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[masked]:30 ODSC Intro and Networking 14:30-15:30 Session 1st Part 15:30 - 16:00 - Snacks/Coffee Break 16:00-17:30 Session 2nd Part 17:30-18:00 AMA Session Workshop topic: Quantitative Finance: Global macro trading strategy using Probabilist Abstract: Crude oil plays an important role in macroeconomic stability and it heavily influences the performance of the global financial markets. Unexpected fluctuations in the real price of crude oil are detrimental to the welfare of both oil-importing and oil-exporting economies. Global macro hedge-funds view forecast the price of oil as one of the key variables in generating macroeconomic projections and it also plays an important role for policymakers in predicting recessions. In this workshop, we will build a global macroeconomic strategy using Probabilistic Graphical Models. Speaker One: Pankaj Kumar, Quantitative Finance Researcher at Investment Management Team - State Street Bio: Pankaj is a 2016 IIT-Bombay grad, an ex- Risk Management professional with MSCI. Experienced Quantitative Researcher with a demonstrated history of working in the financial services industry. Skilled in Factor Modeling, Analytics, and Research. Author of papers in Operation Research and currently working as Senior Associate in Active Quantitative Equity team in SSGA (Statestreet Global Advisors) 4th Largest Asset Management Fund. Current Research includes Environmental, Social & Governance factor to generate alpha for US and UK market. In addition, Pursuing CFA, giving L-3 coming June. Speaker Two: Usha Rengaraju, Principal Data Scientist at Mysuru Consulting Group https://www.linkedin.com/in/usha-rengaraju-b570b7a2 Bio: Usha is a polymath and unicorn data scientist with strong foundations in Economics, Finance, Business Foundations, Business Analytics, and Psychology. She specializes in Probabilistic Graphical Models, Machine Learning and Deep Learning. She has completed a Financial Engineering and Risk Management program from Columbia University with top honors, micro masters in Marketing Analytics from UC Berkeley and statistical analysis in Life Sciences specialization from Harvard. Usha has around 5 years of technical experience working in various companies like Infosys, Temenos, NeoEYED and Mysuru Consulting Group and is a part of dedicated group of experts and enthusiasts who explore Coursera courses before they open to the public , an ambassador at AIMed (an initiative which brings together physicians and AI experts) , participant @ Stanford Scholar initiative ,community member in NumFOCUS ,part-time Data science instructor , core organizing team member @ WIDS(Women in Data Science--Bangalore Chapter)and volunteer at Statistics without Borders. She developed the course curriculum for Probabilistic Graphical Models @ Upgrad which is taught by Professor Srinivasa Raghavan from IIIT Bangalore. Speaker Three: Abinash Panda, Co-Founder of Startup Prodios Bio: Abinash is the Co-Founder of a startup -Prodios and has been a data scientist for more than 4 years. He has worked in multiple early-stage startups and helped them build their data analytics pipeline. He loves to munge, plot and analyze data. He has been a speaker at several Python conferences. Abinash Panda has written two books in Probabilistic Graphical Models and HMM https://www.amazon.com/Hands-Markov-Models-Python-probabilistic/dp/1788625447 https://www.amazon.com/Mastering-Probabilistic-Graphical-Models-Python/dp/1784394688 He is the founding member and significantly contributed to the pgmpy package. ODSC Links: • Get free access to more talks like this at LearnAI: https://learnai.odsc.com/ • Facebook: https://www.facebook.com/OPENDATASCI/ • Twitter: https://twitter.com/odsc & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science/ • India Conference Aug 7 - 10: https://india.odsc.com/ • West Conference Oct 29 - Nov 1: https://odsc.com/california • Europe Conference Nov 19 - 22: https://odsc.com/london
This is a paid event, you must register here: https://india.odsc.com/ About the Conference This year’s 2019 ODSC India brings together the most influential data scientists, practitioners, innovators, and thought leaders in Data Science, Artificial Intelligence, and Big Data. ODSC India showcases the best and the brightest when it comes to Data Science, including many open source data science pioneers. This 4-day event will feature a total of 80 sessions, 70 speakers, 12 intense training sessions. Training Sessions & Workshops Enhance your data science career with 12 training sessions taught by world-class data science instructors, in small class sizes. Here you'll strengthen your technical skills and boost your professional profile through intense, hands-on training led by industry experts. Further your data science knowledge and connect with like-minded individuals at the many conference talks and workshops. Tools, Topics, and Languages Impress your boss and colleagues with the skills you gain at ODSC India. Here’s just a sample of the tools, topics, and languages we'll be covering in 4 days: Topics: Deep learning, Machine learning, Data Visualization, Predictive Analytics, Cognitive Computing, Big Data, Artificial Intelligence Languages: Python, R Julia, Scala, Java Tools: Apache Spark, deeplearn.js, Tensorflow, deck.gl, Scikit-learn, AWS Lambda, PyTorch, MapD, Watson, Databricks Rockstar Speakers We’re gathering the best and brightest minds in data science for you. Learn the newest data science trends, insights from 71 industry experts. Please visit our event website (https://india.odsc.com) for a complete list. Networking Opportunities Connect with 1200 of your data science peers from around the world at these networking opportunities provided throughout the conference: Daily Coffee Breaks / Review the talks over coffee Lunch / Share a meal and ideas with like-minded individuals Office Hours Session / Drop in and bring your questions, big and small.