SUMMARY

• Solutions - driven Business Intelligence Analyst with more than 8 years of demonstrated experience engaging business intelligence, data management, and process improvement tools. Adept at partnering with teams and diverse stakeholders and leading them through all phases, from exploration to delivering solutions involving various data-driven methodologies and technologies.
• Demonstrated ability to analyze complex business intelligence issues, offering actionable solutions for driving operational enhancements and enterprise growth through strategic data-driven decisions.
• Experienced in the implementation of business processes and management information systems while developing and supporting innovative methodologies for ensuring trusted and reliable data capturing and analysis.
• Ability to employ different suitable data processing methodologies to extract, transform and load data for analysis, reporting, and visualization to support scheduled, event-driven, or stakeholders’ request reports to support decisions of ongoing projects
• Ability to connect Business Intelligence (BI) like MS Power BI and Tableau and Data Analytics like SQL, SAS, Python, and R tools to connect data from different sources, importing data and transforming data to actionable Business Intelligence reports.
• Ability to make DAX queries in MS Power BI, use advanced level precise calculations in data set to enhance reports and visualizations of the desired visual reports, dashboards, and KPI scorecards or reports.
• Adept at leading teams to adapt and adopt improved methods for analyzing data that will lead to the implementation of enhanced business process flows, resulting in improved efficiency & productivity to support business sustainability.
• Adept at leading teams to adapt and adopt improved methods for analyzing data that will lead to the implementation of enhanced business process flows, resulting in improved efficiency & productivity to support business sustainability.
• Proven expertise in the development and maintenance of database systems, supported by a Masters in Data Analytics, an MBA, and a Graduate Certificate in Business Data Analytics.

TECHNICAL SKILLS

Modeling Tools: Rational Requisite-Pro, UML, MS Visio, Rational Rose, Mockup Screens, DecisionsFirst

Methodologies/Frameworks: SDLC, Waterfall, Agile/Scrum/RUP

ERP Systems: MS Dynamics, Jenzabar, Workday, Campus Management

Data Tools: MS SQL Server, Azure, MS Access, SQL, Tableau, IBM Cognos, IBM Watson Analytics, Power BI, SAS, R, Python

Documentation: Slack, GitHub, MarkdownPad, Jira, SharePoint, Nintex

Project Management: MS Project professional, ASANA

PROFESSIONAL EXPERIENCE

Confidential, Reston, Virginia

Data Scientist Consultant

Responsibilities:

• Communicate with stakeholders and other collaborators of the project regarding data management issues and defining and reviewing all edit-checks included in the Data Validation Plan per company policy.
• Creates data analysis and analytics pipelines that improve the underlying ML algorithms and the product and the user's experience.
• Responsible for designing data modeling processes to create algorithms and predictive models that fit the purpose and perform custom analysis
• Contact data validation, including automatic and manual data inspections, data discrepancies/deficiencies review and resolution, query generation and resolution, feedback to stakeholders and data project teams regarding the quality of data
• Develops, generates, and analyzes project progress and metric reports, reporting a summary of findings and remediation activities, as required, stakeholders, project team, and Sponsor
• Works with data science team, machine learning engineers, prominent data specialists planning projects, and building analytics models, leveraging on large volumes of data from diverse sources in a variety of forms
• Responsible for spotting and managing data development challenges in the organization, proffering suggestions, and deploying data science solutions.
• Responsible for influencing the adoption of useful data-driven hygiene, including the creation, redesign, and maintenance of analytics dashboards and BI tools such as Power BI, Tableau, SQL, and employing advanced programming languages like Python and R in the data process.
• Responsible for leading the development, operation, and maintenance of methodologies that help drive product offerings, including applying statistical modeling and time-series analysis techniques to build company-specific or market metric/KPI predictions.

Confidential, Alexandria, Virginia

BI Developer

Responsibilities:

• Supports the United States Army Office of Business Transformation (OBT).
• Updates Data Repository/Data Lake with data from different domains as per the requirement.
• Creates reports for different stakeholders in support of the ongoing projects and business requirements.
• Creates data analytics and reports to supports decisions for high-priority initiatives involving ongoing data migration.
• Creates and manages schedule and event-driven reports as per stakeholders' business requirements.
• Collaborates with different subject matter experts (SMEs) to fulfill business requirements in support of OBT decision-makers’ ongoing projects.

Confidential

Business Intelligence Developer

Responsibilities:

• Worked as the Confidential Shared Services EPMO Business Process and Data Analyst. Led all data collects processes and performed complex data analysis in support of company and customer requests.
• Conducted data mining, cleansing, modeling, manipulation, statistical analysis, business intelligence gathering, trending and benchmarking while drawing evidence conclusions. Provided recommendations based on data validation, by precisely using Microsoft Power BI and Tableau, Python, R, and SQL.
• Maintained strategically built relationships with operating companies and internal departments to determine effective methods of collection, analysis, visualization, and data reporting through the use of Microsoft Power BI
• Employed Power BI and SQL to create scheduled or event-driven reports to support stakeholders’ decision-making requirements and supporting the ongoing projects
• Offered process improvement recommendations that increase operational efficiency and improve policy development strategies
• Employed data acquisition experience to efficiently collect, organize, and conduct complex analysis of datasets in support of customer requests, providing reports and predictive models to outline best practices for business processes
• Provided evidence-based recommendations for improving business process systems through complex research methods including intelligence gathering, data profiling, modeling, manipulating, statistical analysis, and benchmarking
• Served as a business process and data science subject matter expert offering data validation and acceptance testing recommendations in support of system enhancements, technical support, and data quality management
• Engaged consulting and leadership experience to provide training, professional development, and technical support to less experienced staff in support of strategic and tactical data-driven objectives
• Collaborated with cross-departmental leadership, subject matter experts, and end-users to establish innovative strategies for data analytics in support of high-priority IT and product development initiatives that engage improved customer service, organizational restructuring, and process reengineering
• Identified best practices for optimizing business processes through automated workflows that support data management and business intelligence decision
• Led operations research, testing, and analytics of business tools, technologies, and new processes to errors and enhancing efficiency.
• Partnered with internal leadership and BRIE to design and build improved database architecture using Azure, converting internal processes to 100% data-driven decision making
• Led and supported internal framework, employing data governance to ensure achievement of set goals while maintaining integrity, quality, and security of data flow