis, time-series forecasting, linear and logistic regression• Advanced Statistical forecasting/modeling with R, SAS and Python• Data preparation - collect, extract, clean and transform gigabytes of data (SQL)• Creating compelling visualizations (with Tableau and Python) that can deliver actionable insights to decision makersShe has gained a solid understanding of working with real world data including data preparation, data cleanup, statistical model development, quantitative/qualitative anlaysis, and developing compelling visualizations that can effectively communicate the findings and recommendations to a non-technical audience/client. Always eager to work collaboratively, she is driven by her curiosity to explore new avenues.Tools and Technologies -R, SAS, Python, Hadoop, Tableau, Qlik View, SQL, Microsoft Excel, VBA