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He Jingang
Quantitative Researcher at Balyasny Asset Management L.P.
Professional Background
He Jingang is a highly motivated Financial Mathematics student with a deep passion for machine learning, quantitative strategy, and sports analytics. He has been actively seeking opportunities to leverage his knowledge and skills in these domains as he aims for a career as a quantitative and machine learning researcher. His professional journey has equipped him with valuable experience in supervised learning, statistical hypothesis testing, and numerical methods, including Markov Chain Monte Carlo (MCMC), which has honed his analytical skills and technical proficiency.
Currently, He Jingang serves as a Quantitative Researcher at Balyasny Asset Management L.P., where he is actively involved in research and application of quantitative strategies in financial markets. His tenure in finance began with his role as a Data Engineer at Clear Street and was preceded by key positions, including machine learning roles at quantPort and Jefferies. During his time at Jefferies, he worked as a ML/AI Engineer Summer Intern, where he contributed significantly to various machine learning projects. His varied experience also includes working as a Teaching Assistant at New York University, where he supported the delivery of courses in mathematics and finance, and as a Software Engineer at VoxelCloud.
His robust experience as a Research Assistant at the University of California, Los Angeles, and as a Lab Assistant at Fudan University demonstrates his commitment to academic excellence and research, which complemented his academic studies and practical applications in finance and technological innovations.
Education and Achievements
He Jingang's educational journey has been nothing short of impressive. He is currently pursuing a Master of Science (M.S.) in Mathematics in Finance at New York University, a program renowned for its rigorous curriculum that integrates finance theory with quantitative analysis and advanced mathematics. His studies there enable him to engage deeply with topics related to probabilistic models, financial analytics, and portfolio theory, all critical aspects of quantitative finance.
Prior to this achievement, he pursued studies in Physics and Computational Mathematics at the University of California, Los Angeles, where he gained a solid grounding in mathematical concepts and scientific computing, which further bolstered his analytical thinking. This combination of coursework and practical experience positions him well to understand and navigate complex financial models as well as high-performance computational systems.
Achievements
He Jingang has developed a range of technical skills and proficiencies throughout his academic and professional journey. He is a seasoned coder, proficient in Python, Java, and C++, which are critical programming languages in the fields of machine learning and quantitative analysis. His coding experience allows him to elaborate advanced algorithms and models used in sports analytics and finance. Moreover, his enthusiasm for application in sports analytics reflects his diverse interests and innovative thinking—enabling him to explore intersections between statistical learning and performance analytics in sports.
He actively seeks opportunities for coffee talks and networking engagements to discuss the applications of machine learning in finance and sports, demonstrating his proactive approach to personal and professional growth. He understands the importance of community and collaboration in the field, which can further enhance his knowledge and support his career ambitions.
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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.
Clay offers several powerful features including:
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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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