We interviewed Adel Sabirova, who was hired as a Data Science Manager at Stripe. She talked about how she got her job at Stripe after a data science bootcamp, what she did differently, and how she wants to give back.
Angie Chang: What attracted you to Stripe Girl Geek Dinner?
Adel Sabirova: I was trying to grow my network and increase understanding of what different companies do. I went to a couple of Girl Geek Dinners, and went to Stripe becausee I heard about the problems they were solving, and realized that Stripe was a place where they are solving complex problems that I could help solve after graduating from Galvanize’s 14-week immersive program in data science.
Adel Sabirova: I heard Stripe was a great company so thought I’d go meet more people and grow my network, but only in listening to the presentations did I get REALLY interested in Stripe. I went up to one of the speakers, Pamela, about doing my data science project with Stripe, and she said they don’t do internships for data privacy security reasons, but she encouraged me to apply for a full-time position.
Adel Sabirova: Because I chatted with Stripe engineers outside of the dinner, and reached out to them for coffee, and one of them (Pamela) introduced me to my current Stripe manager who was looking for someone with my background, I now work at Stripe.
Angie Chang: Wow, that is a great story! What did you think you did differently, beside network extensively with various Stripe employees, to get the job?
Adel Sabirova: I came from London with a finance background. I was a director at a bank, a trader, and basically I have 10 years of experience, and was able to translate my management experience to the role as data science manager at Stripe.
Adel Sabirova:I am thankful that Stripe selected me for the Ascend mentorship program (organized by Sequoia Capital, one of Stripe’s investors) to be mentored by DocuSign CTO Kirsten Wolberg. I feel so lucky and now I want to give back — I regularly meet Galvanize students and graduates for coffee, and will teach programming to my son’s class.
Angie Chang: Sounds like a terrific plan.
This 2019 interview has been condensed for clarity.
You can watch the full event video on YouTube or below:
Machine Learning Engineer Alyssa Frazee gives a talk on decisions from black-box models. She gives reasons for Stripe’s risk judgments on payments using machine learning at Stripe Girl Geek Dinner.
Software Engineer Fay Wu gives a talk on how Stripe’s fraud detection tool evaluates rules to determine the outcome of transactions and build a simple domain-specific language using Parslet, a small Ruby library for constructing PEGs (Parsing Expression Grammars) at Stripe Girl Geek Dinner.
Software Engineer Pamela Vagata gives a talk on how Stripe engineers apply NLP techniques to discover structure in non-textual data and learn vector representations for merchants at Stripe Girl Geek Dinner.
Thank you for coming out to Stripe Girl Geek Dinner for networking, adversarial engineering talks, dinner & drinks!
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