Responsibilites included Building a World Class Team, Change Management, Scaling Operations through Automation, Increasing Product Penetration, Product Management, P&L duties

Joined R&D team early on in startup phase. Had immediate responsibilities to improve campaign performance. In programmatic buying, this includes optimizing what domains get bought across which ad-exchanges, at what price, at what time of day, to which sort of person in order to ultimately get the best performance for the client. The last year has been focused on performing analysis and presenting results of closed loop measurement studies to strategic clients.Projects include: Eliminating wasteful spend on exchanges where an auction won would result in no ad being displayed.Building algorithm that calculates trade area based on store locations and proximity to other stores in order to serve ads only in relevant areas around store locations. Designing experiments to vet the quality (multiple metrics) of thousands of domains with the aid of third party verification services. Work with engineers to design and test in house ad-viewability tracker in order to inform optimization engine. Help design and build the analytical functions behind company’s business intelligence tool in order to provide insights to customers. Responsibilities include: Evaluating external data sources for validity and usability and determining value of integration.Developing prototypes for use cases of external data sources and working with engineering teams to develop into full blown products.Performing ad hoc analysis for any potential problem observed in a campaign.Coordinating with technical teams at clients to extract large amounts of data to fulfill measurement needs.Setting up appropriate tests to determine effect of advertising campaigns.Delivering results and insights to clients from junior to senior levels.Technical experience:HIVE (HQL) for big data extracts and manipulationSQL (postgres) for data extraction and manipulation as well as elementary analysisPython (IPython Notebooks) and R for more advanced analysisExcel and Powerpoint as needed

Work experience includes data analysis, generation of high level management reports for clients,building income and various other statistical models. Developing scorecards specifically targeting response variables. Comparing and aligning credit bureau scores. Validation of risk scorecards for the banking industry. Clients include Clothing Retailers, Telecommunications Marketers, Furniture Retailers, Financial Services and Call Centers.Responsibilities (including but not limited to):• Client Relationship: Liaising with clients in order to assess needs Setting up project timelines and process flows Collecting data from necessary sources Delivering output to clients Presenting results to top level management • Innovation: Searching for improvements in current processes of clients Developing ideas for joint ventures with strategic partners • Analytics: Generating reports with regards to operations, marketing, collections etc. Building scorecards Response scorecards Behaviour scorecards Scorecard validation Credit score alignments Statistical model building • Consulting: Document and evaluate operations and strategy for clients Developing reporting packs Training staff • IT support: Managing server and user accounts Acquiring new hardware Providing desktop support inside company • Training: Developing coursework material Presenting coursework material to clients and junior staff Mentoring junior staff