Dan Grigorovici
| Headline: | Entrepreneur |
| Skills: | Engineering, HTML / CSS, Javascript, Languages and Platforms, Perl, Python, Software Engineering, SQL, System Administration, Web Development |
| Interested in: | Brainstorming, Finding business partners, Finding cofounders, Finding team mates, Meeting new people, Professional opportunities, Promoting my startups, Recruiting for my startup |
| Schools: | Pennsylvania State University |
WORK EXPERIENCE
| Employer: | AOL/Tacoda |
| Position: | Vice President, Data Strategy & Analytics |
| Time period: | October 2007 - Present |
| Description: | • Hired specifically with the mandate to raise the level of analytics in the company and establish a best-in-class department, process for reporting and operational analytics (EDM), working closely/directing Product Management, Engineering, and outsourced development resources to drive analytically-driven operational processes in areas of predictive segmentation, targeting, personalization
• Created entirely new department (hired staff, established process/protocol, roadmap): Data Strategy & Analytics, by using a best-in-class/”Center of Excellence” model, covering the full knowledge generation lifecycle: data/OLAP/BI design for reporting, market/pre-sales analysis, campaign performance analysis, data enrichment, data mining/machine learning • Evolved/expanded solution set to meet the needs of unique industry segments for core, growth, and emerging markets and our supply chain • Developed a Unified Data Model across the enterprise, data enrichment and collection in new environments, classification, management, data payments, and modeling • Full project lifecycle (standard business user information needs analysis/requirements gathering, KPI audit, vendor selection, information architecture, OLAP/BI architecture and design) and ownership of deployment of new enterprise-wide BI platform across all external and internal clients • Designed and deployed successful cross-company collaboration process framework (AOL, Tacoda, Platform A, Ad.com, etc.) to support maximum efficiency and inter-operability of analytical infrastructure and resources. • Owner of internal data policy/standards for data quality, analysis, consumption • Developed integrated, automated data reporting solutions and user modeling techniques for segmentation, targeting and personalization |
| Employer: | Disruptive Logic |
| Position: | President, Co-founder |
| Time period: | January 2007 - Present |
| Description: | • Early stage startup in the Semantic Web consumer space
• Technology using multirelational data mining and machine learning on ontology graph/relational data structures • Patented technology, architected and designed the system • Set up a best-in-class team - business and technical teams with top IT, machine learning, and semantic web specialists |
| Employer: | Digitas |
| Position: | Vice President / Associate Director, Strategy & Analytics |
| Time period: | January 2007 - October 2007 |
| Description: | • Led team of advanced analytics resources in client-facing projects for Fortune 100 clients: American Express, Intercontinental Hotels Group, Pfizer, etc.
• Re-engineering team and reduced personnel burnout/turnover rate by: identifying process bottlenecks, raising found issues to executive management regarding sub-optimal efficiency and sources of employee dissatisfaction, designing standard process and adopting an analytical “Center of Excellence’ model • Frequently evaluated vendors for product development, data capture, etc. • Supported the integration of online and offline data for new methodologies in behavioral and lifestyle/aspirational segmentation. Other duties included structured testing and predictive modeling of integrated customer and online user data. • Led best-in-class analytical projects with new methodologies, data integration, etc.: o Designed and performed analysis for a 360 degree multidimensional analysis of financial service customers, by integrating online ad serving data, customer surveys, site-side analytics log files, and financial transactional database to evaluate impact of online activity to actual purchase behavior changes over time, segmentation and profiling of customers/loyalty, using Structural Equation Modeling techniques o Designed and implemented structured testing multivariate testing (fractional factorial) to test, design and analyze (via ANCOVA, MANCOVA analyses) most effective offer/promotion/customer/channel mixes as part of real-time analytics-driven operational processes (with real-time model scoring) o Applied CRM data mining methodologies to online log file/clickstream data for visitor behavioral segmentation o Developed classification tree-based predictive models of customer aspirational segmentation and assessed future spend behavior, market opportunity, etc. |
| Employer: | Carat Fusion |
| Position: | Associate Director, Data Intelligence |
| Time period: | January 2005 - January 2007 |
| Description: | • Created a new analytics department structure by re-engineering existing resources and adding new capabilities.
• Improved acquisition effectiveness more than 50%, and increased retention by diversifying service offerings and deliverables • Developed a single but scalable BI reporting automation solution based on multi-layered reporting infrastructure for multiple and diverse internal and external audiences • Adopted and implemented database marketing and integrated channel marketing solutions (EMM, MRM) • Spearheaded the development of a marketing and media mix modeling standard service offering • Project management experience – strong advocate of an Agile software development lifecycle approach to marketing analytics process (via advocating for operationally analytical output as processes and not mere products) • Up and cross selling (strong FTE and departmental revenue organic growth), and new client acquisition • Established independent analytics revenue stream • Developed database and ETL/data integration design and automation solutions • Strong advocate of holistic, data integration solutions for multiple clients • Structurally reshaped departmental processes and roles for maximum workflow effectiveness • Created enterprise-wide analytics workflow protocol and implemented standard project management approach to processes (vendors, clients, analytical team, other company service lines) |
| Employer: | Fastclick, Inc. |
| Position: | Manager, Market Research |
| Time period: | January 2004 - December 2005 |
| Description: | • Built a stable and effective analytics department and developed business process streamlining solutions, from the ground up
• Established streamlined quarterly report process to assess the effect of customer churn on business and provide recommendations to executive team on potential solutions • Provided and developed in-house streamlined customer data collection & survey solution to continually gather customer insights that drive product development and marketing communications. • Developed CRM, user behavioral profiling and ad serving data integration solution over cross-functional departments (integrated syndicated, ad serving, CRM data flows to build a campaign effectiveness predictive tool based on multidimensional traffic segmentation models) • Provided product development requirements and directed Software Development and Product Development in the implementation of the campaign effectiveness automation tool • Provided marketing analytics automation solutions for using market analytics data feedback into online ad campaign targeting & optimization via data mining & forecasting models • Ensured appropriate use of analytic techniques to determine demand for products and services. • Supervised development of metrics and analytical strategies • Interpreted and predicted consumer trends, formulated research and development proposals, and monitored research projects • Competitive benchmarking to assess relative campaign performance on advertiser ROI • Market and customer segmentation to identify growth opportunities – direct input into product development • Established corporate research knowledge capital in current data-poor sectors • Published corporate white papers in Online Advertising campaign planning, targeting, optimization |
| Employer: | IBM Global Services |
| Position: | Market Research Analyst |
| Time period: | January 2003 - December 2004 |
| Description: | • Market Research, Business and Competitive Intelligence (data mining, primary and secondary market and statistical research on IT development in E-business and E-learning, analysis, reporting) supporting business strategy for new, data-poor, model-lacking service lines
• Developed and applied new metrics using advanced multivariate statistical modeling techniques, to assess IT-intensity at corporate, national, global levels for E-Business and E-learning strategies • Conceptualization, data mining, and statistical data analysis on competitor analysis of learning outsourcing market, with focus on e-learning outsourcing. • Conceptualization, data source identification and data collection, data mining • Proposed model and analysis tool for projecting country and business sector-level opportunities for the advancement of formal and informal, total (instructor-led, e-learning, and blended learning) learning opportunity at the level of workforce development initiatives • Delivered an e Analysis Tool (multidimensional decision model containing sizing, growth rate, and e-learning readiness constructs to assist in prioritizing projected assessments of opportunities) |
| Employer: | Institute for Information Policy, eBusiness Research Center Pennsylvania State University |
| Position: | Research Fellow |
| Time period: | January 2001 - December 2004 |
| Description: | • Funded Project: Information indicators and technology readiness indices (development of a measurement index for IT development and penetration across sectors)
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| Employer: | Media Effects Research Lab, Pennsylvania State University |
| Position: | Principal, Research Assistant |
| Time period: | January 2001 - December 2003 |
| Description: | • Primary research (experimental design, survey design, data collection, analysis and reporting) involving social and psychological effects of User Interfaces, Interactive Advertising, Emerging technologies.
• Multimodal Web Interface Design using 3D interfaces • Information Architecture for advertising and content websites • Full analytics process lifecycle development to study and model online advertising campaign effectiveness drivers |
| Employer: | Ogilvy & Mather |
| Position: | Marketing Research Analyst |
| Time period: | January 1999 - December 2001 |
| Description: | • Identification of market opportunities, competitive analyses, target market analyses, segmentation, targeting, positioning strategies, alignment of Integrated Marketing Communication strategies and campaigns to business and marketing objectives
* Advertising and PR campaign creative planning and delivery across media |
EDUCATION
| University: | Pennsylvania State University |
INFORMATION
| Awards: | • Invited to speak at numerous Direct and Interactive Marketing conferences in the U.S. and Europe
• Selected Patents and Publications section below. Full list available on request. • Received full private funding (IBM) for original project to develop predictive and decision measurement model for macro-level e-readiness • Deep industry leadership networking, and member with active participation in top industry organizations in the data management, BI, analysis (statistical and machine learning) communities • Frequently cited by industry leaders in professional research • Original author of multiple book chapters and professional journal articles in methodology, marketing analytics, Interactive and Multi-Channel Marketing |
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Kieran O'Neill
Bermudian, 21, startup founder living in London, working on web apps and enjoying life. Working on third company.