Lead a time of R&D and productization across various alternative data sets.

Launch and actively teach the world’s first accredited Alternative Data course: Courant Master of Science Program in Mathematics in FinanceCreated strategic partnerships between NYU and vendors, including Decadata, Facteus and others.

Working with equity funds such as B.A.M. and Lone Pine in an R&D capacity to source and integrate alternative data into the investment process. Creating revenue models, cohort models, joining datasets and text mining with unstructured data using Python, R, SQL and stack of machine learning technologies. Architecting and deploying infrastructure and the ETL process using AWS or an in-house setup.Selection of datasets sourced and implementedCredit card dataWeb harvested – variousReceipt dataApp store and relatedTruck geolocationJob postings Building permitUrl clickstream Establishing compliance best practices for web crawling, data vendor evaluation and internal controls.Staffing and recruiting internal teams – job spec creation, screening candidates, interviewing and recommending hires.Sourcing - personally introducing the fund's data purchasing managers to alt. data vendors contacts.• Hired and managed a 15-person development team • Developed the majority of the Python and R code for ADG’s 2 key productso AI entity / ticker / identifier mapper API used by the majority of alt. data industry.o Panel Stabilization applicable using GAM neural networks.

Lead an alternative data product development and sourcing group creating new products for the institutional investment industry with datasets including credit card, gps and url clickstream.Alternative data product developmentData sourcingData evaluationApplication of machine learning technologies

Built a department to process unstructured Alternative Data into actionable products including: Signals for Quants, Metrics for Fundamental Investment Teams, internal R&D “quantamental” portfolio.Managed a team of 5 data scientists.onboarded data vendors in both technical and relationship standpointsHands-on involvement in the algorithmic and data process of product creation and portfolio construction. Key technologies implemented: Cloudera Hadoop, R, Python, Tableau, QlikView.

As a co-creator of the Consumer Research group at ITG, I am responsible for managing a team of talented and dedicated analysis to develop and produce syndicate market research products. I'm fortunate to work with great people, from my associates to management and our dedicated sales force and of course our clients which include the major wireless telecom OEMs and service platforms. Some of the work I've done that I'm particularly proud of is:+ Co-created and grew a market research business from zero to a net income profitable, seven figure revenue, position creating group+ Motivated my team to constantly innovate yet at the same time keep up with a brutal pace of syndicate research production+ Developed a successful line of syndicate wireless research products tracking device level volumes for all the leading OEMs in all major carriers in North America. Product became the "currency" at our clients' organizations + Worked closely with our insightful, tolerant and collaborative clients at the top handset OEMs and mobile platforms+ Helped source and negotiate proprietary data set partnerships+ Developed code using algorithms such as TFIDF, SVM, mixed mixture models (EM), PCA, density based clusters DBSCAN and tools such as R, extensive use of advanced SQL, Ruby, Perl, pivots and of course Excel to mine terabyte size unstructured data for product development

At Majestic Research I had the privilege of helping the R&D team explore and create new equity research products. Our team's goal was to first opportunistically acquire raw proprietary data which could serve as a base point of insight into a company or sector. Furthermore we would conduct accelerated fundamental research into the sector and finally use quantitative analysis and machine leaning to create data driven equity reports to help our clients gain insight beyond the traditional equity research paradigm. The products that our group created contributed to a major part of Majestic annual revenues. I've worked with top tier hedge fund clients to revise the product and create bespoke custom requests I've been lucky enough to develop products in the following sectors+ Video Games+ Homebuilders+ Consumer Discretionary+ Wireless Telecom - my work in wireless telecom eventually led to my co-creation of a wireless telecom market research group

Member of a small team that advised a Fortune Global 50 manufacturing company on a division-level valuations review to explore alliance, divestiture and restructuring alternatives. Contributed to all aspects of the valuations work including pitch presentation, DCF model, comparable company analysis, precedent transaction analysis and final presentation to the Board of Directors Worked with Cowen Capital Partners, an affiliated private equity firm to explore exit options for a specially materials portfolio company. Scenarios included an LBO, a strategic merger and a recapitalizationPerformed due diligence and modeling on a $385M concurrent equity and convertible debt offering

Led a cross-functional team of sales, marketing, development and QA to implement changes to the cash management system as a product managerConstructed profitability analysis, ROI, account usage models instrumental in growing the Bank’s wholesale electronic cash management line of business

Drove the inception of the company, assembled the core team of 5 and secured a patent for the Traffic Monitor™ on a shoestring budget of $30K Developed business plan, financial models and raised angel capital Liquidated company in 2003, sold IP to a rival firm which put the Traffic Monitor to market

Part of interdisciplinary development team involved long term program aimed at search performance improvement. Coded mainly Perl, Java, ASP