Lead Business Analyst /Data Scientist Resume

TECHNICAL SKILLS

Machine Learning
Data Mining
Advanced Analytics
Natural Language Processing
Statistics and Probability
Data Visualization
Python, R, SQL

PROFESSIONAL EXPERIENCE

Lead Business Analyst /Data Scientist

Confidential

Responsibilities:

Worked with Key stakeholders to identify Sales management team’s business needs and to determine scope of project
Created project documents such as project charter, BRD, project success criteria, status reports and project success criteria
Worked with product owners to prioritize user stories given available resources
Wrote users stories to define data Exploration, data cleanup, data transformation on customer sales, address, product information for data integration into Anaplan modeling application
Captured requirements as epics, features and user stories
Managed and groomed backlog
Facilitated scrum meetings such as daily standups, sprint planning, backlog grooming and retrospectives
Facilitated status meetings
Technical environment included Microsoft SQL Server, SAP Hana, Tableau, Power BI. Visio, Power Point, Visual Studio, Rally,Jira

Lead Business Analyst /Data Scientist

Confidential

Responsibilities:

Worked with Key stakeholders to Confidential team identify business needs and to determine scope of project
Gathered requirements for Confidential Modeling - Contracts, Revenue Management (Agency, Sales Commission), and CRM Projects (leads, build relationships with Customers, Contracts)
Gathered KPIs requirements for Confidential Modeling Contract Dashboards and reports
Wrote users stories to define data Exploration, data cleanup, data transformation on customer sales, address, product information for data integration into Anaplan modeling application
Wrote elicited requirements as epics, features, user stories (data req, Modeling, what if scenario)
Worked with product owners to prioritize user stories given available resources
Wrote business requirements, architecture and process flow documents
Facilitated project meetings, wrote project status and meeting notes
Developed project and business and plans
Facilitated Scrum ceremonies, daily standup, reviews, retrospective, sprint planning meeting and back log refinements

Lead Business Analyst /Data Scientist

Confidential

Responsibilities:

Worked with Key stakeholders to identify business needs and to determine scope of project (build customer data warehouse for use in identifying new customers, retention, converting new to existing getting old customers back) using data, models, i.e. forecasts, profile, segmentation.
Collaborated with Scrum team (developers, business analyst, quality assurance, product owner scrum master) business products managers to provide solutions aligned with business needs.
Elicited and gathered requirements for Enterprise Customer Master Database and Marketing reports
Wrote elicited requirements as user stories, wrote business requirements documents
Created risk register to track risks and issues
Maintained/ groomed Product backlog stored in Rally/CA Technologies
Wrote SQL Using Microsoft SQL Server Management Studio to Verify and Validate solutions to ensure that customer requirements were meant
Performed data Exploration, data cleanup, data transformation on customer address information for data integration into customer data warehouse as well data analysis to identify trends in customer purchasing and classify customers into lifestyle segments
Performed data Mining to conduct predictive and classification analysis on customer and product data
Wrote user test cases. Tested Trillium customer match / merge process
Participated in Scrum/Agile ceremonies, back log refinement, daily scrums, sprint planning, sprint review and retrospective. Big Room quarterly planning, identified risk, dependencies, and assumption
Technical environment included Teradata, Microsoft SQL Server, Tableau, Visio, Power Point, CA/Rally

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