我们的服务
Toptal’s 预测分析服务 empower organizations to make insightful decisions. Our solutions combine cutting-edge technologies with a wide range of predictive analytics methods, 从模型开发到部署, 优化经营策略，预测决定性结果.
发现 the right predictive analytics solution for your needs
立即获得免费咨询我们的预测分析团队, 有在大公司工作的经验, will work with you to develop and deploy tailored solutions that meet your business needs and unique industry demands, 为您提供可持续的结果和长期的成功.
数据分析主管作为Toptal全球数据的领导者 & 分析咨询实践, Chas drives the development and delivery of predictive analytics solutions, leveraging teams of top talent to execute high-complexity projects. He's also been instrumental in advancing the application and integration of data science and AI strategies in many Fortune 100 companies. 作为Toptal全球数据的领导者 & 分析咨询实践, Chas drives teams of top talent to develop and deliver complex predictive analytics solutions. He’s also been instrumental in advancing the application and integration of data science and AI strategies in many Fortune 100 companies.
以前在
实践中铅
Chas领导Toptal的数据分析业务, delivering AI solutions for complex challenges by leveraging top-tier talent. He has a strong background in management consulting with a track record of empowering Fortune 500 companies, 私募股权公司, 和中小企业最大化他们的数据. 在加入Toptal之前，查斯是贝恩不可或缺的一员 & 公司’s 数据科学 group, developing data and AI strategies for numerous Fortune 100 companies.
以前在
技术经验
10 +年
交付经理
Lauren serves as the Senior Director of 成功交付 at Toptal with a focus on driving high-impact innovation and implementing cutting-edge technologies across diverse client portfolios, 从全球初创企业到财富500强企业. 她在产品策略方面的专长, 程序开发, and performance optimization contributes to her success in crafting forward-thinking solutions that redefine success in the ever-evolving tech landscape.
以前管理的客户
技术经验
10 +年
13年以上
的经验
有Ph值.D. 在物理, 数学背景, 还有超过13年的真实世界数据建模经验, Teresa具备胜任任何数据科学职位的技能. Teresa enjoys working on the whole pipeline from data cleaning and analytics to a final predictive model, 特别是使用机器学习模型.
以前在
5 +年
的经验
Dragos is a passionate 机器学习 engineer with over five years of experience in artificial 英特尔ligence. He is well-grounded in natural language processing, Python, and SQL. Dragos has an excellent knowledge of deep learning frameworks such as TensorFlow and PyTorch.
以前在
24年以上
的经验
Stephane possesses an impressive 24 years of international experience in data analytics and business process optimization. 在他的职业生涯中, 他在各个领域都很出色, 包括数据库设计, 商业智能(BI), 机器学习算法, 大数据, 预测分析. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.
以前在
24年以上
的经验
Denis是一名高级全栈人工智能工程师和数据科学家, 精通现代生成技术(GPT-4), Midjourney, 和更多), 机器学习, ETL管道, 数据分析, 数学建模, 大数据, 和MLOps. 他有数学博士学位, and his data science expertise includes probabilistic risk modeling, 收入预测, 地理空间数据分析, 手写识别, 时间序列中的异常检测, 工程数据, 以及团队领导.
以前在
18 +年
的经验
Emilio is a computer science engineer and MBA graduate with 18+ years of experience helping businesses define and analyze their KPIs across marketing, 销售, 操作, 和金融. He is skilled in SQL and has been working with Tableau since 2011, developing all data integration required to feed Tableau from any data source. 作为Tableau的顾问和培训师, Emilio can quickly interpret the business needs and build insightful dashboards.
以前在
19年以上
的经验
Abhimanyu is a 机器学习 expert with more than 19 years of experience creating predictive solutions for business and scientific applications. 他是一个跨职能的技术领导者, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, 大数据, 算法, 数据库, 分布式系统.
以前在
16年以上
的经验
With extensive expertise in engineering and project management, 特别是在敏捷方法中, Mihaela excels in driving digital projects from discovery to production. Her leadership promotes team collaboration and exceeds client expectations. Known for fostering innovation and improving processes, she thrives on challenges. 她对生成式人工智能的精通, enriched by courses like "Prompting for AI Operations" and "ChatGPT Advanced 数据分析,这让她站在了行业的最前沿.
以前在
23 +年
的经验
Alex has over 23 years of experience in software development and data science. He has worked for large companies building enterprise-scale software and on small agile teams and solo projects. Alex负责数据分析, 数据可视化, and predictive modeling with a heavy emphasis on financial and time-series data over the past decade.
以前在
20年以上
的经验
Daphne is a highly motivated 大数据 analytic architect and SQL/Tableau developer with strong business analytic solution delivery skills and 20 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business 英特尔ligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.
以前在
6年以上
的经验
Karanpreet is an experienced data engineer with a solid background in working with multiple leading international enterprise clients across the retail and investment banking domain.
以前在
14年以上
的经验
Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies like Procter & Gamble and Hearst and startups in the healthcare, energy, 和金融 industries. Joao holds a master's degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.
以前在
17年以上
的经验
Thomas has 17+ years of experience in risk modeling and causal inference and has managed over €1 million in research funds as a scientist. 自2019年以来, he has worked as an independent contractor for various global pharmaceutical companies and CROs. His goal is to improve data-driven decision making by adopting state-of-the-art analysis methods and delivering scientific scrutiny in a timely fashion.
以前在
9年以上
的经验
Carson is a seasoned product manager with 9+ years of experience designing data-intensive solutions. 他开发了各种各样的产品, from early warning systems to high-throughput data architectures and software-as-a-service cloud components. 卡森是一位战略思想家, passionate about helping businesses scale through data-driven design and automation, who has made outstanding contributions to both Fortune 500 companies and hypergrowth tech unicorns.
以前在
18 +年
的经验
Simone is a 机器学习 scientist and engineer with experience in academia and enterprises, 包括微软和华为. He likes to work at the intersection of deep 机器学习, NLP, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound 机器学习 pipelines ready for production. 他特别喜欢开发网络产品.
以前在
14年以上
的经验
Oliver is a versatile data scientist and software engineer combining over a decade of experience and a postgraduate mathematics degree from Oxford. Career assignments have ranged from building 机器学习 solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs. 有了这样的背景, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding of businesses.
以前在
无与伦比的专业知识
有在世界领先公司工作的经验, our talent bring valuable insights and expertise to ensure world-class outcomes.
为什么组织选择我们
发现 the cutting-edge benefits our clients enjoy from the global Toptal network.
挖掘实时数据将改变行业的游戏规则.
Precision Drilling与Toptal合作建造Clarity, a 数据可视化 platform that cut analysis time from months to seconds.
挑战: Precision Drilling wanted to develop cutting-edge 数据可视化 software that could accelerate the analysis of drilling rig performance data and provide increased value to its customers.
解决方案: Toptal assembled a team of industry experts to help Precision realize its vision. 这个团队开发了Clarity, a state-of-the-art 数据可视化 platform that delivers real-time insights.
影响: The platform serves as a central hub for real-time and historical rig fleet performance data, significantly boosting efficiency and enabling instant communication of results across the organization.
It wasn’t a customer-vendor relationship; it was more of an integrated relationship.
Shuja Goraya，精密钻井技术总监
我们的思想领导力
Read the latest articles and resources to keep you current on emerging trends in predictive analytics, AI, 数据挖掘, 统计的见解, 机器学习和更多.
Retailers often face supply and demand issues that cause them to miss out on potential 销售 or tie up a lot of money in overstocked products. 在本文中, Toptal 数据科学家 艾哈迈德·哈立德 explains how retailers can boost revenues and cut costs with 销售 forecasts backed by artificial 英特尔ligence.
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