Rajneesh Pandey

Professional Summary: <br/>• 9 years of IT experience includes in Data Science (Machine Learning), Data/Business Analytics, Data Visualization, Data Operations, and BI. <br/>• A deep understanding of Statistical Modelling and Implemented bootstrapping methods such as Random Forests(Classification), K-Means Clustering, KNN, Naïve Bayes, SVM, Decision Tree, Linear and Logistic Regression Methods. <br/>• The experience of working in text understanding, classification, pattern recognition, recommendation systems, targeting systems and ranking systems using Python. <br/>• Worked with applications Python to develop predictive models. <br/>• Extensively worked on Python 3.5/2.7 (Numpy, Pandas, Matplotlib, Nlp using NLTK and Scikit-learn) <br/>• Experience in implementing data analysis with various analytic tools, such as Anaconda 4.0 Jupyter Notebook <br/>• Worked on Tableau to create dashboards and visualizations. <br/>• Extensive experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems and generating data visualizations using Python. <br/>• Hands on experience in business understanding, data understanding, and preparation of large databases <br/>• Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing datamining and reporting solutions that scales across massive volume of structured and unstructured data. <br/>• Good understanding on data preparation techniques. <br/>• Proficiency in application of statistical prediction modeling, machine learning classification techniques andeconometric forecasting techniques. <br/>• Creative thinking and propose innovative ways to look at problems by using data mining approaches onthe set of information available. <br/>• Identifies/creates the appropriate algorithm to discover patterns, validate their findings using anexperimental and iterative approach. <br/>• Applies advanced statistical and predictive modeling techniques to build, maintain, and improve onmultiple real-time decision systems. <br/>• Closely works with product managers, Service developmentmanagers, and product development team <br/>• in productizing the algorithms developed. <br/>• Dashboards, Storyline on web and desktop platforms. <br/>• In-depth knowledge of statistical procedures that are applied in Supervised / Unsupervised problems. <br/>• Experienced in working withadvanced analytical teams to design, build, validate and refresh datamodels that enable the next generation of sophisticated solutions for global clients. <br/>• Strong understanding of the U.S. healthcare system including Medicare Advantage, care delivery, <br/>• healthcare financing, and risk adjustment. <br/>• Excellent communication skills (verbal and written) to communicate with clients and team, preparedeliver effective presentations. <br/>• Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, DesignSpecification and Testing as per Cycle in both Waterfall and Agile methodologies. <br/>• Strong experience in interacting with stakeholders/customers, gathering requirements through interviews, workshops, and existing system documentation or procedures, defining business processes,identifying and analyzing risks using appropriate templates and analysis tools. <br/>• Mapping and tracing data from system to system in order to establish data hierarchy and lineage. <br/>• Used Data Lineage and reverse engineering as a way to track back errors in data till the data source. <br/>• Having exposure on AI and Deep learning algorithm