Lee Carlin
About
Lee Carlin is from New York, New York, United States. Lee works in the following industries: "Research". Lee is currently Senior Director Data Science at AdTheorent, located in Greater New York City Area. Lee also works as Senior Data Scientist at AdTheorent, a job Lee has held since Dec 2016. In Lee's previous role as a Data Scientist at AdTheorent, Lee worked in Greater New York City Area until Dec 2016. Prior to joining AdTheorent, Lee was a Junior Economist at Bank of Israel (Central Bank) and held the position of Junior Economist at Jerusalem, Israel. Prior to that, Lee was a Graduate Research Assistant at Economic Dep., The Hebrew University, based in Jerusalem, Israel from Jul 2013 to Aug 2014. Lee started working as Research Assistant at Center for Research on Environmental Decisions / Columbia University Business School in New York, NY in Sep 2009. From Jun 2010 to Aug 2010, Lee was Financial Analyst Intern, Risk Management and Futures Market Department at Meitav, based in Tel Aviv, Israel. Prior to that, Lee was a Credit and Business Analyst Intern at Hapoalim Securities USA, based in New York, NY from May 2008 to Mar 2009.
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Lee Carlin's current jobs
• Researching, developing and leading all the Data Science aspects of the Cross Environment Map, a vast graph database that employs unsupervised machine learning to gather multiple sources of big data into a single hub for zero lag insights. • Taking a lead role in assessing the validity and predictive power of numerous internal and external data sources for creating and maintaining data infrastructure to be used in research. • Collaborating and working with various groups within and outside of the company to achieve goals and inform stakeholders of strategic decision making. • Leveraging and developing innovative machine learning and data mining technologies for solving novel and diverse sets of problems. Developing long-range strategy and products for future business needs and applications.
Lee Carlin's past jobs
• Developed and improved innovative solutions to the problems posed by high-dimensional, high-frequency, real-time data throughout the entire life cycle of research, analysis, model development and model production. • Manipulated and analyzed high volume of real-time bidding (RTB) data in order to identify relationships and trends. • Built autonomous predictive models using machine learning algorithms to optimize mobile advertising campaigns. • Communicated and visualized results of statistical analyses to both technical and non-technical colleagues.
• Prepare macro and micro economic reports for the monthly monetary policy decision and review internal studies and reports for senior management. • Analyze media generated studies extrapolated from the bank’s data. • Research the effect of the central bank’s transparency policy on financial and economic variables.
• Collect and compile quantitative labor-economics cloud data for statistical and econometric analysis. Sponsoring Researcher: Professor Ruth Klinov. • Process, consolidate, and transform data sets within and between databases.
• Carried out original independent research related to the Economics of Privacy. Produced, gathered and analyzed AWS data for academic analysis (under Professor Elke Weber). • Performed Game Theory and economic-risk related studies involving human subjects. Developed and maintained several research databases (under Dr. Poonam Arora).
• Conducted research for the Futures and Risk Management desk. • Participated in the evaluation and introduction of new products and business.
• Assisted in the establishment and renewals of corporate credit facilities for the business department. • Monitored and maintained collateral requirements and covenants and analyzed financial statements for review by senior management.