Tech Talks
This series of talks will feature data science professionals and software developers. They will explore topics ranging from data storytelling to creating websites. Presenters will be available to answer questions at the conclusion of the discussions.
The talks will include:
Data Storytelling
Data experts often struggle to relay critical information to business leaders. Ekué Séssi Afanou, will discuss ways to improve data storytelling and transmit information in a manner that is easier to understand. Ekué has a background in finance and completed two Professional Development Certificates at the McGill School of Continuing Studies: in Data Science and Machine Learning and in Data Analytics for Business.
“Soft” data science
Zachary Markofsky, a Senior Data Governance at TalentNeuron, will examine where people and data science meet, specifically aspects of “soft” data, i.e., information susceptible to interpretation and opinion.
Veterinarian Diagnosis Prediction Model using LLMs
Reza Filsoof is the Lead Data Scientist at VetGenus where he works to improve healthcare outcomes for pets and humans with high-quality data and AI-driven insights. In this presentation, he will talk about a very specific data science project in which a machine learning classification model is used to predict the diagnosis of a veterinarian's patient.
Creating a Personal Website using Next.js
This workshop will demonstrate how to set up a personal website using Next.js. Thomas Robert (Bobby) Connolly will guide the discussion. He is a seasoned software developer with over 20 years of experience in programming, starting with VB.NET.
Summarizing and overall Q&A
Nathaneal Weill will provide a summary of the presentations and open the floor to questions from the audience.
This event will be held in English, but participants can ask questions in French.
About Ekué Séssi Afanou, Data Analytics Manager, KPMG Canada
Ekué is a Data Analytics Manager at KPMG Canada. He has a background in finance and took the data Analytics and completed the Professional Development Certificate in Data Science and Machine Learning at the McGill School of Continuing Studies.
About Nathanael Weill, Ph.D., Director at Data Science at B-Yond
Nathanael Weill is an experienced Director of Data Science at B-Yond, where he leads a team in developing cutting-edge AI and analytics solutions for the telecom industry. He previously worked as a Senior IoT Data Scientist at Mnubo and as Director of Data Science and Research at LANDR, where he achieved state-of-the-art algorithms in various fields. Nathanael holds a Ph.D. in pharmaceutical sciences and is a lecturer in the Professional Development Certificate in Data Science and Machine Learning and Professional Development Certificate in Applied Artificial Intelligence programs at McGill SCS.
About Reza Filsoof, Lead Data Scientist, VetGenus
Reza Filsoof is the Lead Data Scientist at VetGenus, and creates tools to help improve healthcare outcomes for pets and humans by connecting vets, managers and researchers with high-quality data and AI-driven insights.
About Thomas Robert (Bobby) Connolly, Full Stack Web Developer & Sole Proprietor, ACL Health Care Systems Inc.
Bobby is a seasoned software developer with over 20 years of experience in programming, starting with VB.NET. He currently runs a small software company that specializes in providing medical billing services. In addition to his passion for programming, Bobby is an avid coffee lover and proud owner of an orange cat named Ginger.
About Zachary Markofsky, Senior Data Governance, TalentNeuron
Zachary is a Senior Data Governance at TalentNeuron, a Big Data Talent Analytics company and formerly part of Gartner. His focus is helping build better data practices through transformative governance and organizational development. He has also worked in several roles such as Data Analysis, Behavioral Science Consulting, and Startup Development. He holds an MS in Industrial Organization Psychology and is an alumnus of the McGill School of Continuing Education's Data Science and Machine Learning program.