Modern Laptop

The Miami Herbert Business School Business Analytics Club unites students across all different backgrounds who possess a passion for analytics and data visualizations. In addition to providing a forum for knowledge sharing, the club acts as a way for students to interact with faculty and companies, and offer training in various programming languages and big data platforms. The club seeks to enhance student’s understanding of the role analytics plays in business leaders’ enterprises and the challenges their businesses face. Members will participate in forums with business leaders, travel for technology meet ups, participate in Hackathons, and hone programming and analysis skills.


Students convene periodically to discuss timely topics and professional development in the analytics field.  Students host professional development and social events with local industry leaders and faculty members.  In addition, the club also facilitates a peer-mentor ship program for students.  

Shaking Hands

April 5th, 12:00 pm

Aresty 431

Judah Fontz: CEO of Datamize

Will co-present with a business analyst at NextEra Energy/FPL Energy Services. We will both share use cases of data engineering, data science and advance analytics/BI work that is driving positive results and change. 


March 5th, 7:00 - 9:00 pm

PyData Event: Deep Learning on Mobile Devices

presented by William Grisaitis

November 17th, 11:00 am- 1:00 pm 

Intro to AWS Workshop

RDS for creating and managing SQL databases in the cloud

& EC2 for Virtual Machines

October 30th, 2:30 - 4:30 pm

Data Visualization for Effective Communication

October 25th, 2:00 - 5:15 pm

IBM Info Sessions:

Quantum Computing & Blockchain Technology

October 24th, 5:00 - 6:00 pm

Introduction to SQL - Part 2

October 17th, 5:00 - 6:00 pm

Introduction to SQL- Part 1

October 16th, 12:15 - 1:15 pm 

Lunch & Learn

Welcome info session! Join us for an introduction

to the Business Analytics Club!

PyData Event: Deep Learning on Mobile Devices

presented by William Grisaiti

On March 5th we held our PyData Event in collaboration with the University of Miami Business Analytics Club. This meeting included a brief talk, followed up by a discussion and of course the opportunity to network. 

Speaker Bio:

William Grisaitis is a machine learning engineer and curious person based in Orlando, Florida. William has worked in deep learning since 2016 when he joined a deep learning research lab at the HHMI Janelia Research Campus and contributed to peer-reviewed research in deep learning and computational neuroscience. He currently works as a freelance data science consultant and is currently exploring entrepreneurial opportunities involving deep learning on smartphones. Prior to 2016 William worked at Capital One in credit cards and small business lending. Born and raised in Orlando, William graduated with an A.B. in Physics from Duke University in 2012.

Deep Learning on Mobile Devices:

While GPUs have been instrumental in the deep learning revolution since 2012, smartphones can also run deep neural networks on their own hardware and exceed state-of-the-art image classification performance from just a few years ago. This is mostly due to advances in neural network design and model structures. Innovations like the depth-wise separable convolution, for example, have enabled more efficient computation in neural nets. Hardware has also advanced in terms of compute and memory capacity. Put together, a smartphone today can quickly classify images with a lightweight neural network with a higher accuracy than AlexNet achieved in 2012.

This talk summarized these recent developments and examine applications and implications. Most of the focus was on algorithms, but hardware and tools were also relevant. We went over the trade-offs, limitations, and disadvantages of on-device deep learning, like power consumption. We also discussed implications for non-smartphone products and devices, like IoT sensors, drones, autonomous vehicles, and more.

Modern Laptop

Prepare members to perform and communicate analytical and visualization methods, along with facilitating learning data analytics and their real world application.  Our mission focuses on:

  • Being a premier organization hosting analytics and programming related events

  • Building an active community of students that are passionate about data analytics

  • Spreading knowledge of business and data analytics through training sessions, competitions and providing networking opportunities.