Full-Stack Data Science Bootcamp

Murat Baday is the co-founder and Chief Strategy Officer at Smartlens – a clinical stage medical technology company that envisages prevention of blindness due to Glaucoma. He is passionate about everything related to data science, education and entrepreneurship. Under Murat’s supervision, Smartlens has developed the first electronic-free contact lens, which accurately measures eye pressure and its fluctuations. Murat obtained his Ph.D. in Biophysics from University of Illinois at Urbana-Champaign and his M.S. in Physics from University of Pittsburgh. He completed his B.S. in Physics from Bogazici University.

Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. Since 2013, he has been working at Santa Clara University as an assistant professor in the Information Systems and Analytics department (earlier Operations Management and Information Systems department), teaching applied machine learning, software platforms, and computer networks. He holds extensive experience in working on various data intense business platforms. Some of the notable projects he contributed to include the development of a predictive inventory allocation algorithm for Blockbuster with regard to the relationship between sales and customer reviews. Later, he created a mathematical model to capture the decision-making process of online customers based on their collection of data from different sources on the Web. He also developed a probabilistic model to detect churning users for Stumbleupon.com. Yasin is the proposer of an algorithm that helps to reduce bias in electronic formats. His present role involves working on optical DNA sequencing based on actionable big data.

Mr. Shaik is highly motivated Senior BigData / DataScience Engineer in industry. He has been sharing his passion for Data for nearly a decade now. He is passionate about Distributed Machine Learning and the intersection of Big Data & Data Science (AI/ML/DL). He possesses extensive working experience in designing and building Distributed Pipelines, Streaming Analytics, Scalable Machine learning Models and solving Data Quality Issues. He presently working as Senior Big Data Engineer at Ultimate Software, where he is responsible for developing, maintaining and evaluating Big data solutions for Data Science Teams. He is responsible for architectural overview of Data Platforms, Data Governance and building DataLake for Data Science team. He is also in charge of building large-scale data processing systems using Apache Spark, Kafka, Hadoop Eco system with security and compliance enabled across multiple Data centers and GCP.

Ebru Akbas is a data scientist and co-founder of Magnimind Academy. Akbas obtained her Master degree in New York from City University of New York and her undergraduate degree in computer engineering from Turkey. Ebru Akbas also is working as a data scientist on a cancer research project at Stanford Radiology department.

Paul Starrett is a licensed private investigator (CA, IL) and attorney (CA) specializing in high-profile investigations and legal consulting especially where electronic data is central. He is founder and CEO of Starrett Consulting, Inc., a full-service investigations firm that leverages API’s from open-source and commercial data-science applications to analyze structured and unstructured data. He is former General Counsel and Chief Global Risk Officer of an international, publicly-held data management corporation heading their global legal, operations and risk-management groups. His 25 year career began in law enforcement and corporate security and later progressed into information-security engineering, electronic discovery and information management. Paul’s education includes a Master of Science in Predictive Analytics from Northwestern University and a Master of Laws (LL.M.) in Taxation from Golden Gate University. He is also a Certified Fraud Examiner (CFE) and EnCase Certified Computer Forensics Examiner (EnCE).

Arafat is a graduate student from Tel Aviv University and then continued his education at Hamburg and Colorado. Now, he is working as a Data Scientist at Stanford University. He has 25 years of data experience and teaching. Arafat Mokhtar is a Business Intelligence Engineer at Stanford School of Medicine, who develop Python code for data collections, validation, cleansing, and analytics to provide actionable data insights. Arafat holds a Ph.D. in Physics. His work expands into fields of research, finance, and operation. Arafat has several years of Python, R, SQL, and Tableau work experience.

Over the past five years, Dane has been working as a science educator in Palo Alto. Where he teaches science, builds hands-on science programs, and mentors students. His passion is science! Prior to being a science educator Dane worked in the field of paleontology for 10 years. He worked on several paleontology projects focused on data collections and curatorial work with the Denver Museum of Nature and Science and the Smithsonian National Museum of Natural History. In 2010, he was part of a major paleontological discovery in the state of Colorado’s history. Working with a team from the Denver Museum of Nature and Science, we unearthed a treasure trove of fossils 30,000+ vertebrate fossils from mammoths, mastodons, camels, deer, bison, bear, and many other animals. The discovery of this ice age ecosystem drew news coverage from the New York Times, NOVA, and National Geographic. The fossil conifer cones from this discovery led to his graduate research at the University of Wyoming, Laramie.

Mr. Murali Mandayam is a seasoned professional and a long time Silicon Valley resident having worked with companies such as Intellisync and Nokia. Murali jumped into the data science pool recently and has modeled automobile driver and stock market data using classification and time-series modeling.

Dr. Tirthajyoti Sarkar is a Sr. Principal Engineer at ON Semiconductor, where he works on state-of-the-art semiconductor technology development and applies AI/ML techniques for design automation, AI-centered hardware development, and predictive analytics. He contributes regularly to publications such as KDnuggets and TDS on diverse topics related to data science and machine learning. He has authored data science books and contributes to open source software. Tirthajyoti holds a Ph.D. in EE and is working on an M.S. degree in Computational Data Analytics.

Mr. Abraham Kang is fascinated with the nuanced details associated with programming languages and their associated APIs. Kang has a B.S. from Cornell University. He currently works for Samsung as a Senior Director Software helping to drive security and development in Samsung. Prior to joining Samsung, he worked as Principal Security Researcher for HP in their Software Security Research group.
Abraham is focused on AI/ML, application, framework, blockchain smart contracts, intelligent assistants, and mobile security and has presented his findings at Black Hat USA, DEFCON, OWASP AppSec USA, RSA, and BSIDES.