Teach and Showcase Your Thought Leadership

Veysel Kocaman

Has a B.S degree in Computer Engineering and a M.S degree in Operations Research (IE&OR dual titled) from Penn State University (State College, PA, USA). He's the Head of AI and CTO at Talent Envoy, based in CA, USA. Provides hands-on consulting services in statistics, data science, operations research, simulation, and machine learning to several start-ups around the globe. He designed multiple algorithms in NLP, web scraping, insurance and fintech projects, data preparation, predictive analytics, AdWorks, CRT prediction, bulk email scheduling, Dockers implementation, MySQL, Postgre, AWS EC2, code optimization, debugging, multi criteria decision making, utilizing the API interfaces ( Bing, Diffbot, Gensim, Spacy, Google KG, Algorithmia and TextRazor), ML classification, and several others. He also worked on mapping the patent details/claims to product descriptions and clustering the products using recent NLP tools such as word2vec, doc2vec, Spacy and several other semantic tools and unsupervised ML algorithms.

Kaitlin Hagan

Kaitlin Hagan received a Masters in Public Health from Columbia University and a Doctorate of Science in Epidemiology from Harvard University. She is currently a post-doctoral fellow at Brigham and Women's Hospital and Harvard Medical School in Boston, MA. Kaitlin works with the Nurses' Health Study and her research focuses on cardiovascular epidemiology and the epidemiology of aging. Kaitlin has been involved with Introductory Statistics courses at Columbia University, Harvard University, and the Harvard T.H. Chan School of Public Health and has received numerous teaching awards and citations for her work.

Jiang Zhou

Jiang Zhou, Ph.D., has two decades of experience building predictive analytics solutions across industries including telecommunication, banking, insurance and smart city. These solutions have resulted in over $200 million in savings for clients. He is a Member of Industrial Advisory Board at University of Massachusetts Boston and the Chief Data Scientist at 慧信(Smart Credit). Previously, he was the chief statistician at Lightbridge, Inc., a vice president at Citizens Bank and a consulting member of technical staff at Oracle Inc. Dr. Zhou has been involved in 3 head to head competitions to build the best predictive models, i.e., a customer credit risk model for a top 3 cell phone company, a bank card fraud detection model for a top 15 bank, and a direct sales model for a marketing company. Dr. Zhou's models have won all 3 competitions. In addition to his technical skills, he is, as one of his clients put it, "a great trainer, and a good presenter of theoretical data mining concepts so that they can be understood by most". He is the author of the blog www.deep-data-mining.com that is regarded as one of the best on data analytics and data mining. Dr. Zhou is the primary author of an award-wining scientific paper, "Using genetic learning artificial neural networks for spatial decision making in GIS" (Nov., 1996, PE & RS). His recent article , Use Big Data and Artificial Intelligence to Rationally Evaluate the Characteristic Town, is published on influential "Economic Information Daily" (in Chinese) .

Ajay Bhargava

Ajay specializes in transforming organizations to be more “analytics driven”. He has over 27 years of experience in data and analytics industry developing solutions and mentoring professionals from a large spectrum of domains ranging from students to Fortune 500 employees. Starting in 2010, he has incubated and grew a global big data and analytics organization serving insurance and healthcare customers of the 6th largest IT services company in the world.