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