Proton Cohort
The Proton cohort of Cybera’s Applied Data Science Lab for Economic Development launched in October 2023. In this cohort 14 budding data scientists have been paired with four Alberta-based organizations to begin their real-world data science journey. From October 2023 until the end of March 2024, the data science interns will develop and iterate on proof-of-concept data science products and support infrastructure that can be used by their industry partners to improve operations or develop a new product.
The Applied Data Science Lab is designed to help emerging data scientists find employment opportunities by giving them real-world data science experience. In parallel, the program supports Alberta-based organizations to adopt data science practices that will help them de-risk data-related opportunities, improve business productivity, create jobs, secure investment, and improve efficiencies.
VinoAI
VinoAI is a mobile wine recommender app that helps recommend wines the user may enjoy based on past wines they have tried. This Edmonton-headquartered startup allows users to personalize their wine ratings so they can be recommended wine with far more accuracy than verbal recommendations. During the Applied Data Science Lab, the interns will help VinoAI improve their use of data to support better wine recommendations for its users.
VinoAI Interns
Devipriya Raju
Edmonton
Devipriya has a Master's in Data Science from the University of Wisconsin and is currently working on her Master's in Computing Science at the University of Alberta. Devipriya’s work as an AI research assistant has led to many achievements, including being awarded the Vector Institute AI Scholarship and the Next Generation Tech Booster scholarship. Devipriya is leveraging her background in computer vision and Large Language Models to support VinoAI's natural language-focused project.She also enjoys writing articles for newspapers, playing drums, and sketching.
Pavan Gottumukkala
Calgary
Pavan has received a Master’s in Data Science and Analytics from the University of Calgary. Before obtaining his master’s, he worked on databases as a programmer analyst at Cognizant. He also worked as an associate machine learning developer at AltaML. He has been able to leverage this experience through his work with VinoAI, where he regularly works with natural language processing on their database. His enjoyment of the outdoors has taken him to remarkable places like the Himalayas.
Sergey Orlov
Calgary
Sergey's career has primarily been associated with computer science. He began his professional journey as a software developer and a physicist and mathematician at Tomsk State University after earning a Ph.D. in Physical and Mathematical Sciences from the same institution. Later, he assumed the role of a director and contributed to the construction of a supercomputer that ranked 104th among the most powerful in the world. Recently, Sergey completed a Master of Data Science and Analytics at the University of Calgary. He is now applying his newly acquired skills to assist VinoAI in developing text-processing projects using large language models. Sergey is also an avid cook who enjoys preparing Middle Asian cuisine, such as Pilav, Lagman, and various soups.
GitHub
Temi BakareÂ
Calgary
Temi received a Graduate Diploma in Communication Engineering at Memorial University in St. John's, followed by a Master’s in Software Engineering from the University of Calgary. Temi has worked as a general contractor for a wide range of technical solutions and as a configuration technician. Most recently, he worked at the business-to-business organization Enverus as a software engineer, where he redesigned the authentication system for OpenInvoice. When not being well-engaged through his experience with VinoAI, he can be found brewing a fresh cup of coffee.
GitHub
Kinetisense
Kinetisense runs a 3-D markerless motion capture software that is used by clinical professionals, pro sports teams, senior-living providers, the military, and workplace wellness providers. Their platform provides functional assessments, including 3D posture analysis and 3D range of motion. Based out of Medicine Hat, Kinetisense is leveraging over 1 million human motion capture datasets to streamline the diagnostics process, enabling practitioners to make better and faster treatment decisions and plans.
Kinetisense Interns
Md Alamin
Calgary
Md received a Master's in Engineering from the University of Calgary, during which he co-led a team that made significant contributions to the Chromium open-source project. This project provides a fast, simple, and more secure computing experience on systems like Chrome, Opera, and Edge. As someone who dreams with his eyes open, Md has enjoyed his experience in the Applied Data Science Lab because it has allowed him to collaborate with subject matter experts across various domains, constantly expanding his knowledge.
GitHub
Negar Tajziyehchi
Calgary
Negar has received a Master of Science in Software Engineering from the University of Calgary. Following this, she completed a four-month internship at AltaML and took a position at the University's Clinical Research Unit as a database developer . Negar’s work on the Kinetisense project involves her contributing to a recommender system that aims to improve individuals' mobility health. When not at her desk, you will find her hiking, biking, bouldering, or reading a book.
GitHub
Jeremiah Chinyelugo
Calgary
Jeremiah has completed a Master of Engineering from the University of Calgary. Before this, he worked as an engineer in the asset development team of an upstream oil and gas company in Nigeria. He joined the Applied Data Science Lab to learn new technologies and data science best practices, and to build systems using TensorFlow. His typical day consists of improving his knowledge through courses on DataCamp and applying his knowledge and skills through personal projects on AWS.
GitHub
Libellum
Libellum is a software application that streamlines the accreditation process for post-secondary institutions assessing higher education programs. The goal is to reduce the staff and resource burden of evaluating programs and courses from other institutions while ensuring students still receive academic recognition for their past programs. Primarily focusing on engineering programs, the Calgary-based organization is working to enhance their overall insights into the dataset they have collected.
Libellum Interns
Reza Yousefvand
Edmonton
Reza is completing his Master's of Science in Electrical Engineering at the University of Alberta. His thesis focuses on measurements of hip migration through the use of ultrasounds, aiming to reduce radiation exposure to children. Reza has enjoyed his time in the Applied Data Science Lab because of its education-oriented approach, which helps him develop his existing skills. He enjoys playing chess and going for walks, and, when he travels, he is fascinated by art and history, especially from the old Roman Empire.
Tallan Bowhay
Calgary
Tallan attended the University of Calgary, receiving a Bachelor of Science in Mathematics with a concentration in statistics and a minor in data science. Before joining the Applied Data Science Lab, Tallan participated in an internship as a machine learning developer with ALTAML. In addition to their machine learning prowess, Tallan is a confident public speaker, having volunteered as a radio host for CJSW. When not at their desk, you can find them playing D&D or jamming on their drums.
Maazullah Khan
Calgary
Maazullah received a Master’s in Data Science and Analytics from the University of Calgary. Prior to that, he earned a Master’s in Financial Economics and a Ph.D. in Development Studies from Erasmus, leading to a 15-year career in central banking. During this time, he developed an early warning system for predicting bank failures. In his typical day as an intern, Maazullah does a detailed exploration of the company data to identify systematic patterns. In his spare time, you’re likely to catch him outside exploring the Canadian Rockies.
Genesis Data Solutions
Genesis Data Solutions runs a data-centric tool that helps industrial operations, such as oil and gas, reduce materials and corrosion issues while improving operational efficiency. This proactive corrosion loop development tool helps lower engineering man-hours and reduce GHG emissions. Their goal in the Applied Data Science Lab is to improve data preparation and optimize its AI modeling capabilities.
Genesis Data Solutions Interns
Zheyu Song
Calgary
Zheyu has completed a Master's in Data Science at the University of Calgary, during which he worked as a research assistant at the Haskayne School of Business. In this role, he implemented machine learning technology to enhance the efficiency of the supply chain. His typical day as an intern involves reviewing and merging pull requests on Git, analyzing data, and collaborating with colleagues. Zheyu has a strong passion for researching and exploring East Asian history and culture.
Dezy Manuel
Edmonton
Dezy received a Bachelor of Science in Physics from the University of Victoria. While on Vancouver Island, Dezy served as an instructor and later as a Coordinator for the non-profit organization Science Venture, dedicated to teaching kids STEM. Dezy then moved to Edmonton, where she became a full-stack software developer. As an avid Trekkie, Dezy is a huge astronomy enthusiast and has taught astronomy at the Dominion Astronomical Observatory.
GitHub
Rashid Bawah
Calgary
Rashid worked as a technical research associate in clean energy technologies before receiving a Master's in Software Engineering from the University of Calgary. In the Applied Data Science Lab, Rashid gains valuable experience by leveraging various platforms/tools we use, including Slack, Jira, GitHub, and the virtual machine. He ensures skill enhancement through the mentorship he receives. Rashid also holds a Master's in Chemical Engineering from KFUPM, Saudi Arabia.
GitHub
Chloe You
Edmonton
Chloe has a Master’s in Software Engineering from the University of Alberta. Prior to that, she had some experience forecasting stock prices by leveraging tools such as R and Python, which are skills she has leveraged to develop an automated software testing tool that works across three platforms to identify 51 potential bugs. During the internship Chloe values the knowledge she gains from Cybera’s mentors and her fellow peers. In her spare time she can often be seen at ski resorts, enjoying leisurely activities.
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