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Women in Tech Networking Event
Registration
Registration is now closed (this event already took place).
Details
This engaging panel discussion and networking event will bring together leading female tech professionals from data science, analytics, and software engineering, to share their insights, experiences, and strategies for success. Participants will have the opportunity to learn from professionals and peers alike, gaining valuable advice on navigating their career paths, overcoming obstacles, and making impactful contributions to their fields.
Speakers:
Sneha Mikkilineni Durga (Royal Bank of Canada) - https://www.linkedin.com/in/snehamd/
Lakshmi Baskaran (MetaData) - https://www.linkedin.com/in/lakshmibaskaran/
Apoorva Masurkar (Former RBC) - https://www.linkedin.com/in/apoorvamasurkar/
Online Event on 14th March 2024, 5:30 pm -7 pm. Registration on OneSchulich is a must to see the zoom link!
Dress Business Casual
Speakers
Lakshmi Baskaran
VP of Engineering | Angel Investor | Keynote Speaker | Advisor for Tech Startups
MetaData
https://www.linkedin.com/in/lakshmibaskaran/
I am an Engineering leader, entrepreneur and an angel investor with more than 15 years of experience in start-ups, scale-ups and enterprises building B2B SaaS and B2C products. I have lead team sizes ranging from 60 to 300 engineers across the following functions: Product Development, Platform Engineering, Data Science, Data engineering, Site Reliability Engineering and Native Mobile Development.
Career Accomplishments:
• Successfully managed and delivered 14 large-scale enterprise technology projects, with budgets ranging from $30M to $80M.
• Have created three core product lines from zero to one and scaled up to 50M users.
• Steered three organizations through fundraising totaling 100M with top-tier venture partners.
• Finalist for the Canadian Women in Technology 2022 Awards as the best Female Lead Engineering Organization.
Sneha Mikkilineni Durga
Lead Data Engineer
Royal Bank of Canada
https://www.linkedin.com/in/snehamd/
As a proficient Data Engineer, my specialization lies in the construction of intricate data pipelines. I have effectively resolved complex architectural and scalability challenges in the Healthcare, Telco, and Financial Services sectors. My proficiency encompasses both analytics and engineering, with a notable focus on producing valuable and pragmatic solutions through the utilization of data and advanced data-driven methodologies.
