EXECUTIVE SUMMARY

• A proven, trusted information technology leader and seasoned Data Scientist & Advanced Analytics Managing Architect with deep 20 years of progressive Information Technology experience managing large scale enterprise - wide “global” predictive analytics, machine learning, natural language processing and Advanced Analytics and Data Management Solutions initiatives leading Programs and Projects with Predictive Analytics, Big Data, Machine Learning, IoT, Cloud Solution Architecture, Business Intelligence, Data Warehouse and Master Data Management capabilities.
• Have proven leadership in running enterprise and consulting services driving value and meeting business initiatives for several large Tier 1 clients across various industries such as HealthCare, Financial Services, Pharmaceutical, Airlines (Travel), Public Sector, Federal, Telecommunication, Energy, Retail, Consumer Goods and Manufacturing.
• Results oriented, agile problem solver who enjoys developing highly scalable and efficient solutions. Currently focused on doing analytics on peta byte scale big data for a near-real-time system. Analytics purist who excels at providing teh data narrative to executives. Passionate about recruiting and developing talented minds.
• Exceptional record of accomplishment of leading large-scale, highly secured, high value business transformation projects across Fortune 100 Corporations in Analytics, Data Sciences, IoT, Cloud & Cyber Analytics.
• Experience with Data Sciences, Data Management, Application Management, Business Intelligence, Data Warehouse, Advanced Analytics & Cloud Architecture spans 20 years with strong management and architecture experience with P&L management, revenue forecasting and sales performance tracking.
• Hands-on experience with “big data” platforms and tools including data ingestion (batch & real time), transformation and delivery in Hadoop ecosystem (such as Hadoop, Pig, Hive, Flume, Ozie, Avro, YARN, Kafka, Storm and Apache Ni-Fi)
• Proficiency in R, PySpark, SparkR, Scala, Hive
• Top-producing technology executive with a track record of maximizing revenue opportunities within teh rapidly evolving Advanced Analytics and Cloud based technology market - as individual contributor and leader.
• A ‘get-it-done’ mentality and willingnesstowear many hatsinsupportofstrategicdirection; a positive, can-do attitude; abilitytoprioritize and managecriticalprojecttimelines in a fast-paced environment andtodevelop new approachesto complex projects
• Establish rapport and “trusted advisor” relationships with prospects and clients by working with authenticity and matching client needs to appropriate solutions to build long-term partnerships.
• Enthusiastic and passionate professional committed to being prepared, delivering consistently effective communications and exceeding client and peer expectations.
• Ability to translate complex products and concepts into easy-to-understand ideas.
• Expertise in multiple industry domains, marketing, communications and sales enables strong consultative guidance, teh comfort to challenge buyers and teh ability to solve problems on teh fly.
• Trusted thought leader and provides advisory service to Teh Big Data Institute which is a premier source of information for Big Data, Data Science and Advanced Analytics Senior Leadership and Practitioners.

TECHNICAL SKILLS

• Alteryx Designer, TensorFlow, Collibra, Statistica 13.2, SAS, Spotfire, Tableau, Hadoop, Map Reduce, Oozie, Pig, Hive, Sqoop, Avro, Yarn, No SQL, Amazon Web Service (AWS), EC2 Pentaho Kettle, R 3.0 Programming, Datameer, Rapidminer, Python, Icescrum, Basecamp, Hue, Spark, Storm, Pentaho Business Intelligence Suite
• MS Project 2010, MS Excel 2003, DataStage EE 7.1.5, SAP BW 3.1, Cognos Report Studio, SAP Business Objects XI 3.x Suite, ECC 6.0, BW 7. Teradata SQL, MS Business Scorecard Manager, Tibco Spotfire, MS Performance Point Server 2007, MS Sharepoint 2007, Sharepoint Portal, Brio, Hyperion performance Suite 8.3
• WebTrends, WebAnalytics, Site Advance, Clinicopia 3.2, Business Objects Xi,5.1.4, Designer5.1.4, Supervisor5.1.4, Broadcast Agent 5.1.4, Web Intelligence2.7, Taleo 6.1, SAP interface, Vignette 5.5/5.6 e-business suite, Informatica v7 / Metadata Exchange API, Microsoft .Net Studio, Source Forge, Eclipse, IBM WebSphere Commerce Suite 4.1
• Toad, SQL Navigator, LoadRunner4.0, Silknet, Visual InterDev, Vantive, Quattro Pro, Lotus 1-2-3, Crystal Reports 4.0, Visio 4.0, Winsock 1.1, Hummingbird Exceed, Web Intelligence, Publisher, Auditor. Peregrine Service Center, Remedy Help Desk 4.0.3, MKS defect tracker, Reflection 9.1, Documentum, TFS, File Aid, SDLC, PMBOK, Agile Scrum

PROFESSIONAL EXPERIENCE

Simple Analytics, Chicago, IL

Managing Partner, Data Sciences & Advanced Analytics Engineering

Responsibilities:

• Managing an industry-leading global Data Science and Analytics business unit delivering managed and consulting services.
• Structured and led data science and analytics teams to drive technology, address business issues, and ensure proper and rigorous applications of methodologies and tools.
• Applied AI and machine learning techniques for algorithmic trading, stock recommendation, and risk management.
• Taking businesses and technical skills and strategically transforming corporate environments to Digital, with teh highest-level client leadership to generate higher revenue, OI and ROI to win in their competitive market with an overture of Advanced Analytics, IoT, Data Sciences, Cloud Architectures, Cyber Security, advisement, and expertise.
• Established teh analytics talent strategy to achieve needed skillset for emerging data/technologies, agility and strengthen teh organization through leading teh acquisition, development and retention of talent.
• Established Data Sciences center of excellence (COE) footprint in North America and India and created operating model to provide exploratory data analysis support across various clients.
• Assist CIO to lead and participate in Enterprise Architectural decision-making process. Collaborate with Business Partners and Charter.
• Responsible for developing road-map and strategy of Enterprise Data Warehouse and Data Analytics
• Teh Analytics Team is composed of business analysts, data analysts, data scientists and data engineers dat embed within marketing, operations, product and sales to oversee Raise's end-to-end data efforts
• Collaborates with business executives and technologists to uncover valuable insights, leading conversationsaround metric-driven strategic business decisions on an organizational level
• Identify organizational KPI's, owner of monthly KPI and performance review with teh Executive team and Board
• Evangelize teh creation of automated data products and tools. Successfully championed for teh use of Data Science to reduce workload and increase efficiency (operational labor cost savings upwards of 60%). Product portfolio includes: proprietary fraud detection algorithm, automatic price prediction/recommendation engine, and customer ticket resolution engine.
• Partnered with Alteryx, Statistica, Collibra & Belladati to offer go to market solutions.
• Conducted Technology Evaluation sessions for Big Data, Data Governance, Hadoop and Amazon Web Services, Tableau and R, Python, TensorFlow, Data Analysis, Statistical Analysis, Data Driven Business Decision, Data Quality Analysis and Assurance and Cloud Computing and Software as a Service (SaaS) solutions
• Partner with data scientists and product management teams to recommend and prioritize roadmap of analytical product features and business adoption programs for Information Analytics and Innovation in support of various other businesses units.
• Expert in SDLC & Agile/Scrum Project Management methodologies
• Partner with data scientists and product management teams to recommend and prioritize roadmap of analytical product features and business adoption programs for Information Analytics and Innovation in support of various other businesses units.
• Key Client Engagements: Cisco, Confidential, Univ.Chicago Medical Centre, Ford, AbbVie, Excellus, Sear Holdings, etc.

Confidential, Chicago, IL

Practice Director, Advanced Analytics & Data Sciences

Responsibilities:

• Spearheaded teh company technology and made use of analytics insights to derive value, resulting in compelling corporate growth opportunities.
• Partnered with executives of business functions (product, marketing, sales) in terms of productization, developing business plans/ roadmaps for research, development, design, and implementation.
• Devised and instituted core and proprietary machine learning-based technologies for behavioral analytics, which led to highly competitive self-learning solutions to detect and prevent frauds.
• Championed a data-driven culture and provide analytics thought leadership to teh organization and Serve as SME with thorough Analytics noledge
• Manage and develop an Analytics team of Data Scientists, Data Management & Data Integration Consultants: (TEMPPrincipals, Architects, Sr. Managers, Managers, Consultants); capability to inspire and motivate a high performing team
• Introduce Analytics offerings using TensorFlow for Large -Scale Machine Learning on Heterogeneous Distributed Systems
• Systematic advancement of analytic functions including teh development and execution of teh analytics strategy and innovation roadmap
• Working on AI Predictive Analytics Models with industry differentiators and serving as a subject matter expert with thorough understanding of Confidential Analytics Consulting offerings and delivery capabilities with Deep Learning, Cyber Analytics, IoT Analytics.
• Developed a standard, reproducible solution for on - premise Analytics in A Box offering composed of core components include a Hadoop stack (HDFS, Hive on Tez, Spark, and supporting tools and platforms) plus a Hadoop management server, Zoom Data, R Studio, Talend and optional extensions or add-ons.
• Provide guidance on data infrastructure and logic to ensure platform is scalable for continued growth
• Create Innovative Data Strategy: Finding key insights in disparate datasets including leads, consumer transactions, website engagement, search patterns, customer segmentations.
• Enable Advanced Analytics Modeling with existing proprietary models and identify additional modeling opportunities to propel teh company forward in acquisition, retention, and attribution
• Strategically constructed Bayesian graphic models for day trading of stocks and commodities.
• Efficiently developed reinforcement learning-based high frequency trading (HFT) models to trade foreign exchange (FX)
• Built senior level advisory relationships with new and existing Confidential Analytics clients and convert these relationships into long term projects in Analytics.
• Leverage a unique and disciplined approach to developing new business in support of aggressive growth plans developing strategic plans for new business opportunities, market expansion, and product development.
• Assist in teh recruitment, development, and mentoring of new associates in teh Analytics consulting practice.
• Work collaboratively with Confidential internal organization and external partners globally to operate effectively.
• Working with Global Portfolio Solutions in driving Innovation to resolve business challenges and sharing opportunities with our customers.
• Establish and maintain clear communication channels with teh between teh consulting staff, account teams and clients by improving Bottom Line Improvement, Customer Satisfaction, and Employee Engagement.
• Key Client Engagements: DHS, IRS, SOMOS, GSA, AMGEN, Microsoft, Amazon, Sparks Energy, NVIDIA, Regeneron, Microsoft, Disney

Confidential, Chicago, IL

Managing Director, Advanced Analytics & Data Sciences

Responsibilities:

• Established a platform for center of data innovation excellence for best practice sharing across teh organization.
• Worked with Confidential ’s clients, global account portfolio team, sales teams, solution architects and Confidential ’s R&D engineering as well as channel partners/subcontractors to provide consulting services delivering differentiated solutions and compelling business value dat exceed client expectations and contractual obligations.
• Substantially increased Confidential ’s market share, brand and client awareness of Confidential ’s Advanced Analytics Services and served in an advisory capacity for Analytics Services Consulting to Confidential ’s external clients and internal organizations. Leveraged deep understanding of application consulting to forge new client relationships and initiate new service offerings.
• Led teh implementation of analytics culture throughout teh entire company, identifying data science projects/innovations dat address high-impact business challenges and opportunities. In one example, teh gap between customer acquisitions to deployment was reduced from 9+ months to 2 weeks.
• Envisioned, designed, and implemented a technology roadmap toward IoT Analytics, developing channel agnostic predictive modeling technologies, and moving from point solution to integrated platform.
• Led teh development of machine learning algorithms to keenly track and identify anomaly in teh performance of engineering systems.
• Build and Expand Professional Services Business Unit supporting Confidential ’s Statistica platform in a high-growth Big Data & Advanced Analytics global marketplace and serve as a key subject matter expert with thorough understanding of Analytics Consulting offerings and delivery capabilities.
• Delivered prescriptive and actionable insights to over varied client teams daily through automation analytics with large team of Data Scientists, SME’s, Statisticians, Data Engineers & BI Architects
• Advise and help collaborate professional services across Confidential with various business units including Statistica Big Data Analytics, Data Watch, Boomi Cloud Data Integration and Toad family of products in delivering services to build disruptive/new, transformative offers such as IOT and Predictive Analytics delivering unprecedented strategic value
• Deliver turn-key Advanced Analytics service offerings by managing relationship with channel partners across multiple client industries including Pharmaceutical, Manufacturing, Retail, Financial Services, Healthcare, Public Sector, Technology, Telecommunications, and Transportation. Directly participate on consulting assignments and interactions with teh client
• Maintain risk/reward and ROI balance on all Statistica customer engagements within teh Big Data market to ensure teh highest profitability at teh lowest risk and strengthen teh practice’s solution branding and IP creation progressively.
• Partner with Executive Leadership, Account Executive's, Sales Engineering, Product Management, Legal/Contract Management, Inside Sales and Data Scientists to drive cost-effective consultative services to Confidential ’s Enterprise Customers
• Lead, manage and coordinate large team of Data Scientists, SME’s, Statisticians, Data Engineers & BI Architects to provide advisory solutions across all aspects of Analytics services.
• Key Client Engagements: Caterpillar, John Deere, Starbucks, Lockheed, Nike, Pepsi Co, Pfizer, Sanofi, Biogen, Merck, GSK, Tweddle, Telenor, De La Rue, PCC Structural, City of Dallas, Cisco, CGI, Honeywell, Emerson, Intel, RCR, Tenet Healthcare, University of Iowa Med. Centre, Royal Bank of Canada, Flowserve, NSA, Solar Turbines, etc.

Confidential, Itasca, IL

Division Manager - Enterprise Data Warehouse

Responsibilities:

• Responsible for shaping and managing teh Enterprise Data Warehouse and Business Intelligence (BI) strategy, roadmap and provide oversight for successful delivery of program/project initiatives and charters.
• Responsible for strategic technology decisions and collaborate closely with teh CIO on product vision, Enterprise Wide Data Architecture and Program Delivery.
• Establish Process & Communication in aligning teh Enterprise DW & BI strategy with key business initiatives and goals within corporate landscape.
• Managing all aspects of maintaining teh architecture for Foundational Data Initiative dat support Consumer Insights, Marketing Analytics and Campaign Management.
• Partner with technology and labor vendors and partners to maximize effectiveness of enterprise data warehouse delivery.
• Provides oversight to both capital as well as operational budgets in teh development of an enterprise data warehouse and associated data marts to support scorecards, BI dashboards, reporting and in-depth analytics.
• Implement Data governance for teh functional area to ensure reliable and repeatable BI capabilities.
• Bringing out order from within chaos with team management, architecture, delivery process and managing time sensitive projects catering to all level of management cross-functionally.
• Manage entire DW/BI Onsite Onshore & Offshore resources (Perficient, China Global Delivery, Mindtree India and Broomfield, Colorado) for teh company and motivating teams to maximize potential.
• Own entire gamut of DW/BI technologies including SAP's Business Objects suite of products, SSIS, SSRS, Roam BI, Tableau, SQL Server, MySQL, Sharepoint and other enabling BI technology toolsets.
• Big Data, Web Analytics (using and building systems like Google analytics) manage teh Information Management platform for teh company. dis encompasses teh definition, architecture, and implementation of Operational Data Stores, Data Marts, Data Governance, Data Quality and Metadata strategy.
• Provide leadership of complex data management initiatives such as Platform Upgrade, KPI/Dashboard Automation, and Airline Data Availability for major airline partners such as US Airways, Delta.
• Drive prioritization and resource management Enterprise wide for Data Warehouse and BI. area(s)

Confidential, IL Director

Data Analytics Technology Services

Responsibilities:

• Assisted with teh creation of our Hadoop platform, and ingestion of data.
• Explored teh opportunities with Hadoop and analytics as both AXA and teh industry continue to address higher volumes and availability of structured and unstructured data.
• Manage large scale technology program execution. Programs are defined as high cost, high complexity and/or high risk dat require in depth noledge across multiple technical areas and business segments.
• Manage large scale technology program execution. Programs are defined as high cost, high complexity and/or high risk dat require in depth noledge across multiple technical areas and business segments.
• Ensure Technology Delivery Excellence standards have met by identifying potential risks, analyzing costs vs. benefits, and potential impact on operations associated with new technologies, products, and services.
• Engage on several technology initiatives such as BI, Clinical Assessment, Analytics, Data Management, Product Development, Risk, HealthCare Cloud Computing and relevant initiatives
• Develop, mentor and retain staff through on-boarding, open communication, training and development opportunities and performance management processes; building and maintaining employee morale and motivation; ensuring teh team is appropriately staffed with required competencies; fostering a diverse and inclusive workplace
• Provide strategic input to teh development of program roadmap and timelines. Participate in senior level program funding, capital budget and prioritization process
• Facilitate development of business segment and enterprise level planning and program objective setting by identifying opportunities for sales and business development collaboration within and across business segments
• Working with a long-term perspective, execute and oversee processes to meet client/customer needs.
• Identify client needs and tailor sales messages, SOW's, SLA's, LOE's towards delivery growth.

Confidential, Oak Brook, IL

TEMPPrincipal

Responsibilities:

• Represented Business Intelligence & Data management practice in North America region, having responsibilities - top line revenue, profitable growth, business development, customer relationship management, solution selling, sales & account planning, working with alliance partners and analyst community
• Helped several clients across various industries to gain competitive advantage and increase their speed and accuracy of decision making, using business intelligence solutions such as integrated analytics, architecture and delivery management
• Successfully managed implementing multi-terabyte data warehouse program, with a team of over 20 blended resources consultants and staff with program costs greater TEMPthan $2-5 million.
• Managed Web, Data Warehouse/ Business Intelligence teams. Technologies include Business Objects, COGNOS, Informatica, DataStage, Pentaho, Tivoli, J2EE and Microsoft based solutions.
• Oversaw delivery of key project life cycle deliverables such as use cases, functional documents, activity diagrams, technical design documents, ETL specifications, Report specifications, test cases
• Acted as teh lead business contact and statistics reporter of teh Master Data Management system.
• Conducted a POC with 5 leading data visualization companies, eventually procuring Tableau, making it available to teh business.
• Created dashboards and data statistics for SIOs and CTO on a weekly and monthly basis, showing teh current state of teh data.

Confidential, Chicago, IL

Manager, HealthCare Information Management Consulting

Responsibilities:

• Represented and Lead teh Business Intelligence Roadmap Strategy definition for many large clients. Successfully presented recommendations to Senior Leadership/CIO’s.
• As a Subject Matter Advisor and Project manager, helped define and kick-start Enterprise Business Intelligence Program Roadmap Strategy including EDM, MDM and ETL approach.
• As Solution Architect, helped define major Consumer Products Company’s post-merger Data Warehouse/ Master Data Integration approach. Reviewed strategy of product suites for data warehouse, ETL and Business Intelligence reporting for a large Consumer Products company.
• As an IT Project Manager, led large team of consultants for a large foundational BI implementation for one of teh largest HealthCare client.
• Managed SAP Business Objects EDW/ EBI work from vision to deployment for multiple releases and multiple clients for Confidential Customer Contact BPO Services.
• Performed roadmap assessment at major retail company.
• Assessed and recommended improvements to Data Warehouse Architecture for many large clients
• Managed and developed successful winning Business Intelligence proposal for financial data warehouse/ executive dashboards.
• Test Lead for 10 member onsite/ offshore team of SAP Implementation in consumer goods client
• Managed scope and vendor selection for major electronic retailer’s data security project.
• Taught BI project management fundamentals to 10 students within Confidential .
• Industries: Healthcare Payor, Financial Services, Retail, Manufacturing Travel
• Directly involved with hiring and recruiting of BI consultants to teh Information Management Practice.