SUMMARY:

Over eighteen years IT experience, leading Digital predictive analytics on Consumer navigation patterns, Create architecture for Reporting on model based resolutions, Strategize prevention and identify potential fraud behavior profiles, Integrate and establish online sales metrics for performance evaluation, Harvest over 50 terabyte of digital data - - mining for classification and correlation, Establish cutting edge technologies to build consumer profiles, Architect and implement BI environments for reporting and forecasting, Lead complex projects harnessing unstructured and structured data to support data Science and predictive analytics projects.

COMPETENCIES:

Digital Business Architecture | Large-Scale BI Roadmaps & Planning | Strategic Planning & Tactical Execution | Data Mining | Predictive Analytics Relationship Management | Big Data Analytics | Cross-Functional Collaboration |Management Consulting | Team Development | Architecture Reporting | Data Science | Machine Learning.

TECHNICAL SKILLS:

Analytics/Statistical: Tableau 8.3, 9.2; 10.2, 10.5; EMR; Crystal Reports; Clarity; SAS; SAS, SAS/Macro, SAS Enterprise Guide 5.7.

Big Data/ Data Science: Hadoop, Ominiture, WCS, Adobe and Python 3.5, Git-Hub, Anaconda, Spyder, Azure ML Studio, H2O Flow.

Cognos Tools: Cognos Administration; Cognos 10.2.2, 8.4, FM, Power Play, Studios Analysis, Report and Query Studios.

Databases: Oracle 10g, 11g2, Access, Teradata, Netezza, HP Vertica and ER Win.

MSBI: MS SQL Server 2016, PLSQL. SSIS, SSRS, VBA, MS suite MS Visio, Excel, Access, Power-BI, Power Point.

Quality Analysis: HP ALM, Data Profiling, Test Scripts, Use-Cases, User Stories.

PROFESSIONAL EXPERIENCE:

Sr. Data Scientist/Consultant

Confidential

Responsibilities:

• Manage projects that builds models to prioritize critical SNI patents services needs that lead to turnover, lower Net provider score and user acceptance score. Created POC to show case model based solutions to evangelize Analytics capabilities.
• Created POC on Churn of GOV. products based on navigation bottle-necks (Nav4Me) products. Used python and Azure ML Studio.
• Consult with data scientists, IT and business on building models, scoring models, policy and product related definitions and control project deliverable.
• Random Forests, SVM, Naive Bayes, KNN - Split, Cross Validation, model fitting, confusion matrix, ROC and Tableau based dashboarding.
• Create data-flow diagrams - process decks, model diagrams, Micro-population definitions and other decks.
• Current year—8k reached, claim denials down 33% and $4.8 mil OOP savings, proactive interventions led to better service navigation and resolutions.
• Create POC using Azure ML Studio, Weka, and H2O-Flow for micro-population prioritization.

Tableau Architect

Confidential

Responsibilities:

• Catastrophic patient migration, revisits, comorbidity scores analysis and prevention metrics.
• Create tabular/grid reports my markets, to present weekly KPI for 12 metrics with period-over-period change percentages, by dimensions.
• Created Dashboards for Digital data for Market Services with over 40 major metrics spread out into 8 dashboards, by executive view.
• Created end to end solutions architecture and deployment strategy, including the metadata and establish security.
• Created complex dashboards with Tableau LOD, Action Filters, dynamic Measures/Dimensions, tabbed reports and professional reporting approach.
• Created metrics for Pharmacy by Patient, Service, Medication, Department, Encounter, Payer, Orders - Source, Department, Class, .etc. Drill capabilities with summary to detail by various metrics being evaluated. Pharmacy Metrics by Department, time and 20 other metrics on Clarity data (EMR) and Caboodle.

Technologies used: SQL Server Clarity, Aginity, Netezza for Data modelling and Tableau for presentation and server.

Fraud Strategy and Analytics

Confidential, IL

Responsibilities:

• Real-time analytics solutions leveraging traditional and advance analytics platforms including Big Data (Hive), data visualization and streaming & edge analytics with Tableau Desktop. Advanced Semantic Design for Scoring and evaluating Risk scores.
• Review freeze polices ACH blocks and filters, risk score projections to new and existing customers, risk assessment policy implementation, identify immediate freeze reason codes, evaluate false positives, identify high risk accounts/transactions and dispatch findings to review by Fraud Unit and engage in both model building and evaluating existing models on Threat-Metrix captured data. Developing account level, device level decision frameworks to support business strategies working closely with a broad range of business partners. SAS based K-means Clustering for Classification.
• Evaluate fraud strategy and data to formulate policies based on recommendations and historical profiles created against confirmed fraud accounts. Create reports from user navigation on Discover, evaluate metrics and identify hybrid customer, fracture customer profiles and investigate suspicious activity and classify and simulate fraud triggering rules on transactions creating rule based tables to support Strategies.
• Created supervised models based on confirmed Fraud data, Random Forests (Gradient) and SMV - splitting test train, Cross validation methods, confusion Matrix, model fitting, ROC, model evaluation.
• Performed data analysis to create rules and statistical model to identify instances of account takeover while minimizing falls-positives and negative impact on customer experience and operational capacity. Enhanced authentication methods, managed high risk activities and mitigated account takeover fraud. Use First Data transactions for metrics on overdrafts, fee transactions.
• Establish fraud analytics and business processes best practice framework from extracting data based on statistical analysis from Hadoop, manipulate data using SAS and loading data to Sandbox to be evaluated and move to production.
• Developed Freeze, Application, risk scores and rule based fraud prevention strategies week over week comparative reports; Created metadata for Tableau Desktop Reporting with 70 calculations like - Last (Freeze, Overdrafts, risk score changes) dates, unfunded Accounts strategies, Evaluate withdrawals against previous top 5 and many fields to provide pre-calculated metrics, in Teradata.

Technologies used: Teradata, SAS, Tableau, SAS Data Miner and EG.

Analytics & BI, SME Online Digital Analysis

Confidential, Atlanta, GA

Responsibilities:

• Evaluated discount performance with reference to layered price lists, price change on existing and new customers.
• Channel performance, Customer Segments affinity scores, campaign response rate, propensity-to-buy model and optimal ROI support data metrics.
• Derive insights and ingest Adobe/Omniture data for Digital Content, Campaign, Analytics, Sales Funnel analytics and BI. Part of Center of Excellence on over 20 Terabyte data creating data structures to support online sales and integrate with Teradata EDW.
• Model data for reporting on rules for discounts based on performance on price changes, holiday sales, vendor discounts and associate past gross margins, length of time metrics, profits, sales volume fluctuations, model-based pricing and create profiles on discounted products.
• Loyalty Programs Enrollment, Adobe Analytics, SAS, Tableau --Develop Visualizations in tableau and Power-Pivot efforts to define, design, develop, deliver and support effective dashboard reporting (KPIs) for the Pricing Analytics team, Inter-Day reporting on Discount and promotions in the realm of cognitive computing. Brand Loyalty, Affinity Scores, Funnel Analytics, Discount and promotions based on distribution/vendor mark downs. Store activities, stocking and allocation metrics, Catastrophic monitoring reporting and rules and dashboards.
• Use cases, UML, UAT, status reports, daily Sprints,

Technologies used: SQL Server 2014, Teradata, Tableau 9.3, SAS, Stored procedure.

Consultant Clinical Reporting

Confidential, Atlanta, GA

Responsibilities:

• Time series Analysis - Doctor’s office visit processes time analysis, metrics on doctor’s time, patient time and nurse time.
• Logistic Regression model to identify high-risk patients that would become hypoglycemic without timely intervention. The risk model has additional deterministic rules.

Technologies used: Clarity, Crystal Reports, Tableau, Clarity, Netezza, SQL Server.

Consultant - Predictive Digital Analytics

Confidential, Atlanta, GA

Responsibilities:

• Click Stream for Online Analytics, Quantitative and Statistical analysis. Create metrics on Request Response, Click through Rate, Average Response Time Campaign Analysis, data sample, cluster analysis.
• Statistical methods: distributions, experimental design, variance analysis, A/B testing, association rule, linear and non-linear regression
• Application Establish Reporting environment for reporting on web traffic on modeled recommendations, click through rates, Request-Response, Campaign Analysis, Churn Analytics, Market Segment based response evaluation, Call Volume Reduction Strategies and Store Sales for Predictive Analytics initiative using Power-Pivot and Tableau.
• Tableau Server installation, SMAL setup, Tableau Configuration with PostgreSQL Apache and memory allocation.
• Establish deep dive analysis of project drivers. Manage offshore deliverable and support. Drive global and regional consistency with regards to primary and secondary research, marketing mix, discrete choice and other advance analytics statistical models.

Technologies used: Tableau, SAS, Cognos, Power Pivot, HP Vertica, Teradata, MongoDB, SQL Server 2012.

Sr. Business Intelligence Consultant

Confidential, Downers Grove, IL

Responsibilities:

• SAS & Cognos Executive Summary Employer Reporting Present trends, anomalies fraud and performance analysis.
• Fraud, network Utilization Analytics, using Cluster, Regression and Anova Models.
• Analyze volatility changes as compared to percentage changes in Claim Statistics and present top and bottom extremities and claim cost movements historical vs. current cost, create use cases and support applied analytics on HEDIS data for patient care operations, population health and improvement.
• Led integration of raw data into single SAS DataMart for advanced analytics and deep dives data analysis, reducing analysis time by 50%. Architect reporting environment for Employer self-service - Member deductible, Member Share, and Scripts Count, Days supplies, Average Subscribers Members and extracting data from Teradata.
• Create requirement document for data migration, conduct meetings with stakeholders, interpret business and schema relations, identify business processes and establish Staging Store house and HIPAA Audit and ICD-9 and ICD-10 codes (diagnosis, procedure (CPT), laboratory (LOINC), revenue (CMS-1450), and drug (NDC) and HEDIS related data.

Technologies Used: Netezza, SAS EG 2.5, SQL Server 2008, Oracle 11g, Cognos 8.4, Toad.