PyData March Meetup - Two Cases Show

In PyData March event, we are pleased to invite three speakers Doug MacLeod, Heather Wigell, and Itay Livni to demonstrate two separate data/software solutions under business/education domains.

Schedule:

1. Between 6:20 p.m. and 7:00 p.m.

Topic:

What constitutes “useful” or “worth it”. Using visualizations to communicate possibilities of data science to sales executives.

Abstract:

SCF is creating a predictive order technology for CPG wholesalers. It predicts what products will be ordered by a salesperson for beverage wholesalers in a large format grocery on a given day. It estimates the number of cases a salesperson will order (product quantity), each time a salesperson puts in an order. We are working with an obfuscated transactional data set from a major CPG beverage wholesaler.

Join us to discuss how and why we made our choices, the issues we ran into, and how we are solving problems by using Tableau data visualizations to communicate to the business. A discussion of our data and pipeline will be included. See data visualizations of actual versus predicted orders.

Bio

Doug MacLeod has spent over 20 checkered years in IT, ranging from applications development consultant to Director of Applications Development at Pepsi. He has spent time at major beverage manufacturing and distribution companies such as Pepsi, DS Waters and other distributors specializing in mobile field workforce computing, warehouse and delivery operations. Technical expertise includes all major databases, Objective C, some Java and now just another newbie in Python.

Heather Wigell is the Co-Founder at Smart Cloud Forge, and designs data visualizations on Tableau. Heather has worked in marketing for 10 years. Through out her career she has taken on roles in research, analytics, data science and data visualization. Past projects include The Digital Publics Project at University of Chicago.

2. Between 7:00 pm and 8:00 pm

Topic:

Building an Automated Educational Vocabulary Game Generator

Abstract:

Vocabulary, repetition, and examples are fundamental to human learning. These fundamental tools help humans to teach each other, communicate, and innovate. Yet, vocabulary building and reading comprehension games specifically geared for science, technology, engineering and math (STEM) disciplines are lacking. They are expensive to make and the content can have a short life span. In this talk we will go over the main components required to build an automated educational vocabulary game generator with packages such as pandas, textacy, gensim, scikit-learn, and networkx.

Bio:

Itay Livni currently is working on tapNotion full time. A system to automatically generate educational STEM vocabulary games. In his past, he traded equity options in trading pits with hand signals as a market maker and specialist, ran a small proprietary black box trading firm, and worked as a clerk on the CME. With mixed success he tried to automate every job he did.

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6:00 p.m - 6:20 p.m is time for social. Seminar will start at 6:20 p.m.
Please note the office security needs to check your government issued ID (Driver License or Passport, please note Student ID is not valid for entry) . Thanks for your understanding.

Our Sponsor: Allstate ( http://www.allstatedatascience.com/ )

Please note we move the Meetup from Suite 875 to Suite 850 (same floor, but on the Allstate-branded side).