CSO & CTO, Technology Services
Ali is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity.
Previously At
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Toptal’s Predictive Analytics Services empower organizations to make insightful decisions. Our solutions combine cutting-edge technologies with a wide range of predictive analytics methods, from model development to deployment, to optimize business strategies and predict decisive outcomes.
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Get a Free Consultation NowOur predictive analytics team, with experience at leading companies, will work with you to develop and deploy tailored solutions that meet your business needs and unique industry demands, providing you with sustainable results and long-term success.
CSO & CTO, Technology ServicesAli is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity. He has worked across verticals and across a wide range of technologies including AI/ML, cloud, ERP, CRM, ITSM, cybersecurity, and others.Ali is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity.
Previously At
CSO & CTO, Technology Services
Ali is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity. He has worked across verticals and across a wide range of technologies including AI/ML, cloud, ERP, CRM, ITSM, cybersecurity, and others.
Previously at
Technology Experience
25+ Years
Delivery Manager
Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.
Previously Managed Client
Experience
9+ Years
13+ Years
of Experience
With a PhD in physics, a background in mathematics, and more than 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline, from data cleaning and analytics to a final predictive model, and she especially enjoys using machine learning models.
Previously at
5+ Years
of Experience
Dragos is a passionate machine learning engineer with over five years of experience in artificial intelligence. 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.
Previously at
24+ Years
of Experience
Stephane possesses an impressive 24 years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.
Previously at
24+ Years
of Experience
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Previously at
18+ Years
of Experience
Emilio is a computer science engineer and MBA graduate with 18+ years of experience helping businesses define and analyze their KPIs across marketing, sales, operations, and finance. 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. As a Tableau consultant and trainer, Emilio can quickly interpret the business needs and build insightful dashboards.
Previously at
19+ Years
of Experience
Abhimanyu is a machine learning expert with more than 19 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, 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, big data, algorithms, databases, and distributed systems.
Previously at
16+ Years
of Experience
With extensive expertise in engineering and project management, particularly within Agile methodologies, 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. Her mastery of Generative AI, enriched by courses like "Prompting for AI Operations" and "ChatGPT Advanced Data Analysis," places her at the industry forefront.
Previously at
23+ Years
of Experience
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 has undertaken data analysis, data visualization, and predictive modeling with a heavy emphasis on financial and time-series data over the past decade.
Previously at
20+ years
of Experience
Daphne is a highly motivated big data 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 intelligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.
Previously at
6+ years
of Experience
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.
Previously at
14+ Years
of Experience
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, and finance industries. Joao holds a master's degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.
Previously at
17+ Years
of Experience
Thomas has 17+ years of experience in risk modeling and causal inference and has managed over €1 million in research funds as a scientist. Since 2019, 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.
Previously at
9+ Years
of Experience
Carson is a seasoned product manager with 9+ years of experience designing data-intensive solutions. He developed a broad range of products, from early warning systems to high-throughput data architectures and software-as-a-service cloud components. Carson is a strategic thinker, 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.
Previously at
18+ Years
of Experience
Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, natural language processing, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.
Previously at
14+ Years
of Experience
Oliver is a versatile data scientist and software engineer with more than a decade of experience and a postgraduate mathematics degree from Oxford. With this combination, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding businesses, and his career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs.
Previously at
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UNRIVALED EXPERTISE
Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Precision Drilling partnered with Toptal to build Clarity, a data visualization platform that cut analysis time from months to seconds.
Challenge: Precision Drilling wanted to develop cutting-edge data visualization software that could accelerate the analysis of drilling rig performance data and provide increased value to its customers.
Solution: Toptal assembled a team to help Precision Drilling realize its vision. This team developed Clarity, a state-of-the-art data visualization platform that delivers real-time insights.
Impact: 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.
Shuja Goraya, CTO, Precision Drilling
OUR THOUGHT LEADERSHIP
Read the latest articles and resources to keep you current on emerging trends in predictive analytics, AI, data mining, statistical insights, machine learning and more.
Retailers often face supply and demand issues that cause them to miss out on potential sales or tie up a lot of money in overstocked products. In this article, Toptal Data Scientist Ahmed Khaled explains how retailers can boost revenues and cut costs with sales forecasts backed by artificial intelligence.
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