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Champions Corner

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Study Guides

 Let us be your personal study buddy! Interested in reading more about data science but need some help on where to start and digest the material. More guides to come!  

Study Guides


A space to share our video content from our panels, webinars and snippets of our annual conference

The Impact of Missing Data on Indigenous Communities  Kimberly Murray

The Impact of Missing Data on Indigenous Communities Kimberly Murray

Kimberly Murray is a member of the Kahnesatake Mohawk Nation. She is currently the Executive Lead for the newly created Survivors’ Secretariat at the Six Nations of the Grand River, working to recover the missing children and unmarked burials at the Mohawk Institute. Prior to this new role, Ms. Murray was the Province of Ontario’s first-ever Assistant Deputy Attorney General for Indigenous Justice, from April 1, 2015, to August 2, 2021, where she was responsible for creating a unit to work with Indigenous communities on revitalizing their Indigenous laws and legal orders. In 2018-2019, Ms. Murray chaired the Expert Panel on Policing in Indigenous Communities, which produced the report Toward Peace Harmony, and Well-Being. From 2010 to 2015, Ms. Murray was the Executive Director of the Truth and Reconciliation Commission of Canada where she worked to ensure that Survivors of Canada’s residential school system were heard and remembered and to promote reconciliation between Indigenous and non-Indigenous people. From 1995 to 2010, Ms. Murray was staff lawyer and then executive director of Aboriginal Legal Services of Toronto. She has appeared before all levels of courts on Indigenous legal issues. She has acted as counsel at numerous coroner inquests and public inquiries—including the Ipperwash Inquiry in Ontario and the Frank Paul Inquiry in British Columbia. Ms. Murray is the recipient of numerous awards, including the Dianne Martin Medal for Social Justice through Law, the City of Toronto’s Aboriginal Affairs Access, Equity and Human Rights Award, the Law Foundation’s Guthrie Award, the Law Society of Ontario’s Laura Legge Award and the 2017 National Aboriginal Achievement Award for Law and Justice. In 2015, the Indigenous Bar Association granted Ms. Murray the Indigenous Peoples Counsel (IPC) designation. Most recently, Ms. Murray was awarded the Lieutenant Governor’s Medal of Distinction in Public Administration.
2023 Conference Launch in collaboration with RBC

2023 Conference Launch in collaboration with RBC

Have you ever wondered how data scientists spend their days? How they arrived at that role? What their hopes and dreams are for the future of data and AI? Join us for our Conference Launch in collaboration with our Gold Sponsor, RBC, featuring a panel of amazing women in data. Panelists will discuss their career journeys and thoughts on future trends, share insight on their career growth and how their roles could evolve in the future. The future of data and AI needs to be inclusive so join us and be a part of this important conversation. You don’t want to miss this evening of networking and inspiration! Our Special Guests: Rose-Marie Patrick- Data Scientist, Chief Data Office at Royal Bank of Canada Rose is a Data Scientist in the Chief Data Office at Royal Bank of Canada. In her role, she specializes in leveraging large data sets and leading-edge technologies to discover business improvements and new growth opportunities for RBC. Prior to a career transition into the world of data, she spent over 14 years as an Instrumentation and Controls Engineer, spanning multiple industries such as energy, petrochemical, manufacturing and pharmaceuticals. She completed a Bachelor of Science and Master of Science in Electrical and Computer Engineering from the University of the West Indies, Trinidad and Tobago. Obiamaka Agbaneje- Machine Learning Engineer at Sterling Capital Brokers Obiamaka Agbaneje is a Machine Learning Engineer at Sterling Capital Brokers with over a decade of experience in the IT industry and 5 years of experience in Data Science/Machine Learning Engineering working in the Telco, Travel and Financial Services industries. She is a specialist in data pipeline architecture, warehousing and modeling. She has expertise in designing, building and deploying data pipelines using various big data technologies. Obiamaka is also well-versed in utilizing AWS cloud services, and Databricks for data storage and processing. Additionally, Obiamaka is an active Python and data engineering community member and regularly shares her knowledge through speaking engagements and contributing to open-source projects. Obiamaka is excited to be speaking at this conference about her experience working as a data professional. Yinka Adegbusi- Market Insights Manager at KPMG Yinka Adegbusi is a data analytics professional with a deep passion for data and its impact on business decisions. She has in-depth knowledge and experience in analytics subject matter, including data science, machine learning, artificial intelligence and insights reporting. She has held various analytics roles, including program manager at Microsoft, Data scientist at the Ontario Ministry of Education, as well as in various industries including telecommunications, commercial insurance and consumer goods, where she utilized her data analytics background to analyze business data, construct machine learning models and present actionable insights that empowered organizations in making data-driven decisions. Yinka developed her passion for data during her studies in physics and mathematics at Queen’s University. She currently works at KPMG Canada as a Market Insights Manager, where she leverages data analytics to provide insights that enable business leaders to make data-driven business decisions. She is a foodie with a passion for photography and digital design. She is also the founder and creative director of Quant By Design, a boutique web design studio. Her passion for advocacy in inclusion and diversity, particularly in the Black community, led to her co-founding Queen's Black Alumni Chapter. She is also on the executive committee of KPMG Black Professional Network (BPN) and an active member of KPMG Women in Technology Network (WiT). Siphu Langeni- Data Scientist at Shopify Siphu Langeni is a Data Scientist at Shopify on the Capital Algorithms team. She is dedicated to empowering millions of entrepreneurs and businesses of all sizes on the global commerce platform by building and scaling algorithm-based products. Prior to making a career transition into Data Science, Siphu obtained a Master of Science in Anesthesia from the University of Michigan - Flint and Hurley Medical Center. As an advanced practice nurse, she was dedicated to clinical excellence and leadership in Critical Care, Trauma, Anesthesia and Surgery. When Siphu is not “doing data”, she enjoys mentoring people from a variety of professional backgrounds aspiring to make the jump into data. 2023 Conference tickets:
Coded Bias Q&A with Shalini Kantayya and Shingai Manjengwa

Coded Bias Q&A with Shalini Kantayya and Shingai Manjengwa

On June 3rd, 2021, Toronto Womxn in Data Science held a screening of Coded Bias and Q&A with filmmaking Shalini Kantayya led by Shingai Manjengwa. Shalini Kantayya: Shalini Kantayya is the filmmaker of the critically acclaimed and timely film Coded Bias. Coded Bias premiered at the 2020 Sundance Film Festival. She directed the National Geographic television series Breakthrough, Executive Produced by Ron Howard, broadcast globally in June 2017. Her debut, Catching the Sun, premiered at the LA Film Festival and was named a NY Times Critic's Pick. Catching the Sun was released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo Di Caprio, and was nominated for the Environmental Media Association Award for the Best Documentary. Kantayya is a TED Fellow, a William J. Fullbright Scholar, and an Associate of the UC Berkley Graduate School of Journalism. Shingai Manjengwa: Shingai Manjengwa is the founder and Chief Executive Officer of Fireside Analytics Inc., a data science education solutions company. Fireside Analytics develops customized programs that teach digital and AI literacy, data science, data privacy, and computer programming. Shingai developed Canada’s first inspected data science curriculum for high school students that uses case studies to teach data management, data analysis, and computer programming skills. Data science courses by Fireside Analytics have over 500,000 registered learners on platforms like IBM’s and Coursera. A data scientist by profession, Shingai is also the Director of Professional Development/ Technical Education at the Vector Institute for Artificial Intelligence in Toronto, where she translates advanced AI research into educational programming to drive AI adoption and innovation in industry. Shingai serves on the advisory council for, "Accelerating the adoption of AI in healthcare,” a program to empower front-line healthcare workers with AI skills by the Michener Institute of Education at UHN and the Vector Institute. Shingai also serves on the board of the Canada Institute on Governance (IOG). Shingai’s book, ‘The Computer and the Cancelled Music Lessons’ teaches data science to kids from ages 5 to 12 and she holds a Master's degree in Business Analytics from New York University's Stern School of Business. Shingai is the 2020 recipient of the Public Policy Forum, 'Emerging Leader' award. You can find Shingai on LinkedIn and Twitter: @Tjido.
The Unsung Heroes Data Engineers Panel

The Unsung Heroes Data Engineers Panel

Data scientists are one of the most sought-after roles but you may have overlooked a key player on the data team- Data Engineers. Data Engineer is one of the fastest-growing tech roles. With a focus on ensuring data availability, their work enables data analysts and data scientists to deliver insights and data products. From building, testing and maintaining data pipelines to ensuring compliance with data governance and security, data engineering is the secret sauce to an effective data strategy. Join us on January 19th as we speak with experts in the space on Data Engineering and Machine Learning Operations. Keynote Angela Amador Director, Data Engineering at RBC Angela is a Computer Scientist and IT Manager with over 25 years of experience in the area of Business Intelligence and Data Marts, with ample exposure to the analysis, design, development, testing and tuning of solutions, and the management of business and technical teams. Panelists Delina Ivanova Associate Director, Data & Insights at HelloFresh Canada Delina has over 10 years of experience across data and analytics, consulting, and strategy with roles spanning financial services, public sector and CPG industries. She is currently the Associate Director, Data & Insights at HelloFresh Canada where she leads a full-service data team, including data engineering, data science, and business intelligence and automation. She is also a Data Science and Machine Learning instructor in the professional development programs at the University of Toronto and University of Waterloo. Michelle Ark Staff Data Engineer at Shopify Michelle is a Staff Data Engineer at Shopify, focusing on building and supporting tools for batch data transformations. Shipping critical projects at Shopify now for three and a half years, Michelle began her Shopify journey as a Software Engineering intern. Serena Ma Sr. Data Engineer at RBC Serena Ma has been a Sr. Data Engineer for four years. She's inspired by embracing the power of parallel computing and providing business insights. One of her achievements at RBC is the completion of a Business Match - Entity Resolution for Business Corporation Information. She also loves to bake Leili Noorian Manager of Data and Analytics at Avanade Leili is a Manager of Data and Analytics at Avanade in Toronto with an MSc, Computer Science from the University of Western. With extensive experience in Data Engineering and Analytics and experience working in Software/Financial/Consulting firms, we're excited to have Leili join us as a panelist. Leili leads teams of Data Engineers and Data Analysts designing and implementing Analytics and Data platform projects.
NLP Advancements & the Future of Work Panel