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.
Data Science Consulting – Transform Data Into Insights
Leverage Toptal’s Data Science Consulting to turn your data into an asset, enabling smarter decisions and fostering sustainable growth. Our expert team blends advanced analytics, machine learning, and data-driven strategies to uncover hidden opportunities and deliver exceptional business outcomes.
Transform your data into actionable insights with Toptal’s Data Science Consulting. From strategy to implementation, leverage our expertise in AI, machine learning, and real-time analytics for data-driven decisions and sustainable growth.
Data Science Strategy Formulation
Craft a data-driven strategy to unlock new business opportunities.
Predictive Analytics Implementation
Deploy predictive models to forecast trends and inform decisions.
AI and Machine Learning Solutions
Integrate AI and machine learning to revolutionize your data analysis.
Advanced Analytics and Insights
Extract deep insights from your data with advanced analytical techniques.
Data Engineering and Architecture
Build robust data pipelines and architectures for efficient analysis.
Custom Data Model Development
Develop bespoke data models tailored to your specific business needs.
Data Visualization and Reporting
Create compelling visualizations and reports for stakeholder communication.
Big Data Integration Services
Seamlessly integrate big data into your existing systems for enhanced insights.
Data Governance and Quality
Implement data governance frameworks to ensure data integrity and quality.
Data Science Skills Training
Equip your team with data science skills through tailored training programs.
Real-time Analytics Implementation
Implement real-time analytics for instant decision-making and insights.
Ethical AI and Bias Mitigation
Develop ethical AI strategies to mitigate bias in data and algorithms.
Looking for guidance about the perfect data science solution for your needs?
Our data science experts, with experience at leading companies, develop and deploy tailored data science solutions to meet your business needs and unique industry demands for sustainable results and long-term success.
1
Discover
A leader from our team assesses your business challenges, identifies opportunities, and recommends the most suitable engagement model.
2
Define
A Toptal leader will work with you to define your goals and service needs – from full end-to-end delivery to consulting services.
3
Develop
We will create your unique project timeline, process, and first drafts; whether it's developing predictive models or extracting actionable insights from complex datasets.
4
Deploy
Toptal will get to work, tracking quality assurance, handling project management, and maintaining the delivery schedule.
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.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
CUSTOMIZED SOLUTIONS
Data Science Consulting Solutions That Deliver Value
Toptal delivers leading data science consulting solutions through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.
Managed Delivery by Toptal
On-demand Talent and Teams
Managed Delivery by Toptal
End-to-end project delivery per your specific requirements.
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.
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.
Ernesto is a business intelligence professional with more than 13 years in the field. With his expertise in data warehousing, Amazon Redshift, MS SQL Server, ETL (SSIS), Tableau Desktop, and Tableau Server, he helps companies integrate and organize data from multiple sources to be used for reporting and analysis. Ernesto’s attention to detail, strategic thinking, and expertise make him a highly qualified individual for various projects.
Davis is a seasoned engineer with more than a decade of experience in data engineering and analysis. He has led several data projects involving the transformation of on-premises databases to cloud-based data lakes using Amazon Web Services and Azure. Davis has a wealth of experience designing and developing data visualizations to present complex data models to stakeholders at all levels. He holds an MBA and has experience with data mining and machine learning.
Nidhin is a big data developer constantly looking for exciting and challenging projects. He has worked most of his career in the data domain and comes with a lot of experience working in cloud ecosystems. Nidhin has worked with various cloud migration projects ranging from Amazon Web Services (AWS) to Google Cloud Platform (GCP), GCP to AWS, AWS to Databricks on AWS, etc.
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.
Thomas has more than 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 and conversion rate optimization companies. Thomas’ goal is to improve data-driven decision-making by adopting state-of-the-art analysis methods and delivering scientific scrutiny in a timely fashion.
Adam has more than 12 years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and nontechnical specialists.
Previously at
On-demand Talent and Teams
20,000+ vetted experts, ready to deploy individually or in teams.
Asad has a PhD in physics and specializes in nuclear fusion, theoretical fusion materials, and plasma fluid dynamics. He also holds a master's degree in engineering and a postgraduate diploma in mathematics and is a Chartered Financial Analyst (CFA). Asad has been applying his knowledge to developing models in automated pricing processes and statistical analysis of financial markets.
Emilio is a computer science engineer and MBA graduate with more than 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 needs of any business and build insightful dashboards.
Filip is a machine learning engineer with many years of professional experience. He has worked on large-scale problems at Amazon Web Services as a software developer, and built natural language processing models as a research associate at the University of Zagreb. Filip’s main interests are machine learning and natural language processing, with an emphasis on building text classification models.
Hanee’ is a data expert who enjoys working on data analytics and segmentation to better target customers with campaigns. He is an experienced Java developer who has built enterprise applications that interact with millions of customers daily. Hanee’ also has experience working with big data, Spark, and Python.
Kevin is a senior data engineer and professional services consultant providing software solutions for large and complex data storage, integration, analysis, and reporting. He has more than 34 years of experience developing, delivering, and maintaining data-centric software solutions, and eight years of experience in analytical chemistry for the environmental and biotech industries. Kevin has a special interest in developing innovative solutions for sustainable agriculture and land reclamation.
Hans is a senior full-stack developer with a master’s degree in computer information systems and more than 20 years of experience delivering software solutions. He is proficient in various stacks, languages, and databases, focusing on full-stack development using the JavaScript stack (React/Node.js), TypeScript, Python, and the Google Cloud Platform, including Firebase. Hans was a technical lead at startups and Fortune 500 companies like Deutsche Bank, and is a resourceful contributor to any team.
Daniel is a data scientist and engineer with a strong background in data lifecycle. He excels at crafting efficient data pipelines, designing databases, conducting advanced analyses, and harnessing machine learning.
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.
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, 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.
Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.
WHY ORGANIZATIONS CHOOSE US
Toptal in Action
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Toptal data visualization experts build state-of-the-art application for oil and gas leader.
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.
It wasn’t a customer-vendor relationship; it was more of an integrated relationship.
Shuja Goraya, CTO, Precision Drilling
OUR THOUGHT LEADERSHIP
Explore Insights From the Data Science Consulting Field
Read the latest articles and resources to keep you up to date on emerging trends in data science.
Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze “graph theory” datasets.
Federico is a developer and data scientist who has worked at Facebook, where he made machine learning model predictions. He is a Python expert and a university lecturer. His PhD research pertains to graph machine learning.