PROFESSIONAL EXPERIENCE:

TECHNICAL PRODUCT OWNER

Confidential

Responsibilities:

• Collaborate with scrum masters, technical leads, product owners, project managers, and third parties to groom backlog and plan sprints.
• Create and maintain Product backlog with Product vision in focus.
• Attend and facilitate the various Scrum ceremonies to keep the team in alignment with Product and Solution Roadmap.
• Agile Technical Product Owner role on geographically distributed scrum/Kanban delivery teams.
• Execute SQL Queries, Stored procedures, functions, packages, tables, views, triggers using Oracle SQL
• Skilled in VLOOKUP formula development, Pivot Table generation, and Pivot reporting in Excel.
• Created and maintained the solution vision, roadmap, and backlog of work through the project's life cycle.
• Define Scrum Team’s backlog, plan iterations, participate in PI Planning ceremony and contribute to
• Maintain the Scrum Team’s Sprint and product backlog and adjust them based on the reviews/
• Regularly demonstrate the Scrum Team’s sprint incremental development during the System Demo that occurs every two weeks with the stakeholders and the business members in the Agile Release Train (ART).
• Successfully led a Scrum team of 10 and implemented a Tableau project resulting in more than
• $6 Million in savings and increased turnaround time from 3 weeks to 5 minutes (approximately).
• Excellent competency in project management tools (JIRA, Confluence, etc.)
• Proven ability to handle competing demands and multiple, changing deadlines.
• Used regular expressions, text parsing, and data mining techniques to search for defined data patterns within millions of claim lines and within unstructured raw claims data from multiple businesses.
• Hands on experience in Global Data Formats (GDFs), Common Data Structure/ Format (CDS/ CDF) in
• Data Lake (Azure - Hadoop) to structure data from multiple schemas/entities/businesses.
• Familiar with Master Data Management, Entity Resolution processes in healthcare entities’ data like Member, Coverage, Providers, Clearing houses, Claims, encounters, Long term care etc.
• Experience in Waterfall, Agile Scrum & Kanban SDLC methodologies.
• Act as a strong liaison between Product Management, Product Owners and development to ensure a transparent and productive workflow environment.
• Drive the development of and continued improvements to the automation framework(s).
• Maintain/update system data flow chart, Heat Maps, Tree Maps, Visio documents, and system documentations.
• Used DDL, DML and DCL commands in Impala, Oracle SQL developer, MS SQL Server etc
• Work with Clients, user groups to analyse requirements and proposed changes in design and specifications.
• Created mockup diagrams using MS VISIO and provided the screen shots replicating the changes to the User Interface (UI) as per the requirements.
• Review all the systems design by assuring adherence to defined requirements, decompose features to user stories, clearly written acceptance criteria, formally accept user stories etc.
• Product and project management skills including requirements elicitation, documentation, planning and tracking project through the entire product lifecycle.
• Excellent team collaboration skills and effective communication with internal and external business and technical stakeholders.

BUSINESS ANALYST

Confidential

Responsibilities:

• Prepared Business Requirements Document (BRD) by gathering requirements from all the stakeholders; translated BRD to Functional Specifications Document (FSD) and created prototypes.
• Facilitated pre-planning meetings, demos and daily stand ups.
• Experience in Medicaid, Medicare, HIPAA standards and various EDI transaction sets like 837P, 837D, 837I, 276/277 & X12 5010 formats etc.
• Performed Exploratory Data Analysis on claims data for predicting claim adjudication status using
• Performed data cleaning, transformation and loading for the various subsystems using python.
• Created mass adjustments for various Medicaid & Medicare Claims and part of the claims adjudication process using Pro*c, Sqlplus, Oracle 11g, UNIX etc.
• Created pivot tables and charts using worksheet data and external resources, modified pivot tables, sorted items and group data, and refreshed and formatted pivot tables.
• Familiar with the various subsystems in the MMIS system like Claims, Long Term Care, HMO, Pharmacy etc.
• Facilitated JAD sessions, daily scrum meetings and conducted peer review conferences sporadically to keep track of projects goal.
• Identified the Data Attributes for the data required by the users & developed the Data Mapping & Dictionaries.
• Tracked daily issues and dependencies and coordinated with the team to work on the impediment list.
• Coordinated with development team to help them better understand the requirements.
• Assisted Project Manager during the inception phase to create the project scope, charter, and initiation documentation.
• Worked with change control board to initiate/manage Change Requests.
• Good understanding of healthcare industry claims management process, Medicaid (MMIS), Medicare Services and insurance sector.
• Conducted multiple levels of testing like regression, unit, functional and user acceptance to verify theclient’s needs are met.
• Used MS Visio for flow-charts, process model and architectural design of the application.
• Experience in all phases of software development life cycle (SDLC) i.e., requirement gathering, requirement analysis, design, define test cases, development, unit test and maintenance.
• Experience in SDLC development methodologies like Agile, Scrum and Waterfall.
• Excellent communication, interpersonal, analytical skills, and strong ability to manage and motivate the team.

DATA INTERN

Confidential

Responsibilities:

• Executed SQL Queries, Stored procedures, functions, packages, tables, views, triggers using Oracle SQL Developer for ad hoc tasks.
• Designed and populated specific tables, databases for collection, tracking and reporting of data using SQL.
• Hands on experience in various algorithms in ML Regression, Clustering etc. using Python, R & Tableau for advanced visualizations.
• Develop and maintain sales reporting using in MS Excel queries, SQL in SQL Developer, and MS Access.
• Used regular expressions, text parsing, and data mining techniques to search for defined data patterns.
• Performed Data Analysis and Data validation by writing SQL queries and Regular expressions.
• Extracted, cleansed data (Munging) and manipulated datasets as needed for reporting and forecasting analysis.
• Worked extensively with UNIX and LINUX to view the data for analysis.
• Maintained/updated system data flow chart, Heat Maps, Tree Maps, Visio documents, and system documentations.

BUSINESS/ DATA ANALYST

Confidential

Responsibilities:

• Involved in requirement gathering, analysis of the requirements from the business owners and users.
• Conducted a detailed Gap Analysis to provide Impact Assessment on various departments across the enterprise.
• Created data cleansing, data quality check strategies based upon analysis of complex business requirements.
• Interacted with users for verifying user requirements, managing change control process, updating existing documentation.
• Writing complex SQL queries using joins, sub queries and correlated sub queries to retrieve data from the database using SQL Developer that was used further for data mining.
• Analysed reports and fixed bugs in stored procedures and Used DDL, DML and DCL commands in Oracle SQL developer.
• Interpreted raw data using a variety of tools (Python, R, Excel), algorithms, and statistical/ econometric models.
• Performed Data Cleaning, Feature selection using WEKA, Excel. Reduced Dimensionality for datasets using PCA.
• Documented all programs and procedures to ensure an accurate historical record of work completed and to improve quality and efficiency.
• Wrote ETL scripts in Python/SQL for extraction and validating the data.
• Reviewed all the systems design by assuring adherence to defined requirements.
• Met with user groups to analyse requirements and proposed changes in design and specifications.
• Flat file conversion from the data warehouse scenario.
• Pre-processed MNIST data using nltk, numpy & pandas package.
• Multilayer Perceptron with Feed Forward and Backward Propagation was implemented fully using
• Addressed overfitting and underfitting by tuning the hyper parameter of the algorithm and by using L1 and L2 Regularization and the accuracy (92%) with results visualized in Tableau Dashboards and Workbook.
• Document Images were denoised using OpenCV2, img and Pil packages in Python.
• Text Detection, Rotation, Deskewing were some of the pre-processing tasks performed.
• Pre Processed images were then fed into the Pytesseract (TesseractOCR) for OCR. Languages -
• Tweets were collected using TwitterR Package in R - 1000’s of tweets per day for a couple of weeksto amass data for better analysis and insights.
• Used tm, ggplot2, Shiny, jsonlite, sqlite3, scrapy etc for analysis and visualization in Tableau.
• Trends - Most tweeted hashtag of the week, tweet with the highest number of retweets, popular celebrity of the week.
• NY real estate and SUNY UB Class Schedule dataset were used for mining various insights.
• Pandas, dplyr, tidyr were used for data pre-processing.
• Data analysis was done using Hadoop MapReduce and Data Visualization in Tableau, Rshiny.
• Trends - Most populated but least expensive borough, Least Scheduled Classroom during Spring in 30 years.
• Image Data Collection was done from various Health care facilities & UCI ML Repository.
• Data Combining, cleaning and transforming were done by using SqlAlchemy, Oracle 10g, Pandas.
• Levenberg - Marquardt Back Propagation & Resilient Back Propagation algorithms were used for Classification using NN Toolbox in MATLAB with 94% accuracy with visualization using Power BI.

TECHNICAL SKILLS

Programming Languages: Python, R, UNIX, SQL, C, Pro*c

Databases: Hadoop Impala/ Hive, SQL Developer, Oracle 10g/11 g

Tools: Tableau (Desktop, Reader, Public, Server), WEKA, MS Office, Autosys, JIRA

IDE: Anaconda, Jupyter Notebook, R Studio, Eclipse, Visual Studio

Version Control: VCTL, Git

Web Technologies: HTML5, CSS3, JavaScript, XML, JSON SDLC Methodologies Agile, Scrum, Kanban, Waterfall