Solmaz Shahalizadeh's guest appearances

Solmaz Shahalizadeh

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Power of Why with Naomi Haile

Towards Data Science

Emmanuel Ameisen

Tim Rocktäschel

Mike Tung

Ayanna Howard

Margaret Mitchell

Jeremy Howard

Ben Lorica

Melanie Mitchell

Roland Memisevic

Max Welling

David Duvenaud

Chelsea Finn

Dario Amodei

Jianxiong Xiao

Kate Darling

OwlTail

Data, machine learning and AI augments impact across sectors, creating life changing technologies that transform how we live, work and play. But to drive meaningful change, we need equitable representation among the leaders driving its evolution. That's why Solmaz Shahalizadeh, Shopify's former Head of Data Science and Engineering, became a Founding Partner of Backbone Angels: investing in women and non-binary founders with a focus on investments in Black, Indigenous, and Women of Colour-led companies. She joins us to share why great career paths aren't linear, what you need to know to impress investors, and the difference between sponsors and mentors (and why you should have both). This episode is for you if:  You’re a woman in STEM You want to understand why data is so important You’re a founder who wants to leave a good impression on investors You want to advance in your career but don’t know how to approach people for help  Connect with Solmaz Shahalizadeh  Website: www.backboneangels.com LinkedIn: Solmaz Shahalizadeh Twitter: @solmaz_sh  Connect with Naomi  Website: naomihaile.com Instagram: @naomiahaile Twitter: @naomiathaile LinkedIn: Naomi Haile  This episode is brought to you in collaboration with Invest Ottawa, lead economic development agency for Canada’s Capital. We teamed up to produce this special series to celebrate women leading in Ottawa for International Women’s Week. In support of its Women Founders and Owners strategy, Invest Ottawa offers programs and services that enable and accelerate the growth and success of women entrepreneurs from every walk of life. Visit www.investottawa.ca/women to learn more!

Data, machine learning and AI augments impact across sectors, creating life changing technologies that transform how we live, work and play. But to drive meaningful change, we need equitable representation among the leaders driving its evolution. That's why <a href="https://ca.linkedin.com/in/solmazshahalizadeh" rel="nofollow" target="_blank">Solmaz Shahalizadeh</a>, Shopify's former Head of Data Science and Engineering, became a Founding Partner of Backbone Angels: investing in women and non-binary founders with a focus on investments in Black, Indigenous, and Women of Colour-led companies. She joins us to share why great career paths aren't linear, what you need to know to impress investors, and the difference between sponsors and mentors (and why you should have both). This episode is for you if: <ul> <li>You’re a woman in STEM</li> <li>You want to understand why data is so important</li> <li>You’re a founder who wants to leave a good impression on investors</li> <li>You want to advance in your career but don’t know how to approach people for help</li> </ul> Connect with Solmaz Shahalizadeh <ul> <li>Website:<a href="https://www.neurovine.ai/" rel="nofollow" target="_blank"> </a><a href="http://www.backboneangels.com/" rel="nofollow" target="_blank">www.backboneangels.com</a></li> <li>LinkedIn: <a href="https://www.linkedin.com/in/solmazshahalizadeh/" rel="nofollow" target="_blank">Solmaz Shahalizadeh</a></li> <li>Twitter: <a href="https://twitter.com/solmaz_sh" rel="nofollow" target="_blank">@solmaz_sh</a></li> </ul> Connect with Naomi <ul> <li>Website: <a href="http://www.naomihaile.com/" rel="nofollow" target="_blank">naomihaile.com</a></li> <li>Instagram: <a href="https://www.instagram.com/naomiahaile/" rel="nofollow" target="_blank">@naomiahaile</a></li> <li>Twitter: <a href="https://twitter.com/naomiathaile" rel="nofollow" target="_blank">@naomiathaile</a></li> <li>LinkedIn: <a href="https://www.linkedin.com/in/naomihail/" rel="nofollow" target="_blank">Naomi Haile</a></li> </ul> This episode is brought to you in collaboration with <a href="https://www.investottawa.ca/" rel="nofollow" target="_blank">Invest Ottawa</a>, lead economic development agency for Canada’s Capital. We teamed up to produce this special series to celebrate women leading in Ottawa for <a href="http://www.investottawa.ca/IWW" rel="nofollow" target="_blank">International Women’s Week</a>. In support of its Women Founders and Owners strategy, Invest Ottawa offers programs and services that enable and accelerate the growth and success of women entrepreneurs from every walk of life. Visit <a href="http://www.investottawa.ca/women" rel="nofollow" target="_blank">www.investottawa.ca/women</a> to learn more!

The Power of Data, Women in Stem, and Sponsors With Solmaz Shahalizadeh

One of the themes that I’ve seen come up increasingly in the past few months is the critical importance of product thinking in data science. As new and aspiring data scientists deepen their technical skill sets and invest countless hours doing practice problems on leetcode, product thinking has emerged as a pretty serious blind spot for many applicants. That blind spot has become increasingly critical as new tools have emerged that abstract away a lot of what used to be the day-to-day gruntwork of data science, allowing data scientists more time to develop subject matter expertise and focus on the business value side of the product equation. If there’s one company that’s made a name for itself for leading the way on product-centric thinking in data science, it’s Shopify. And if there’s one person at Shopify who’s spent the most time thinking about product-centered data science, it’s Shopify’s Head of Data Science and Engineering, Solmaz Shahalizadeh. Solmaz has had an impressive career arc, which included joining Shopify in its pre-IPO days, back in 2013, and seeing the Shopify data science team grow from a handful of people to a pivotal organization-wide effort that tens of thousands of merchants rely on to earn a living today.

One of the themes that I’ve seen come up increasingly in the past few months is the critical importance of product thinking in data science. As new and aspiring data scientists deepen their technical skill sets and invest countless hours doing practice problems on leetcode, product thinking has emerged as a pretty serious blind spot for many applicants. That blind spot has become increasingly critical as new tools have emerged that abstract away a lot of what used to be the day-to-day gruntwork of data science, allowing data scientists more time to develop subject matter expertise and focus on the business value side of the product equation. If there’s one company that’s made a name for itself for leading the way on product-centric thinking in data science, it’s Shopify. And if there’s one person at Shopify who’s spent the most time thinking about product-centered data science, it’s Shopify’s Head of Data Science and Engineering, Solmaz Shahalizadeh. Solmaz has had an impressive career arc, which included joining Shopify in its pre-IPO days, back in 2013, and seeing the Shopify data science team grow from a handful of people to a pivotal organization-wide effort that tens of thousands of merchants rely on to earn a living today.

41. Solmaz Shahalizadeh - Data science in high-growth companies

The podcast you’re about to hear is the first of a series of shows recorded at the Georgian Partners Portfolio Conference last week in Toronto. My guest for this show is Solmaz Shahalizadeh, Director of Merchant Services Algorithms at Shopify. Solmaz gave a great talk at the GPPC focused on her team’s experiences applying machine learning to fight fraud and improve merchant satisfaction. Solmaz and I dig into, step-by-step, the process they used to transition from a legacy, rules-based fraud detection system system to a more scalable, flexible one based on machine learning models. We discuss the importance of well-defined project scope; tips and traps when selecting features to train your models; and the various models, transformations and pipelines the Shopify team selected; and how they use PMML to make their Python models available to their Ruby-on-Rails web application. The notes for this show can be found at twimlai.com/talk/60 For Series info, visit twimlai.com/GPPC2017

The podcast you’re about to hear is the first of a series of shows recorded at the Georgian Partners Portfolio Conference last week in Toronto. My guest for this show is Solmaz Shahalizadeh, Director of Merchant Services Algorithms at Shopify. Solmaz gave a great talk at the GPPC focused on her team’s experiences applying machine learning to fight fraud and improve merchant satisfaction. Solmaz and I dig into, step-by-step, the process they used to transition from a legacy, rules-based fraud detection system system to a more scalable, flexible one based on machine learning models. We discuss the importance of well-defined project scope; tips and traps when selecting features to train your models; and the various models, transformations and pipelines the Shopify team selected; and how they use PMML to make their Python models available to their Ruby-on-Rails web application. The notes for this show can be found at <a href="http://twimlai.com/talk/60" rel="nofollow" target="_blank">twimlai.com/talk/60</a> For Series info, visit <a href="http://twimlai.com/GPPC2017" rel="nofollow" target="_blank">twimlai.com/GPPC2017</a>

Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60