SUMMARY:

• Dynamic, results - oriented leader providing oversight to high-impact analytics, big data science, business intelligence, data warehouse, predictive analysis, statistical analysis, and data visualization projects for B2C and B2B environments.
• Develop analytical plans for research and analysis, including algorithm selection, data mining, advanced probability and statistics, program design, selection of statistical methods, model development, and presentation format.
• Provide executive leadership team with insights and supporting analytics, data visualizations and action-oriented recommendations to improve performance across different lines of business and product/service lines.
• 10+ years’ experience implementing analytics and business intelligence (BI-EDW) enterprise data warehousing projects in fast-paced retail, distribution, technology, government and client-facing consulting organizations.
• Excellent communication and presentation skills with stakeholders across all levels. Quickly establish rapport with thinkers, decision-makers and leaders at all levels of the business. Develop relationships and executive buy-in through selling the vision. Deliver interactive presentations and workshops (Proof of Concepts, Demos, Blueprint and ).

FUNCTIONAL AND TECHNICAL SKILLS:

• Build complex predictive models with accuracy over 90%. Perform statistical analysis and regression to evaluate key drivers for operational and financial performance, predict outcomes, and identify critical insights.
• Enterprise data visualization for important KPIs - including revenue, profitability (P&L), FI-CO, service predictor, consumer segment, marketing campaign, sales enablement, inventory, warehouse and product availability.
• Expert in open source analytical software (Python, R, SAS for exploratory data analysis, advanced statistical analysis, predictive modeling, machine learning) development; SQL data extraction and manipulation, data set preparation, data cleansing and consolidation mechanism.
• Advanced user of MS Excel (pivot tables and macros, regression, business modeling, forecasting, data analysis), MS PowerPoint (animation, layers, embedded multimedia), Visio (process flow diagrams, data models), SharePoint (site management, traffic history, version control), MS Project (scheduling and tracking), and OneNote.
• Skilled in developing and applying univariate/multivariate modeling techniques and hypothesis testing methods.
• Design complex functional data models based on requirements and integration with different business units, from load specification to source data capture into meaningful uses for internal and external customers.
• Vendor coordination with end-to-end application/software development of Business Intelligence (BI) solutions using SAP Business Objects, Tableau, QlikView, Cognos, MicroStrategy, Hadoop, Spark and MapReduce platforms.

PROFESSIONAL EXPERIENCE:

Confidential, Falls Church, VA

Data Scientist (Web Analytics)

Responsibilities:

• Perform A|B and multivariate testing, evaluate results and guide product owners, project manager and web development team in selection of best-performing options for website enhancements (change requests).
• Design and deliver interactive dashboards and data visualizations to illustrate web visitor usage patterns, behavioral issues and predict site demand levels. Evaluate site performance for multiple .gov domains.
• Perform Extract-Transform-Load (ETL) activities for data capture mechanism using integrated services.
• Communicate findings to product owners and evaluate options to improve website user experience.

Environment: MS Office, Project, Visio, SharePoint, R, Tableau, JIRA, Oracle and SQL Server

Confidential, Chicago, IL

Sr. Data Scientist (Business Analytics)

Responsibilities:

• Hands-on developer and principal oversight for data vision strategy, improving data quality, data governance, data cleansing, master data management and preparation for data science projects. Implementation and refinement of advanced statistical methods (random forest, linear/logistic regression, machine learning), results preparation, verification of accuracy of results.
• Lead, design, plan and execute programming approaches to support a wide range of analytical projects, including performance dashboards using Tableau, data visualization, advanced statistical analysis, predictive modeling and business intelligence (BI) reports.
• Evaluated hypotheses and test using robust data models developed in R. Performed regression analysis and developed predictive models to guide strategic planning for improvement of Operation units nationwide.
• Designed and implemented data visualization dashboard (predictive analytics) tool for C-suite executives to identify conversion challenges and strategies to drive stronger conversion (direct P&L impact).
• Developed demand forecasting models incorporating results of advanced statistical analyses to improve on forecasting accuracy, optimize resource allocation strategy for peak demand periods and products, and reduce cost overruns.
• Lead teams delivering end-to-end BI projects, creating new ad hoc reports and performance dashboards from enterprise data warehouse (functional data models) for different business units.
• Established KPIs, evaluated reporting/analytics requirements and lead projects with hands-on analysis and modeling. Guided analysts in building complex data models to predict business outcomes.
• Provided continuous flow of data-driven consumer behavior insights and performance reporting to leadership team to help improve quality, reduce cost, enhance BI capabilities, and deliver continued growth. Leveraged statistical and machine learning methods to optimize analytics and improve business outcomes.
• Performed Extraction, Transformation, Delta Loads (ETL) activities using SQL-based tools for data acquisition.
• Leveraged strong cross-functional relationships with stakeholders from IT, Sales, marketing, merchandising, finance, vendors and customer service to facilitate understanding and drive strategic business decisions.
• Developed and optimized models and algorithms, engaged software engineers to implement and productize.
• Managed internal talent and vendor resources. Recruited, mentored and coached resources in all aspects of data science, modeling, reporting design and effective presentations.
• Coordinated with scrum master, monitored daily sprint progress, and maintained deployed overall health metrics for BI applications in a performance dashboard.
• Managed communications with IT to sustain production support of application server and database periodic maintenance activities.
• Maintained compliance by creating process documents, artifacts, test scenarios, and release notes.

Environment: MS Office, Project, SharePoint, Tableau, R, Hadoop, Teradata, Oracle and SQL Server

Confidential, Round Rock, TX

Big Data Consultant (Ecommerce Analytics)

Responsibilities:

• Enhanced strategic data quality using advanced data cleansing mechanisms to improve performance indicators (click-through rate, revenue, AOV, margin, lead generation), boost the consumer UX and improve online profitability. Increased consumer traffic 12% and contributed to 3% NPS score increase.
• Provided robust testing metrics and reporting on A|B and multivariate tests in ecommerce platforms for multiple internal business units. Translated test results and site user behaviors into actionable insights to improve site performance, profitability and generate repeat business.
• Developed cluster analysis, logistic/linear regression, collaborative filtering, and linear optimization to address an array of tactical and strategic objectives in big data environment.
• Ensured BI tools were fully leveraged to provide insights needed to drive performance. Worked closely with technology partners to manage analytical environment, acquire data sets and develop QlikView apps.
• Designed and delivered executive presentations and conducted workshops to brief online analytical solutions to leadership team. Prepared demos and proof-of-concept with real time dataset.

Environment: MS Office, Project, SharePoint, QlikView, SAS, Remedy, Hadoop, Oracle and SQL Server

Confidential, Vernon Hills, IL

Sr. Data Analyst (BI-CRM)

Responsibilities:

• Supervised staff of 4-6 analysts throughout BI/EDW project life cycle (data preparation, extraction, analysis, modeling, testing, documentation, and presentation). Coached direct and non-direct reports in effective communication, leadership and tactfully holding colleagues accountable.
• Delivered ad hoc reports, dashboards, and performance visualizations from product, marketing, site, and customer perspectives. Built functional data models to convert raw source data into actionable insights.
• Designed business intelligence (performance dashboards using COGNOS tool) on product/market trends, key customer solutions initiatives and opportunities to support corporate revenue and profit margin goals.
• Interacted with cross-functional teams to identify prime targets, product messaging and best-in-class offers to build frequency, capture new business, increase account penetration, SOW and profitability.
• Built and maintained relationships with leaders across multiple departments and external vendor partners.

Environment: MS Office, Project, SharePoint, Cognos, Java, SAS, QTP, AS/400, Oracle and SQL Server