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Bilal Shaw
Senior Director of Data Science
Bilal Shaw is a Senior Director of Data Science Global Fraud Analytics at TransUnion. He has extensive experience in various application areas, including marketing, identity resolution, fraud prevention, and internet security.1
Professional Background
Bilal has a proven track record in the field of data science and analytics. He currently leads a team focused on fraud analytics, demonstrating his expertise in this critical area of financial security.2 His role involves overseeing data science initiatives related to global fraud detection and prevention at TransUnion.
Areas of Expertise
Bilal's expertise spans several key areas:
- Fraud Analytics: He leads a team dedicated to fraud prevention and detection.2
- Data Science: As a Senior Director, he manages and guides data science projects and teams.
- Marketing Analytics: His experience includes applications in marketing.1
- Identity Resolution: He has worked on identity-related data projects.1
- Internet Security: Bilal has experience in the field of internet security.1
Recent Activities
Bilal is active on LinkedIn, where he shares insights and opportunities related to his field:
- In August 2023, he posted about a Lead Data Scientist position for the Costa Rica Fraud Analytics team.2
- He has shown interest in emerging technologies, such as quantum communications, as evidenced by his LinkedIn activity.3
Bilal Shaw's professional profile demonstrates a strong background in data science with a particular focus on fraud analytics, making him a key figure in TransUnion's efforts to combat financial fraud on a global scale.
Highlights
No deep thoughts today. Just sunshine, water, reading, and exercise.
I wrote a recent white-paper titled: "Improving Fraud Ring Detection Using Machine Learning to Reduce Credit Card Application Fraud" with my colleague Quentin Spencer. I've included the link below which might be behind an information wall (FYI, you've been warned!).
https://lnkd.in/gJAe9T9p
This was a fun collaboration with Quentin Spencer. I think we are fortunate to live and work at a time when so much data and compute are available at our fingertips. This also puts the burden on folks like us to be responsible caretakers and curators of these data. There are several folks here at TU who helped along the way. My supervisors Brad Daughdrill, PhD and Robert Stratton read the paper and provided valuable feedback. Additionally, Mike Russell read the initial drafts and gave us some good pointers. Then there's a whole other internal team at TU responsible for shepherding interesting studies and ensuring that they see the light of day. These are the folks behind the look-and-feel of the TU brand, but also the ones who ensure that what we publish on the Internet is the genuine article.
In other words, it really takes a village to create a rigorous analytical study around a human propagated phenomenon that affects us all. This is just our small contribution to the growing literature around fraud and the various forms that it continues to take on.
I'd like to thank each and every one at TU who helped Quentin Spencer and me along the way. Well, on to the next paper, and yeah it's going to be a doozy! :)
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Mesh works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
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Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
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