By using website you agree to our use of cookies as described in our cookie policy. Learn More


Viz for Social Good: Making an Impact through Data & Analyzing de-identified Healthcare data - detection techniques

Connect. Share. Learn.

Dear Toronto/GTA Chapter BI/DW and Analytics Professionals, 

We cordially invite you to attend our upcoming TDWI-Toronto/GTA Chapter meeting. Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Please see our detailed meeting agenda below.


Thurs, November 21,  2019, 8:30 a.m. – 11.15 a.m.


CBC Broadcasting Centre
250 Front Street West, Ground Floor 
(Enter via Front Street or Wellington Street)
Toronto, ON


1) Vanitha Lucas (CIBC) presents -   Viz for Social Good: Making an Impact through Data  
2) Subrata Garai (Scotiabank) presents - Analyzing de-identified Healthcare data with a novel, efficient outlier detection technique

Click here to register for the next upcoming event

8:30 - 9:00 a.m.

Registration, Breakfast and Networking

9:00 – 9:15 a.m.

Introductions and Chapter Business

9:15 – 10:00 a.m.

Speaker Vanitha Lucas (CIBC) presents a  difference by volunteering their skills and passion for data and analytics for the greater good.  The “Data for Good” movement is becoming increasingly popular and many organizations, software vendors and educational institutions are leading, sponsoring or participating in projects.
Viz for Social Good (VFSG) works with mission driven non-profit organizations to analyze their data and create informative and beautiful data visualizations.  VFSG has 34 chapters around the world with approx. 2,000 volunteers.
Attend this session to hear more about “Data for Good” and how organizations like Viz for Social Good are leading the way to use data in informatively visual ways to help non-profit organizations effect change around the world.

10:00 –10:15 a.m.

Break and Networking

10:15 – 11:00 a.m.

Speaker Subrata Garai (Scotiabank). The exploratory analysis of healthcare and mortality data is an important research area, as it directly impacts the wellbeing of citizens. Even relatively simple techniques such as slicing and dicing existing data in new ways can yield remarkable insights.
Use cases and end state features contribute views of field of ‘outlier detection in multivariate space’.  This presentation dives deeper to present an efficient outlier detection technique, termed SSS, which combines an iterative k-means algorithm with a searchlight based subset-scan. We apply this technique to identify outliers in two publicly available healthcare datasets from the New York Statewide Planning and Research Cooperative System, and California’s Office of Statewide Health Planning and Development.

11:00 – 11:15 a.m.

Q&A and Wrap-up

Click here to register for the next upcoming event 
Space is limited so sign up early! 
BIO -  Vanitha Lucas considers herself to be a data and analytics philanthropist. Strongly believing in the power of data and analytics to serve the greater good; she is dedicating herself to raising awareness and influencing change on societal issues. Vanitha volunteers on the Board of Viz for Social Good and leads the Toronto chapter. 
Vanitha has a wealth of experience developing IT and data strategies, delivering enterprise data management solutions and enabling business intelligence and analytics to drive business outcomes.  She has led multi-national teams and work in verticals such as Marketing, Customer Experience, Customer Information Management, Fraud, AML, Risk, Finance and regulatory initiatives for OSFI and the US Federal Reserve.  While her focus has been with Financial Services, she has also worked in Retail, Marketing and Government Ministries.
She is currently Director, Retail Distribution Analytics and Data at CIBC and was at BMO Financial Group prior to joining CIBC.

BIO - Subrata Garai is currently employed as Senior Data Scientist in Global Compliance and Monitoring program in Scotiabank. Apart from this responsibility, he is engaged with multiple Start-ups helping to shape up the Data Analytics Industry. He regularly publishes papers to IEEE on novel approaches in the field of Unsupervised Learning. He also teaches as a part time lecturer at University of Toronto School of Continuing Studies.
Coming from IT background, he has around 15 years experience mainly on financial industry – Insurance and Banking. He has also worked in Healthcare, Hospitality and Telecom sector. He helps businesses to take informed decisions based on solving their data science based problems. Specializing on Unsupervised Learning, his day-to-day work involves producing actionable insights from Industry sized Data as well as designing machine learning based products. His current focus is to bridge the gap between IT (Software) Design and ML/Data Analytics based solutions.
Subrata loves to stay connected to recent advancement of AI practices around the globe and to participate in this wonderful journey of AI revolution.

To become a member at a 10% discount, please click here and use priority code torcptr1. 
For more information about TDWI Membership, contact [email protected].
To contact a Chapter officer, click on name of the officer located on the top right hand column of this page.

Next Toronto Chapter – Feb 2020 – Date TBA   
Please take a moment to provide your consent to continue to receive our emails and other electronic communications.
Yes – Continue sending me information (ignore if you have already responded)
No – Please remove me from your mailing list 

Keep in mind that you can change your email preferences at any time. Visit the Government website here for more information on Canada's Anti-Spam Legislation (CASL).
Thank you in advance, The Toronto Chapter Executive Team

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.