Making Sense of Blockchain Data Structures and Cryptocurrencies like Bitcoin

 Blockchain Mechanics – Making Sense of blockchain data structures.

• Blockchain and Cryptocurrencies History to today and future.
• Blockchain Investigations: how blockchain technology works under the hood?
• Bitcoin with Ruby, PyCoin: Python open source libraries for Blockchain, Segregated witness, CLTV, CSV, and advanced OPCODES, Mechanics of Lightning Network channels.
• Ethereum: How to create smart contract apps using Ethereum.
• CryptoCurrency Security Standard CSSS

Experienced engineer, entrepreneur and seasoned Statistician / programmer with 14 years of combined experience working on product service/ channel /warranty management in electronics consumer products industry at Apple Inc. (4 years), yield engineering in semiconductor manufacturing at Qualcomm (6 years) and quality engineering in automotive industry at Ford Motor Company (OEM, Tier2 Suppliers) (3 years). MBA from Johnson Graduate School of Management at Cornell University, 3 Master of Science (MS) degrees in diverse engineering and mathematical sciences. Industrial Systems Engineering (Rochester '02), Applied Statistics (Cornell '04)..Developed skills in Big Data, Hadoop, NoSQL, Spark for Scalability and implementation of big data solution for the enterprises. Cloudera certified Hadoop developer, Cloudera certified Data Scientist and Amazon AWS Certified Solutions Architect- Associate. Industry renowned ASQ certifications: Certified Quality Engineer (CQE '06), Certified Reliability Engineer (CRE '07) and Six Sigma Master Black Belt (CSSBB '09). Skills across hardware and software platforms. Naturalized US Citizen.