Mohamed Judi, MSc

Mohamed holds a master's in Management Sciences from the University of Waterloo. He holds a BS in Operations Research. He is SAP Catalyst, innovation coach, trusted advisor, passionate data scientist, operations researcher, and experienced enterprise architect. He has over 27-years of in-depth experience of SAP Business Intelligence and Analytics, SAP Leonardo Machine Learning, Predictive Analysis, HANA Platform and Modelling, and SAP Business Suite solutions. He is also a proud father of two successful child processes with uptimes of 7.09E+08s and 5.69E+08s, respectively.

Projects: Predicting Global Poverty


Kim Blackwood, PhD

Kim loves data and she loves science, so she naturally gravitated towards learning new things from piles of data to solve challenges using data science. She completed her PhD from Western University analyzing 3D image datasets from clinical scanners with applications in heart disease. She wanted to translate promising research technologies in the health space so completed a Masters in Innovation Management from the University of Toronto. She currently works as a project manager for a health IT company in Toronto, Canada.

Projects: Predicting Global Poverty


Gursev Bajwa

Gursev has 18 + years of experience in Information Technology working for various companies in a Support Role. He just finished with training in Big Data, more towards Hadoop, and structured databases such as HBase and Hive. He is very keen on learning new technology. Currently he works for Bank of Montreal as a Senior Support Analyst.

Projects: Predicting Global Poverty


Jennis Thomas

Jennis is a graduate in Computer Science and has also completed his post graduation with Artificial intelligence as specialization from Hyderabad Central University. He is a passionate learner and has hands-on experience with database systems, database internals development and computer vision. He has worked with Teradata R&D Labs developing features for multiprocessor database system and also with a startup developing applications to read KYC documents.He is proactive and loves to explore new horizons with a thirst to learn and apply more.

Projects: Predicting Global Poverty


MARYAM QURESHI

Maryam Qureshi is a software quality analyst, with prior experiences as a business analyst at a fintech startup. She is an adept technical multitasker with a degree in Computer Science, half a masters degree in Civil Engineering, and loves dabbling in the more creative aspects of life, such as writing, art, data science and photography. Maryam is also the mother of two cheeky munchkins, who, unbeknownst to them, are regularly subjected to A/B testing and upgraded in rapid sprints.

Projects: Predicting Global Poverty


RUFEI Ma

Rufei currently works at the early-stage startup Audacious Futures, applying data science for learning engineering. Prior to joining Audacious Futures, he worked as postdoctoral research fellow with Simon Fraser University and as lecturer of entrepreneurship and strategy with Tongji University . He received his bachelor degrees in business administration and computer science and doctoral degree in management from Zhejiang University and worked for the dissertation study as a visiting student in University of Cambridge. He has published several research papers in various refereed journals like the IEEE Transactions on Engineering Management.

Projects: Predicting Global Poverty