Cagri Ozcaglar's Email Addresses & Phone Numbers

Applied Researcher @ LinkedIn Team: Talent Relevance From October 2016 to December 2018 (2 years 3 months) Sunnyvale, CASoftware Engineer Intern @ TUBITAK - Designed and implemented a program which calculates the salaries of employees using their entrance and exit time to/from the building using Java. From August 2005 to September 2005 (2 months) Software Engineer Intern...

Applied Researcher @ LinkedIn Team: Talent Relevance From October 2016 to December 2018 (2 years 3 months) Sunnyvale, CASoftware Engineer Intern @ TUBITAK - Designed and implemented a program which calculates the salaries of employees using their entrance and exit time to/from the building using Java. From August 2005 to September 2005 (2 months) Software Engineer Intern @ TRT - Developed the user interface of Eurovision Song Contest website of Turkey in .NET environment using C++. From July 2004 to August 2004 (2 months) Research Scientist @ Amazon Team: Consumer Marketing Analytics- Designed, built, and productionized large-scale machine learning models which measure the likelihood of customers to take any action, such as purchasing from a product category (e.g. books, clothing), signing up for a program (e.g. Prime), downloading mobile shopping app, among many others.- Designed, built, and productionized channel response propensity models which measure the likelihood of customers to engage with various channel communications, such as email or mobile. Generated channel-adjusted customer propensity models for all customer actions using channel response models.- Designed, ran, and analyzed live experiments / marketing campaigns in collaboration with marketing managers for benchmarking marketing efforts using customer propensity models vs. manual / heuristic targeting and other options in various channels. These channels include email, online, social (Facebook), mobile.- Designed, built, and productionized uplift / incremental models to measure the differential propensity of a customer to take an action after targeting. Various applications include direct mail targeting for streaming Prime Instant Video (PIV), making a purchase from Fashion product categories, and signing up for Amazon Business program. - Designed and built uplift models with importance weighting, which measure the increase in the likelihood of a customer to take an action after targeting, in case of treatment set selection bias.- Filed a patent on Uplift Modeling with Importance Weighting. From September 2013 to October 2016 (3 years 2 months) Greater Seattle AreaSoftware Developer @ Bank of America Team: Equity Linked Technology- Designed and implemented software for processing TESS real time feeds within trading systems.- Designed and implemented a connector between Access Request Management (ARM) and RAM database. From August 2012 to August 2013 (1 year 1 month) Greater New York City AreaResearch Assistant @ Rensselaer Polytechnic Institute PhD Thesis: Algorithmic data fusion methods for tuberculosisMS Thesis: Classification of email messages into topics using Latent Dirichlet AllocationPublications: http://www.cs.rpi.edu/~ozcagc2/Publications.html* TB-Insight: http://tbinsight.cs.rpi.edu/ - UBF: Developed the Unified Biclustering Framework to find host-pathogen associations among M. tuberculosis complex strains and TB patients. - TCF: Developed the Tensor Clustering Framework (TCF) to cluster M. tuberculosis complex strains into coherent groups using multiple-biomarker tensors. - TB-Vis: Designed and implemented a visualization program: 1) Spoligoforests display spoligotype evolution using various distance measures of genomic data of M. tuberculosis complex, 2) Host-pathogen maps display patient characteristics classified by the genotype of M. tuberculosis complex which infects the patients. Spoligoforests are used in TB-Lineage tool at http://tbinsight.cs.rpi.edu/about_tb_lineage.html. Both spoligoforests and host-pathogen maps are used in the design of interactive version of TB-Vis at http://tbinsight.cs.rpi.edu/about_tb_vis.html . - Developed an algorithm to find the mutation history in the DR region of M. tuberculosis complex and found topological attributes of the resulting phylogenetic tree. Built two new models, Starting Point Model (SPM) and Longest Block Model (LBM) for one of the attributes, namely, mutation length frequency.* Enron email classification into topics - Designed and implemented experiments on real and synthetic datasets to test the accuracy of email message distribution into topics using the Latent Dirichlet Allocation. Classified email messages of Enron into topics based on word distribution.* MetPetDB: http://metpetdb.rpi.edu/ - Contributed to design and implementation of client-server architecture of a database for Metamorphic Petrology. From August 2006 to August 2012 (6 years 1 month) Teaching Assistant @ Rensselaer Polytechnic Institute - Introduction to Algorithms- Computer Science II: Data Structures- Computer Organization- Artificial Intelligence From August 2006 to December 2010 (4 years 5 months) Undergraduate Teaching Assistant @ Bilkent University - Discrete Mathematics From January 2006 to May 2006 (5 months) Senior Applied Researcher @ LinkedIn Team: Down-Funnel Optimization AI (December 2019 - Current)Team: Careers Relevance (January 2019 - December 2019)