Big Data, IOT, Data Architect & Program Manager Resume

SUMMARY:

Lead the Transition & standardization of AI / ML & platforms (Patagonia) to the Confidential grid consisting of more that 1000 node clusters, functions include data governance, Legal Privacy & infrastructure architecture and building operation support model.
Developed neural network model, to classify the possibility of a Confidential t falling under certain DRG classification (SEPSIS, prediction) by using revenue data & in a cluster computing big data platform. Institute processes, data governance to support this deployment and scale to accommodate multiple use cases.
Architected and delivered a Data Monetization solution to aggregate data from various sources and derive relevant use cases for an advertising platform. Use cases were derived by enhancing data using external data. Appropriate beacons were deployed to acquire data from respective systems. Delivered a working solution and prototype within 90 days. Technology solution consisted of a Big Data Platform and systems.
Architected deployment of a churn analytic engine, using a home grown XDF framework built a churn analysis (propensity score) report indicating accounts with a higher probability of churning, Appropriate modelling tools were used to build the solution. Solution provides an end to end dynamic production ready platform using elastic search as a rendering background. This system improved customer retention by 30% and improved
Key evangelist in fostering innovation within the company proposing multiple POC using NLP, document tracking platform. Collaborated with key stake holders and business partners to develop relevant use cases and validate business cases and solutions. Solutions such as 1. IOT solutions to synchronize data from multiple sensors and platform. 2. Key word searches for high value contractual document predicting the outcome of a contract, etc.…
Built a team of 20+ in the Data science, Big Data platform consisting of Statisticians, (Ph.D), Big Data architects, and developers in record time. Augmented with contractors to bring product to production readiness within 6 months in a 100 Node Big Data cluster computing environment. Modelling consisted of Descriptive statistics, Neural Networks built using a MATLAB environment.
Led data standardization, adoption & governance in enterprise to bring in both structured and unstructured data into a common big data platform using Hadoop technologies such as KAFKA, FLUME & SQOOP etc.…
Architected, Design and launched Enterprise Service Bus a SOA based middleware, with IBM WebSphere as the solution product to streamline data from 12 different IT support platforms to improve mobile device launch timeline from 18 months to 180 days, this was a $20 MM enterprise wide initiative.
Assisted Digital Technology Leadership in discovering, documenting and analyzing various products and services Operations &Technical Services provides in the new innovative technology spaces such as IOT, Sensor Data and Drones.
Collaborated with Product Owners/Managers in developing a product vision and execution strategy. Worked with technical teams across the organization to refine agile development methodologies.
Managed a team of Product Analysts to support ‘Strategic Analytics’ and develop Product Intelligence roadmap, modelling the business value of products and features to support the prioritization and planning process.

TECHNICAL SKILLS:

TECHNOLOGY SKILL: CLOUDERA / MAPR - HADOOP OOZIE / PIG / HIVE / DRILL NEURAL NETWORKS DATA ANALYSIS, MINING JAVA / J2EE / EJB UNIX, SQL HL7 IOT / DATA MANAGEMENT PYTHON BAYESIAN ALGORITHMS ORACLE / MYSQL / MONGO BI, ANALYTICS DATA ARCHITECTURE ICD-10 AWS - REDSHIFT STATISTICAL MODELLING REGRESSION, DECISION TREE MDM IBM INFOSHPERE DATA MART, ETL FRAMEWORK MACHINE LEARNING CONCEPTS EDI ANSI X12 DOMAIN EXPERTISE TELECOM MOBILE - DIGITAL RETAIL/SUPPLY CHAIN HEALTHCARE

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