SUMMARY

• Accomplished, Data science and Big - Data Analytics Leader with extensive experience and passion for driving results and successfully undertaking Data science, Business-Intelligence Analytics initiatives for Data-driven Decision-Support Analytics.
• Known for identifying opportunities for analytics and delivering solutions to workforce efficiency, consumer experience and better health outcomes as well communicate to leaders to inspire action & add value.
• A qualified leader with elite technology & healthcare certifications such as Certified Project Management Professional (PMP), Certified Professional in Healthcare Information, and Management (CPHIMS-HIMSS) and MCTS-SQL.
• Lead Data science, Business-intelligence/Big-Data Analytics projects from end to end development and delivery.
• Holds complete understanding and hands-on experience in the Datascience, Statistics, Machine-Learning, Deep-Learning, Artificial-Intelligence using Programming languages such as R, Python, Java, SQL, NoSQL, Spark and Azure ML, google collab, and Enterprise Voice Analytics NLP platforms such as Nexidia.
• Provide strategic insights direction in the evolving field of ML/ AI /robotics automation to build healthcare solutions for better health outcomes.

TECHNICAL SKILLS

Predictive-Modelling/Machine-Learning/Advance Analytics: R, Python ML Sklearn, Pandas, Keras, Tensor Flow (deep learning), Rattle, Azure ML, Spark, Rapid Miner.

Machine learning/AI algorithms: Supervised, Unsupervised, Semi Supervised, Re-enforcement, Deep learning, Time Series, CNN, RNN.

Programming languages: Python, R, C#, Java, Visual Basic, C, C++.

ML Platform: Jupyterhub, Airflow (ETL), Spark, Azure (ML/Model Deployment), Flask (Model Deployments).

NLP/Voice Analytics & text Analytics: Nexidia/NICE Query/Reporting/Workflows/Quality Auto Scoring Forms, Python/R.

Visual Interactive Analytics: Tableau/Power BI/Power Query, SSRS. Platfora, Atscale, Spark, Dremio, Hyperion.

Databases: RDBMS SQL Server, MS Access, Oracle SQL.

Multi-Dimensional Cube: Microsoft SSAS-Multi Dimensional, SSAS-Tabular.

Big Data: Hadoop MAP-R, Cloudera (CDH), Hortonworks (HDP), Sqoop, HDFS, Hive, Pig, Spark, SparkQ, Mogodb.

Big Data Integration: Talend 5.6 DI (Hadoop, Big Data Ent., DI Ent.), SQL, DTS, SSIS, Talend 6.0.

Big Data Analytics: Dremio, Platfora 5.0, Atscale, Spark., Hadoop Hives, Mongodb.

Data Warehouse Architecture: Star Schemas, Cube-SSAS, Facts, Dimensions, MDS, NDS, ODS, MDM.

Project Management Tools: MS Project, Kanban, SalesForce.com, SharePoint, Enterprise Github.

Cloud & Container Computing: Linux, Azure, AWS, Docker.

PROFESSIONAL EXPERIENCE

Sr. Artificial intelligence/Robotic & Data Science Director

Confidential

Responsibilities:

• Act as SME in healthcare Data, Machine Learning, AI, robotic automation and Business Process.
• Provide strategic direction in Robotic Process Automation/AI/ML strategy from data & Analytics prospective.
• Built Strategy for Data Acquisition from ML/AI/Robotic & Business rules perspective. Perform complex data research and analysis for Robotics & AI initiatives and decision making.
• Built strategy for intelligent process automation (IPA) boosting bots with AI and Machine learning by provide direction and adopting use cases with in the org. for such automation.
• Plan and Built collaborative AI/ML infrastructure and design ML/AI programs to resolve healthcare problems and consumer experience that include AI & ML.
• Partner with project managers and company executives to actively engage existing clients in exploring applications of Robotic automation/AI & ML in their current efforts to improve workforce & BP efficiency.
• Partner with Vendors (cognizance/Accenture) to develop & implement robotic/AI based automation.Prototype technical functionality around common models of machine learning, including supervised, unsupervised, semi-supervised learning and deep learning.
• Advise Executives and Line of business, tactically and strategically on a variety of data science and Robotic/AI & ML use cases, including various approaches to understanding structured and unstructured data for decision making & Robotic and AI base Business Process Automation.
• Present and communicate executives both mathematical and linguistic models pertaining to various forms of machine learning.

Sr. Data Science Manager

Confidential

Responsibilities:

• Successfully built and deployed several Machine learning models to predict pregnancy to design programs for expecting mothers, built recommendation engines for Bot applications in POC stage. Implemented intelligent call routing machine learning model into production stage.
• Successfully built end to end collaborative Datascience platforms for Data Scientists using Jupyter hub server, mlflow, Airflow, spark, rundeck and deployments in Azure ML platform.
• Achieved quality analytical reporting by building data quality firewalls, building data quality rules on incoming data, that check for inconsistency, redundancy and completeness.
• Successfully Architect Lead design and develop Phycon uhc portal analytical solution for workflow inventory and assignment of request. This analytical solution gave executives 360 view of stakeholders, resources, workflow process and request inventories. It helped executives to track and measure performance, track inventory of requests and take corrective action of bottleneck operations.
• Architect and Lead on designing Analytical consumer experience project, by accumulating & integrating Data from UhcOne web, click-to-call, click to chat, IVR and other consumer facing interfaces/channels and turn into a analytical solution to give executive 360 view of consumer behaviors, use of interactive channels and their usage. It helped them understand overall consumer channels utilization and channels switch in all over the Country.
• Implemented in UHC first of its kind Hadoop (big Data) spark cluster based RDD Analytics computing and provided seamless Hive+spark+tableau integration.
• Successfully implemented Enterprise level Big Data EPMP Preference Analytics Reporting.
• Successfully Implemented Nexidia NICE voice and NLP Analytics for call center and business quality Analytics. achieved and built several Nexidia Voice Analytics based Model Queries, Forms and Insight visualization and Reports for different segments (LOB) of Business from Call center perspective and improved NPS -25 to 45.

Sr. Business-Intelligence Architect /Manager

Confidential

Responsibilities:

• Successfully Lead, Architect and build Business intelligence solutions for Medical Management, Claims Adjudication, Reprising Application, Payer Management and CHS Benefit systems.
• Fully integrated all managed care IT operations with intranet-based web applications, which is utilized by the business units located in Fort Wayne, Kosciusko, Bluffton, Duke county hospitals.
• Successfully integrated Data sources from multiple operating business units related to claims, clinical, provider and patients. Lead several CHS Inc. ( Confidential ) provider and member Data migration projects for managed care unit.
• Successfully planned and architect several complex managed care BI projects. Evaluated several bottleneck IT workflows and recommended adjustments by maximizing the efficiency and profitability for the facility.
• Made Managed care unit amongst the first to implement advance Analytics platform to integrate Decision support cubes with Visual Analytics (tableau) which leads to decrease the customer services calls volume to 40%, while boosting user volume above 50% that also help increased several other workforce efficiencies and helped identifying gaps.
• Successfully Architected, designed and implemented electronic document and record management system that cut the paper usage by 70%, bringing down overhead expenses by 50%, and increased productivity by 40%. Implemented web based electronic document retrieval processes within the Lutheran Health Network organization and saved paper cost by 100%.