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Connor Hazen
Student at Duke University
Professional Background
Connor Hazen is an ambitious and dedicated student currently in his senior year at Duke University, where he is pursuing a Bachelor of Science degree in Computer Science, Statistics, and Physics. With an impressive interdisciplinary approach, Connor combines elements from each field to equip himself with a robust skill set, enabling him to tackle complex problems using quantitative analysis, programming, and scientific principles. His current interests are gravitating towards cutting-edge areas such as Machine Learning and Algorithm design, showcasing his commitment to staying at the forefront of technological advancements.
Over the years, Connor has developed notable professional experience through a variety of roles that have enriched his understanding of both theoretical and practical aspects of technology and data science. His tenure as the General Project Manager at Phoenix Project exemplifies his leadership and organizational skills, where he was responsible for overseeing project timelines, resource allocation, and ensuring successful completion of team objectives. This role not only refined his project management capabilities but also enhanced his ability to work collaboratively with diverse teams.
In addition to his leadership experiences, Connor has served as an Undergraduate Teaching Assistant at Duke University. In this capacity, he worked closely with professors and fellow students to foster a collaborative learning environment. His enthusiasm for knowledge sharing and his passion for computer science were pivotal in helping students grasp complex concepts and succeed in their coursework. This experience underlines Connor's commitment to academic excellence and mentorship, making him a valuable asset within the educational sphere.
Connor's role as a Data Science Intern at System1 provided him with hands-on experience in the real-world application of his academic training. During his internship, he engaged in analyzing large datasets, building predictive models, and creating data visualizations to derive actionable insights. This experience solidified his programming skills, particularly in languages commonly used in data science, and gave him a taste of what it’s like to contribute to a fast-paced technology company.
Furthermore, Connor's role as a Technical Theater Specialist at Palm Theatre reflects his versatile talents and ability to adapt his technical skills to a creative context. In this position, he employed problem-solving skills and attention to detail to manage lighting and sound for various performances, showcasing his technical proficiency and ability to work under pressure.
Education and Achievements
At Duke University, Connor is immersed in a challenging curriculum that spans Computer Science, Statistical Science, and Physics. His academic journey is underscored by his commitment to not only achieving high grades but also understanding the intricacies of each discipline. The intersectionality of Computer Science, Statistics, and Physics allows Connor to approach problems from a unique perspective, combining analytical thinking with computational skills to address pressing challenges in technology and science.
In addition to his rigorous coursework, Connor is dedicated to continuously broadening his horizons through classes and projects that delve deeper into specialized areas of interest, particularly in Machine Learning and Algorithm Design. Following current trends, he actively seeks opportunities to apply theoretical knowledge in practical environments, ensuring he remains well-prepared for a rapidly evolving job market.
As he approaches graduation, Connor has been recognized for his academic efforts and contributions, reflecting the caliber of student he is admired for—dedicated, inquisitive, and collaborative. His professors and peers commend his ability to synthesize information and apply it effectively, a testament to his future potential in the tech industry.
Achievements
While Connor is still on his academic journey, his proactive involvement in various roles has begun to paint a picture of his professional trajectory. As a General Project Manager at Phoenix Project, he successfully led a team through the complexities of project planning and execution, delivering tangible results on time. His ability to manage multiple tasks and communicate effectively with his team members proved invaluable in the success of the organization's objectives.
Moreover, his experience as a Data Science Intern at System1 enabled him to contribute significantly to the company's data initiatives. He cultivated skills that are critical to the modern workforce, such as data analysis, programming, and visualization, setting a solid foundation for his future career endeavors.
Being named the Undergraduate Teaching Assistant at Duke University highlights his capacity to not only grasp difficult technical concepts but also break them down for others, fostering an engaging learning environment. This role has not only enhanced his resume but also expanded his professional network within the academic community, positioning him well for future opportunities in both industry and academia.
In various capacities, Connor's journey through education and professional participation has been marked by a series of accomplishments that indicate a promising career ahead. As he prepares to graduate from Duke University, he is eager to apply his extensive knowledge base, leadership experiences, and technical skills in the realm of Computer Science, particularly in the fields of Machine Learning and Algorithm Design.
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Clay 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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- Reminders and Notes: Helps you remember important details about contacts
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- 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
Clay 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, Clay 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 Clay 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 Clay 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.
Clay 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. Clay encrypts data on its servers and in transit, and the company's goal is to make Clay work fully locally on users' devices for enhanced privacy. Clay is also SOC 2 Type 2 certified.
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Clay 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. Clay offers a Pro Plan ($10 when billed annually) with unlimited contacts. Clay for Teams starts at $49/month/seat. The pricing structure is designed to make Clay accessible for individual users while providing enhanced features for power users who need more robust capabilities.
Yes, Clay offers extensive integration capabilities. Clay introduced a new Integrations Catalog that centralizes information on all of the products and services Clay 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. Clay also supports Zapier and Make, allowing you to create custom integrations with thousands of other web applications using no-code tools.
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Clay 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. Clay 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, Clay 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.
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Clay offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Clay 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. Clay's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Clay has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Clay 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 Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay 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, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
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Yes. Clay 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.
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Clay's AI capabilities are at the forefront of personal CRM innovation. Nexus, Clay'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, Clay has embraced AI to provide deeper insights and more natural interaction with your relationship data.
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