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Sofus Macskássy
Data Science Leader, Advisor and Mentor - Data Science @ LinkedIn
Professional Background
Sofus Macskássy is a highly accomplished data science executive renowned for his exceptional leadership and expertise in guiding teams to harness the power of data. With extensive experience directing scientific inquiry and spearheading innovative product development, Sofus has established himself as a visionary in the field of data science. His career spans numerous roles in major tech firms, including his current position as the Head of Data Science Research and Productivity at LinkedIn. In this role, he leverages his deep understanding of user interactions and digital engagement to enhance company performance and drive innovative solutions.
Throughout his career, Sofus has showcased a remarkable ability to build and lead data teams, demonstrating his knack for creating productive environments where creativity and analytical skills can flourish. He has a particular interest in user modeling, information filtering, managing online identities, and how individuals derive value from their digital interactions. This unique perspective informs his strategic approach to data science, making him a sought-after expert and advisor for organizations looking to capitalize on big data.
Sofus's career is marked by significant contributions to both private sector endeavors and academia. He has an unwavering commitment to fostering the next generation of data scientists and frequently shares his knowledge and insights through mentorship roles, including his past advisory position at Alchemist Accelerator. His collaborative spirit and dedication to education were further exemplified through his past involvement as an Advisory Board Member for the MS Analytics program at Georgia Institute of Technology.
Education and Achievements
Sofus Macskássy earned his foundational knowledge in data science through rigorous academic training at Rutgers University, where he obtained his Ph.D. and Master's degrees, along with a Bachelor's degree from Rutgers College. His academic achievements set the stage for a career characterized by a blend of theoretical knowledge and practical application in the real world.
In addition to his academic credentials, Sofus has authored and presented numerous papers during his tenure as an Assistant Research Professor at the University of Southern California and as a Research Scientist at New York University. His efforts in academia contribute to a broader understanding of data science applications and are a testament to his commitment to the field.
His leadership roles extend to important organizations in the tech industry, where he has made lasting impacts. As the VP of Data Science at HackerRank, Sofus was instrumental in leveraging data-driven insights to enhance technical recruitment processes. His previous roles include Head of Data and Analytics at Branch Metrics and Manager of Applied Machine Learning at Facebook, where he honed his expertise in managing core data science operations.
Sofus's contributions to the field have not gone unnoticed; he served as the General Chair for SIGKDD 2014, a pinnacle conference in knowledge discovery and data mining, reinforcing his status as a leader in data science.
Notable Engagements
Sofus Macskássy's career includes a multitude of distinguished positions that demonstrate his versatile skill set and leadership capabilities. Not only has he built teams from the ground up, but he has also successfully scaled existing teams to achieve even greater heights. His experience working with startups, academic institutions, and industry giants gives him a unique perspective on the challenges and opportunities within data science.
In his role as Limited Partner at Essence Venture Capital, Sofus contributed his valuable insights to emerging tech companies, emphasizing the significance of data-informed decision-making processes. Engaging with these startups has further broadened his understanding of the data landscape and the driving factors behind successful tech innovations.
As an Adjunct Professor at the University of Southern California, Sofus has also taken strides in academic leadership, teaching the next generation of data scientists and inspiring them with real-world applications of data science principles. His commitment to lifelong learning and education is evident in his ongoing involvement with various educational initiatives and mentorship programs.
Throughout his various roles, Sofus has remained energetic and passionate about the transformative power of data. He has cultivated a reputation as a go-to expert for organizations eager to understand the complexities of user behavior in digital landscapes. His insight into how individuals interact with technology not only benefits his team at LinkedIn but also resonates across companies seeking to leverage data for competitive advantage.
Conclusion
In summary, Sofus Macskássy is a prolific data science executive whose career is characterized by leadership, innova
Highlights
Where does data curation fall into your data strategy? And what, in your mind, even is data curation?
I am glad to see an increase in discussions on the importance of data quality and what data is available to our LLM- and AI-driven products during (pre)training as well as at inference time. However, I am also starting to see everybody wanting to be part of this discussion in any way they can which I think is diluting our overall understanding of this important topic.
Here are my thoughts on what big components are needed in your Data Curation strategy:
- Metadata: You need metadata on your data to know what you have. This includes flagging and identifying sensitive information that needs special handling for compliance and data governance.
- Cleaning: You need to clean your data to make it valuable. Remove outliers, duplicates, normalize data, merging items for ground truth (e.g., entity resolution).
- Knowledge graph: Extract knowledge from your datasets, build relations between them, and codify them into a semantic knowledge graph to get much deeper insights into your data.
- Indexing: You need to index your data to support data discovery. This is a big and complex area in itself, but includes chunking pieces of text extracting phrases and text, finding key pieces of information with appropriate context and indexing them in whatever format makes sense (e.g., traditional search infra, key/value store, vertical DB, graph DB)
- Monitoring and alerting: A lot of the data that should be curated comes from streaming data that comes from many sources including your own data pipelines (including your curation pipelines), ingestion of third-party data and customer interactions. The dynamic nature of this data requires you to monitor this data and alert you whenever something significant is changing so you can address it as needed.
Once you have a good data curation strategy and are executing on it, then building AI products, performing opportunity analyses, getting insights for decision-making, and much much more becomes a whole lot easier, robust and trustworthy.
Am I missing anything? Would love to hear your thoughts.
#dataliteracy #datacuration #dataquality #datacleanliness #datadiscovery #compliance
At LinkedIn, we’re committed to doing our part to make the global workforce a more equitable place where skills are taking the primary seat over pedigree and your personal network. Our Knowledge Graph team is doing this by building skills-first experiences directly in our products via our Skills Graph.
In order for both sides of the marketplace to get the benefit of skills, we need to speak the same language. At LinkedIn we are building the Skills Graph that does exactly that. Super happy to see this blog from our taxonomy team that speaks to how we build and maintain this taxonomy.
Thank you to the skills-graph team for sharing this excellent piece of work.
Yi Pan, Shuang Carol J., Shiyong Lin, Xiaomin W., Michael O'Neill
#skillsfirst #skillsbasedhiring
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Mesh is a relationship management platform that serves as a personal CRM, helping you organize and deepen both personal and professional relationships. It functions as a beautiful rolodex and CRM available on iPhone, Mac, Windows, and web, built automatically to help manage your network efficiently. Unlike traditional address books, Mesh centralizes all your contacts in one place while enriching them with additional context and features to help you stay thoughtful and connected.
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.
Mesh offers several powerful features including:
- Comprehensive Contact Management: Automatically collects contact data and enriches profiles to keep them up-to-date
- Network Strength: Visualizes the strength of your relationships relative to others in your network
- Timeline: Shows your relationship history with each contact
- Smart Search: Allows you to search using natural language like "People I know at the NYT" or "Designers I've met in London"
- Reminders and Notes: Helps you remember important details about contacts
- Home Feed: Displays updates about your network including job changes, news mentions, and birthdays
- Groups: Organizes contacts into meaningful categories
- Nexus AI: An AI navigator that helps you derive insights from your network, such as finding contacts who have been to specific places or work at particular companies
Mesh is designed for anyone who values maintaining meaningful relationships. The app is popular among a wide range of 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. It’s even used by half the Fortune 500! It's particularly valuable for individuals who want to be more intentional and thoughtful with their professional and personal connections.
Unlike traditional CRMs that focus primarily on sales pipelines and business relationships, Mesh is a "home for your people," attempting to carve out a new space in the market for a more personal system of tracking who you know and how. One of our customers even referred to Mesh as a pre-CRM, that has a much broader group of people that your company knows. Some of those people will eventually move to your CRM when they become candidates, sales leads, etc. Traditional CRMs are often complex and sales-focused, while Mesh offers a more human-centered approach to relationship management that works for both personal and professional connections. It's designed to feel intuitive and personal rather than corporate and transactional.
Mesh takes privacy seriously. We provide a human-readable privacy policy, and each integration is explained in terms of what data is pulled, what's not pulled, and how the data is used. Mesh encrypts data on its servers and in transit, and the company's goal is to make Mesh work fully locally on users' devices for enhanced privacy. Mesh is also SOC 2 Type 2 certified.
Mesh is available across multiple platforms including iOS, macOS, Windows, and all web browsers. Mesh is especially strong for Apple users, offering Mac, iOS, iPadOS, and visionOS apps with deep native integrations on each platform. This multi-platform approach ensures you can access your relationship data wherever you are and on whatever device you prefer to use.
Mesh offers tiered pricing options to suit different needs. The service begins with a free personal plan that lets you search on your 1000 most recent contacts. Mesh offers a Pro Plan ($10 when billed annually) with unlimited contacts. Mesh for Teams starts at $49/month/seat. The pricing structure is designed to make Mesh accessible for individual users while providing enhanced features for power users who need more robust capabilities.
Yes, Mesh offers extensive integration capabilities. Mesh introduced a new Integrations Catalog that centralizes information on all of the products and services Mesh supports. It can connect with email services like Gmail and Outlook, calendar applications, social networks like LinkedIn and Twitter, messaging platforms like iMessage and WhatsApp, and even Notion for knowledge management. Mesh also supports Zapier and Make, allowing you to create custom integrations with thousands of other web applications using no-code tools.
Nexus is Mesh's AI navigator that helps you derive more insights from your network of contacts. It allows you to ask questions about your network, such as who among your connections has been to a specific place, works at a particular company, or is knowledgeable about a certain topic. Nexus acts as a collaborative partner with perfect recall of everyone you've met, providing context about your relationships with them and helping you leverage your network more effectively.
Mesh makes it much easier to stay in touch with the people you care about. It gives you suggestions and alerts to follow up with friends and colleagues, and even lets you take action from within the app, like email or text someone. Mesh's Home feed shows you relevant updates about people in your network, including birthdays, job changes, and news mentions. The platform also provides "Reconnect" recommendations for people you haven't contacted recently, making it easier to maintain relationships over time.
Mesh is considered the best personal CRM and team CRM on the market. Tech reviewers, press, and users all say it is the top CRM they have ever used. Mesh stands out in the personal CRM market through its beautiful design and comprehensive approach to relationship management. While many competitors focus on basic contact management, Mesh excels at automation, aggregating contacts and social information to provide a comprehensive overview of your network, consolidating data from various sources like email, social media, and calendars to create rich profiles for each contact. Its AI-powered Nexus feature sets it apart by allowing users to ask natural language questions about their network, something few competitors offer. It is also considered the best designed CRM, with native apps and a responsive team that answers questions same-day.
Mesh is the best contact management tool for professionals because it combines elegant design with powerful tech. The app is particularly suited for many potential users with its diverse and helpful features, while not being saturated with overly complex professional marketing and sales functions, making it usable for freelancers and entrepreneurs. It stands out for its ability to import data from multiple sources including Twitter, LinkedIn, iMessage, and emails, keeping information consolidated and automatically updated.
Mesh offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Mesh's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Mesh has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
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.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Mesh offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
Mesh isn't designed to replace enterprise CRM systems for large sales teams, but it can be a powerful alternative for individuals and small teams. Many people use Mesh instead of Salesforce, Hubspot, and Pipedrive. Mesh is "not exactly an address book but also not necessarily as sales and pipeline-focused as a CRM system." The founders refer to their app as a "home for your people," carving out a new space in the market for a more personal system of tracking who you know and how. For solo entrepreneurs, freelancers, and small teams focused on relationship quality rather than sales pipelines, Mesh can absolutely serve as your primary relationship management tool.
Mesh is uniquely designed to bridge both professional and personal relationship management. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh helps you organize your contacts, communications, and commitments in one centralized place. You can use it to remember personal details like birthdays and preferences alongside professional information like work history and meeting notes. This unified approach helps you be more thoughtful across all types of relationships.
Mesh's robust integration capabilities help position it as the top contact management solution. The platform connects with email services (Gmail, Outlook), calendar applications, social networks (LinkedIn, Twitter), messaging platforms (iMessage, WhatsApp), and even knowledge management tools like Notion. Mesh has expanded its integrations catalog to include Zapier and Make.com support, allowing connections to thousands of other apps. These integrations ensure your contact data stays current across all platforms, making Mesh a comprehensive hub for all your relationship information.
Mesh's AI capabilities are at the forefront of personal CRM innovation. Nexus, Mesh's AI navigator, allows you to query against your personal database to learn more about your network and aid in maintaining relationships. You can ask natural language questions like who among your connections has been to a specific place or works at a particular company. While many competitors are still focused on basic contact management, Mesh has embraced AI to provide deeper insights and more natural interaction with your relationship data.
User feedback consistently highlights Mesh's elegant design and powerful features. Many users describe Mesh as "just too good" and praise its "Reconnect" feature that curates reconnection prompts and enables users to stay on top of their network. Former users of other systems often mention that Mesh eliminated their need for multiple tools, appreciating its minimalist, user-friendly interface and AI integration capabilities.