W1: Machine Learning

Date and Time: March 15, 10:00 - 13:00
Dr. Shakuntala Choudhury, Adjunct Professor of Machine Learning, William Paterson University, New Jersey, USA.

Machine Learning is a synergistic excercise between man and machine. Machine Learning in practice requires human applications of the scientific method and human communications skills. Successful organizations have the analytic infrastructure, expertise and close collaboration between analytics and business.
Deep Learning: It's an advanced machine learning techniques that makes use of extremely sphisticated neural networks. Deep Learning has vastly improved our ability to understand and analyze image, sound and video.

Outline of the workshop:
Why Machine Learning?, Big data, Common Applications, Types of Machine Learning algorithms, Modelling Techniques, Demo of exercises using SAS and R statistical computing tools to develop Machine Learning algorithms, Deep Learning and the future.

W3: Data Science in FinTechs

Date and Time: March 16, 10:00 - 13:00
Mr. Raja, Head, Data Science, Kaleidofin Private Limited, India.

Financial technology, often shortened to FinTech or fintech, is the new technology and innovation that aims to compete with traditional financial methods in the delivery of financial services. It is an emerging industry that uses technology to improve activities in finance. Fintech refers to a set of technologies that focus on new ways of delivering banking and financial services to consumers. When you use PayPal, Amazon pay, or your credit card to make a payment online, you the consumer, the ecommerce company, as well as the bank are all using Fintech to make the transaction happen. Over time, Fintech has evolved and disrupted almost all aspects of financial services, including payments, investments, consumer finance, insurance, securities settlement, and cryptocurrencies, among others. Fintech companies heavily depend on machine learning, artificial intelligence, predictive analytics and data science to simplify financial decision making and provide superior solutions.

Outline of the workshop:
Understanding data pipeline, Transparency vs accuracy in finance, Underwriting a customer, Personalizing financial recommendation, Crypto asset trading

Resource Persons

ML

Dr. Shakuntala Choudhury

Adjunct Professor, Machine Learning, William Paterson University, New Jersey, USA. LinkedIn
Currently, She is an Adjunct Professor of Machine Learning & Data Science and teach graduate students in the Master's of Applied Business Analytics program at William Paterson University.
Expertise:
• Machine Learning, Predictive Modeling, SAS, R, SPSS, Python, SQL and Tableau Public
• Business Economics, Applied Statistics, Population Studies and Data Science
• Retail, Telecommunication, Financial, Pharmaceutical and Healthcare analytics
• Marketing and Management, Sales Operations, Survey Research and Marketing Science

Dr. Shakuntala (Lata) Choudhury’s vision: “I have to educate people that: if a model works it has predictive value on average. If I can show people model results in a way that matches their intuition that helps get buy-in.”

DS

Mr. Raja

Head - Data Science, Kaleidofin Private Limited Raja is a Data Science evangelist having about a decade of experience in Analytics and Data Science. His works were primarily in the financial industry, however has experience in other industries when he was running a data science and machine learning consulting, providing services ranging from startups to listed companies for about 2 years. He recently moved to a fintech startup as head of data science that works on financial inclusion, prior to that, he was heading the data science team at FundsIndia.com - India's largest online mutual fund aggregator with AUM (Assets Under Management) of over $700+ million (Rs 5000+ Crore). Most recently, he has been working on developing and implementing algorithms for crypto asset trading. When he is not staring at his computer, he could be seen hiking or running.

IP

Mr. Chirag Tanna

Director, Regd. Patent Agent, Singapore Regd. IPTC Service Provider INK IDÉE (India | Singapore) Inkidee | Blog
Chirag Tanna is the director of INK IDEÉ organization. His team consisting of techno-legal professionals are very much skilled in providing end-to-end solutions to define one’s Intellectual Property and protect his/her Intellectual Property. He has been through with engineering sector, the life sciences field and proprietary business which has given him a diverse and holistic life cycle of patents encompassing all the fields of engineering. He has comprehensive knowledge of original patent drafting and filing globally. He has several publications in the field of patent writing.