Candidates About

 

Jagannadha Kishore Paravastu  

Professional Summary:

·         Having overall Eleven Plus years of working experience on various IT Systems & application using open source technologies with good understanding of Big Data Technologies , Machine Learning, SDLC and  Project Management

·         Experience in P&C Insurance, Health Insurance, Healthcare products and Aerospace domains.

·         Experience in designing and developing application on Hadoop Stack using Java, Spark, PIG, HIVE, Mongo and Elastic Search

·         Strong knowledge on implementation of data processing on SPARK CORE using SPARK SQL, MLib  and Spark streaming

·         Experience in statistical analysis (descriptive, diagnostic, predictive and prescriptive analytics) and various Machine Learning algorithms using Excel, R and Weka.

·         In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS, Map Reduce and YARN concepts.

·         Experience in implementation of machine learning programs in Python, R and Scala

·         Hands-on experience on  various Hadoop distributions – Cloudera, Hortonworks and MapR

·         Experience in implementing POCs for Internet of Things (IoT) solutions (Logistic and Home Automation during Hackathons) on Arduino boards

·         Strong experience in full System Development Life Cycle (Analysis, Design, Development, Testing, Deployment and Support) in waterfall and Agile methodologies

·         Strong knowledge on python packages – Scikit-learn, NLTK

·         Strong knowledge on open source search technologies – Elastic Search, SOLR and Lucene

·         Excellent analytic, logical, programming and problem solving skills

·         Experience in developing SOAP and REST based Web Services design development.

·         A proven resource in defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines

·         Exposure to project / people management in Captive / Service environment and leading virtual teams across globe.

·         Passionate, flexible, collaborative, works independently, sets own goals and has a “can-do” positive attitude

 

Academics & Certifications:

·         Bachelor’s Degree in Computer Science and Engineering from JNTU

·         Cloudera Certified Developer for Apache Hadoop (CCDH)

·         Big Data Analytics and Optimization from Carnegie Mellon University

·         Certified for “Mongo DB for DBAs” from MongoDB University

·         ITIL 2011 V3 certified professional

 

Technical Skills

Big Data	Hadoop Stack: HDFS, MRV2(YARN), SQOOP, Flume, PIG and Hive SPARK: Spark Core, Spark Streaming, Spark SQL and MLib
Machine Learning	Prediction, Classification, Clustering and Time series algorithms
NoSQL	HBase and MongoDB
Programming Language	Java, Python, R and Scala
Analytics Tools	RStudio, Weka, Excel
RDBMS	MySQL, DB2 and Oracle
Reporting	Tableau, QlikView, D3JS and Excel

Client: Apple                                                                                                                                        Apr’16 – Till date

Role: Data Scientist

Project: Blue Sticker

Blue Sticker (shortened as BS) is a mandatory label required for each and every iPhone and 3G iPad sold & distributed in China including AppleCare. Chinese Government provides it free through controlled application process. Apple receives the printed BS and provides to each OEM as consigned production material. Shortage of BS QTY or late delivery will cause Production line-down and Pack-out delay therefore directly affecting Apple revenue & customer satisfaction. The objective of this project is to build Search, reporting and analytics platform for better tracking and forecasting the inventory.

 

Responsibilities:

·         Calculate Hadoop Storage for the project and deployed cluster in development environment.

·         Installation of various Hadoop ecosystem components.

·         Develop architecture for BlueSticker reporting and analytics.

·         Created pipelines for data ingestion and from various channels, through the scripts written in PIG & Java

·         Data is loaded into elastic search and mapping are indexing is created for quick retrieval.

·         Front end is developed in AngularJS and server side scripting is handled through Node JS.

·         Graphs are created in D3 for better visualizations.

·         Performed Researching and deploying new tools, frameworks and patterns to build a sustainable big data platform.

·         Worked with our Engineering partners to migrate approved Research artifacts into our Production environment

·         Supported Research artifacts that have been migrated into Production

 

Environment: Apache Hadoop Native, AngularJS, NodeJS, D3JS, Elastic Search, Kibana, PIG, Rest Services

 

Client: Honeywell Technology Solutions                                                                                    Oct’15 – Mar’16

Role: Technology Specialist – Data Scientist

Project: ASDI – Data Analytics

The Aircraft Situation Display to Industry (or ASDI) data stream is a service made available through the U.S. Department of Transportation's Volpe Transportation Center. The Federal Aviation Administration made the location of aircraft available to the airline industry. The ASDI stream consists of data elements, which show the position, and flight plans of all aircraft in U.S. The objective is to capture the streaming data and apply machine-learning algorithms for aero services programs in Research & Development area. Applying expertise in Hadoop/Spark eco system to build data pipelines, and perform data mining, and the presentation of data to see beyond the numbers and understand how our customers interact with our business products.

Responsibilities:

·         Designing and developing data ingestion, aggregation and advanced analytics in Hadoop environment from MySql and Oracle databases

·         Stream raw events of ASDI data from many sources using KAFKA

·         Identify Real-time KPIs, Statistical Analytics, Baselining and Notification for better Actions and Decisions

·         Writing programs in scala to run SPARK MLlib, for analytics.

·         Installations of eco system components on Hadoop cluster

·         Implementation if data analytics using machine learning algorithms

·         Writing pig scripts for ETL jobs, to acquire data from multiple sources and convert them into uniform format

·         Integrate Qlik view with hive for quick visualizations.

·         Performed Researching and deploying new tools, frameworks and patterns to build a sustainable big data platform.

·         Worked with our Engineering partners to migrate approved Research artifacts into our Production environment

·         Supported Research artifacts that have been migrated into Production

·         Involved in Designing, building, installing, configuring and supporting Hadoop.

·         Translated complex functional and technical requirements into detailed design.

·         Performed analysis of vast data stores and uncovers insights.

 

Environment: Hortonworks HDP 2.3.1, REST Services, Hadoop, Oracle, MySQL, SPARK, SCALA, XML and JSON.

 

Client: UnitedHealth Group                                                                                                       Jun ’13 – Apr’ 15                                                                                                    

Role: Sr. Hadoop Developer

Provider Search 2.0:

NDB provider search currently supports 33 applications (Internal and External), with 50 different flavors of Physician and Facility services. E&I, M&R, C&S AND Tricare are the main business segments supported by NDB. Currently, the number of search requests averages 600,000 per day which is much higher than its initial requirements of 40,000 searches per day. Increasing business need for more data, larger radius, in network providers for member / policy, pseudo claim contract selection and pricing have created limitations in the current infrastructure.

Responsibilities:

•        Actively involved in designing and developing data ingestion, aggregation, integration and advanced analytics in Hadoop, including Map Reduce, Pig/Hive and other NoSQL database

•        Writing of MR and SQOOP programs to ingest data from Mainframes and MySQL databases

·         Proactively engage with product and development teams to define next generation product features, specifications and requirements, and research on existing web technologies to design and implement these requirements

·         Performed data formatting involves cleaning up the data.

·         Designed and prepared technical specifications and guidelines.

·         Developed and maintained high performance, high-available, scalable data processing software frameworks and data models.

·         Validation of data integrity by running different API in ElasticSearch

·         Adopted best engineering practices and develop high quality maintainable code.

·         Contributed to Infrastructure planning and security definitions.

·         Evaluated alternatives, process requirements, and collaborate with rest of the team for effective solutions.

·         Delivered projects on-time and to specification with quality.

·         Worked with the Architects, BA and users to define and ingest data from various data sources, model the data as appropriate and process them efficiently.

 

Environment: HDFS, Map Reduce, Pig, Java, Hive, Mainframes, MySQL and ElasticSearch

                                                                                                        

Client: UnitedHealth Group                                                                                                                     Mar ’12 – Jun’ 13

Role: Technical Lead

HHS 835 Compliance – Payment Integrity:

The goal of this project is to develop software to view and print the Health Insurance Portability and Accountability Act (HIPAA) compliant 835 for professional providers and suppliers. Primary responsibilities of this role is to spearhead multiple projects under HHS 835 program with a team size of 27 members across globe. Monitoring the overall functioning of regressions, identifying improvement areas and implementing adequate measures to maximize customer satisfaction level. Preparing and reviewing PMR, SMR, OBR & other reports with a view to appraise team activities and assist in critical decision-making process. Managing & monitoring the performance of team members to ensure efficiency in quality deliverable of individual & group targets. Strengthen relationship with all teams and ensure proper stakeholder management.

Responsibilities:

•        Acquire, clean, integrate, analyze and interpret disparate datasets using a variety of geospatial and statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.

•        Accountable for designing and developing data ingestion, aggregation, integration and advanced analytics in Hadoop, including Map Reduce, Pig/Hive and other NoSQL databases

·         Performed data formatting involves cleaning up the data.

·         Designed and prepared technical specifications and guidelines.

·         Developed and maintained high performance, high-available, scalable data processing software frameworks and data models.

·         Adopted best engineering practices and develop high quality maintainable code.

·         Contributed to Infrastructure planning and security definitions.

·         Evaluated alternatives, process requirements, and collaborate with rest of the team for effective solutions.

·         Delivered projects on-time and to specification with quality.

·         Worked with the Architects, BA and users to define and ingest data from various data sources, model the data as appropriate and process them efficiently.

·         Strengthen relationship with all teams and ensure proper stakeholder management.

 

Environment: TOPS, COMET, COSMOS, CLAIMS HIGHWAY and PHS NICE. Mainframes DB2, ALM

 

Client: Thomson Reuters                                                                                                                             Jun ’08 – Mar’ 12

Role: Performance Analyst

Neofax_HL7 is a web service created for identifying HL7 messages and converts them into system understandable format. Neofax is an application which needs to be integrated with different HL7 based systems. This is a non-HL7 system. The service created is helps the Neofax application to understand the HL7 messages sent from other applications.

Responsibilities:

·         Data acquisition (streaming and batch) and Data aggregation from disparate systems

·         Analyzing data using Machine learning, statistical analysis, and time series analysis

·         Exposing data and results to consumers

·         Near-real time data science to inform and drive the cloud storage product

·         Analyze and document findings, providing recommendations based on issues found and potential operational impacts

·         Applying repeatable methodology towards analyzing software systems for performance bottlenecks and developing test plans.

·         Participate in product roadmap development, recommending improvements to core product offerings based on performance analysis findings

 

Environment: HP LoadRunner 9.1, Rally, Quality Center 9.2, VB. Net, PHP, Windows 2003 Server, ASP.Net, My SQL.

 

Client: CNA Insurance                                                                                                                                  Sep 06 – Jun 08

Guidewire Analyst

Guidewire Policy Center SP2:

CNA is the 7th largest U.S. commercial insurer and the 14th largest U.S. property & casualty insurer. CNA have five different work streams namely: Auto (BUA), Common, Connect (CNP), Umbrella (UMB) and Worker’s Compensation (WC). The System uses Guidewire Software that exclusively serves the P&C insurance. Implements the core systems on which insurance carriers run their businesses. Unlike the legacy systems they are designed to replace, Guidewire applications support the workflow, collaboration with external partners, and rule-based decision-making that characterize modern underwriting and claims operations.

 

Responsibilities:

•        Acquire, clean, integrate, analyze and interpret disparate datasets using a variety of geospatial and statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.

•        Collaborate with business analysts and data scientists in eliciting and articulating solution requirements

•        Design scalable data analytics platform and solutions

•        Make architectural decisions for the data analytics platform and solutions.

•        Assess, benchmark and select data analytics technologies

•        Recommends process improvements and works with process owners to determine and manage implementation strategy and roll-out when there were gaps I have identified in package delivery.

•        Analyze the technical and business requirements, including functional and non-functional requirements, to develop a systems solution.

Environment: Java, Team track, PVCS, Visio, Excel, Test Director, Mainframe CICS - DB2 and WebSphere

 

Client: 21^st Century Insurance                                                                                                                    Jan 05 – Sep 06

Senior Analyst/SME

Enterprise Billing (EB):

Enterprise Billing is a web-based application that deals with automobile Insurance. 21st Century Customer Service Representatives (CSRs) use this application for payment processing of auto insurance policies. The system has the capabilities to search for the existing customer, provide their billing summary and billing details, offer multiple payment plan option for its customers and display the Statement of Account summarizing the history of all transactions of a policy.

Responsibilities:

·         Experienced in methods of Data profiling and Data Cleansing

·         Collects, tracks and reports configuration management metrics and briefs senior leadership on status of CM within the program

·         Support other development/QA staff with specific subject matter expertise

·         Analyze data and do Root cause analysis

·         Working on RDBMS and ETL tools to build new attribute to data

·         Prepare and present data flow diagram and data quality standards and metrics.

·         Articulate technical specifications, business requirements and systems specifications

·         Translate highly complex technical issues to non-technical audience through "How To" documentations

 

Environment: Java, Visio, Excel, Test Director, Mainframe CICS - DB2 and WebSphere