matt kleiman

* Design and manage client-facing reporting for over 100 active iAd campaigns * Develop ad unit optimization strategies for Fortune 1000 clients in order to drive renewals and increase user interaction within ad unit * Build internal reports with actionable recommendations on network and campaign performance in order to benchmark positive trending and provide Sales team with context for renewals * Consult with Engineering and Ad Design team in order to streamline ad unit tagging and analytics, thus improving client reporting and allowing more frequent optimizations * Perform high-level analyses of KPIs in order to chart positive effects of network and creative optimizations * Extract and analyze data from Business Intelligence and transaction-level MySQL databases in order to build management presentations for client companies, facilitating the renewal process for the Apple Sales team. * Develop project management tool for iAd Reporting team which provides workflow transparency and tracking across Engineering, Sales, and Executive management

* Research mobile devices, improve metrics for device reporting * Spearhead testing on innovative new “pointroll” and expandable ads * Made suggestions for engineers to integrate into Quattro’s front-end portal

* Predicted deterioration of customer financial health to help PNC Bank manage relationships. * Implemented an event and pattern detection algorithm in Python in order to detect financial * health instability among PNC customers.

* Built report pages for an iOS application used by Credit Suisse’s clients and bankers to evaluate fixed income and derivatives markets. * Utilized SDLC lifecycle and MVC design pattern to build a component of an iOS application used to increase senior banker productivity. * Researched how specific Machine Learning techniques such as Principle Component Analysis are utilized in researching and analyzing fixed income investments.

* Used Python to build attribution models to evaluate ad placements and marketing channels for new Legal Service products. * Implemented accurate anomaly detection systems to monitor product releases in order to improve the quality of incoming data and detect early trends in user behavior. * Created experiment to estimate value of conversions, yielding an improved pricing model for ad network. * Built interactive Tableau dashboards that gave Product team high-level overview of KPIs.