About Us
Company Vision
At PRAKTIKAI, our vision is to bring together the best, brightest, and most driven individuals to realize value in businesses through data and AI. Our focus is to improve people, processes, and technology through a pragmatic, no-nonsense approach that prioritizes simplicity, clarity, and authenticity above all else, while acknowledging the complexity of doing business in the world today.
Our Values
- Practicality: We focus on solutions and business advice that work, cutting through unnecessary complexity and jargon. Theory is only as useful as it can be put into practice.
- Clarity: We believe that the best solutions are clear and straightforward. Good work is easy to understand and communicate, no matter how complex its technical underpinnings.
- Excellence: Anything worth doing is worth doing well. We take pride in always delivering the best work and never accepting second best.
- Authenticity: Honesty is the best policy. Communication should be transparent and candid, and people do their best work when they are allowed to be their best selves.
- Relationships: The foundation of all good work is the individuals behind it and the connections between them. Our company is built upon lasting, meaningful business relationships with our clients, as trusted advisors and colleagues.
Personnel
Myles Harrison is a data scientist and consultant, and the company principal of PRAKTIKAI. His consulting experience in analytics, data science, and artificial intelligence comes from a history in top-tier agencies and firms such as Publicis Sapient, PwC, and Accenture working across client verticals spanning manufacturing, transportation, retail, financial services, healthcare, and telecommunications.
From 2019 to 2023, he was the head of data science at Brainstation, where he led a global team of data scientists developing and delivering an accelerated curriculum covering topics such as data analytics, machine learning, cloud computing, MLOps, and ethical AI. He is the creator and instructor of his own courses and workshops in natural language processing, large language models, and generative AI. A passionate builder of the data and AI community in Toronto, Myles speaks regularly at industry events, runs a networking group, and is an organizer of Machine Learning Toronto.
Shreyas (Yash) Chitransh is a data scientist and business intelligence consultant with PRAKTIKAI. His background stems from upstream Oil and Gas where he has undertaken projects with prestigious firms like Total and Schlumberger among others while publishing the results internationally.
He has conducted big data modelling as a Geoscientist and regularly communicated complex results in an accessible way, allowing managerial and non-technical stakeholders, including government officials, to make more informed business decisions.
His recent experience involves working as a Senior Data Science Educator at BrainStation where he helped career professionals upskill or change verticals. His teachings involved data fundamentals from statistics all the way to creating machine learning models in the cloud. As a strong advocate for driving positive change through data, he regularly conducts data consulting with nonprofits through organisations like Catchafire and UN Volunteers.
Edward Johnson is a data and AI strategy consultant with PRAKTIKAI. He brings over 20 years of global experience in leading enterprise technology initiatives, digital transformation programs, and data-driven innovation across financial services, healthcare, retail, and supply chain industries.
Previously the CTO at Falcon Private Bank, Edward has held senior technology leadership roles at multinational firms and has a strong track >record in building and managing high-performing teams, delivering strategic IT roadmaps, and executing complex cross-functional programs. He has consulted across both corporate and startup environments, leading AI, blockchain, and data science initiatives across diverse verticals—consistently aligning technical delivery with business strategy.
His current focus includes AI strategy and governance, responsible data use, and the effective designs of emerging technologies. He has worked on projects involving NLP, GANs, predictive analytics, and decentralized systems. Edward is passionate about creating scalable, future-proof technology ecosystems and regularly supports professional and nonprofit communities through speaking, mentoring, and volunteer initiatives, including PMI Toronto and Aggregate Intellect.
Jan Scholz is a seasoned data science leader with over a decade of experience delivering AI-driven solutions across enterprise, consulting, and healthcare sectors. Currently serving as Principal Data Scientist at PRAKTIKAI, he specializes in developing scalable machine learning systems that align with business objectives and integrate seamlessly into production environments.
Previously, Jan held leadership roles at Loblaw Companies Limited, where he led the development of production-grade ML solutions, and at Rangle.io and Architech, where he guided organizations through digital transformation initiatives. His early career in neuroscience research at SickKids Hospital and the University of Oxford laid the foundation for his deep interest in learning systems, influencing his later work on scalable AI solutions. Jan combines a rigorous scientific mindset with a pragmatic, outcome-driven approach to help teams and organizations build intelligent systems that deliver measurable business value.
Mohamed Maaz Rehan is an Associate Data & AI Developer with over nine years of experience in analytics, BI delivery, and AI education. He specializes in building interactive dashboards using Power BI and Tableau, writing optimized SQL queries, and developing advanced DAX and Python scripts to drive strategic insights. Maaz has designed and deployed a wide range of end-to-end ML and deep learning solutions, including image classification systems with MobileNetV2 and CNNs, sentiment analysis using Naive Bayes and transformer models, customer churn frameworks, generative image synthesis using GANs and diffusion models, and production-grade conversational AI bots on Azure.
A dedicated mentor and educator, he has supervised graduate research at UpGrad, trained over 500 professionals in ML, DL, and NLP at EduBridge, and taught AI as an Assistant Professor. He holds an Ontario College Graduate Certificate in AI & Data Science, a Master of Technology, and a Bachelor’s in Engineering.
Our Strategic Partners
At PRAKTIKAI, we believe the right partnerships create better outcomes. We work side by side with specialized firms whose strengths complement our own, ensuring our clients benefit from deep expertise, seamless execution, and measurable impact.
Polar Labs
PRAKTIKAI teams up with Polar Labs to bring the best of Snowflake, DevOps, and platform engineering into our projects. Their certified expertise in Snowflake and modern data platforms allows us to design and implement scalable, cloud-first architectures that support AI, analytics, and business transformation. Together, we deliver end-to-end data systems - where we focus on strategy, data analytics, and AI, our partners at Polar Labs ensures project infrastructure is robust, secure, and built to scale.
Peacock Tariff Consulting
For clients navigating the ever-changing complex world of international trade and global operations, we bring the expertise of our trusted partner in tariffs and logistics, Peacock Tariff Consulting. With decades of experience in tariff compliance and trade optimization, PTC provides the regulatory and operational expertise that complements PRAKTIKAI’s data and AI driven solutions for businesses. Together, we help clients not only understand their data but also use it to streamline supply chains, reduce costs, and stay compliant in a complex international environment.
Contact Us
Interested to learn more?
Our Office
30 Adelaide Street East, Unit 1403
Toronto, ON M5C 3G8