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Data Analytics Practice LeadAs the leader of Toptal's Data Analytics practice, Chas drives the development and delivery of data engineering solutions, leveraging teams of top talent to execute high-complexity projects. Before Toptal, Chas was integral to establishing and leading a dedicated data science team for the largest practice, private equity, at Bain's Data Science group. He has also been instrumental in advancing the application and integration of data science and AI strategies in numerous Fortune 100 companies.Chas leads Toptal's Global Data Analytics Practice, delivering AI solutions for complex challenges by leveraging top-tier talent.
Previously At
7+ Years
of Experience
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.
Previously at
18+ Years
of Experience
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.
Previously at
12+ Years
of Experience
Filip is a machine learning engineer with many years of professional experience. He’s 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.
Previously at
13+ Years
of Experience
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.
Previously at
34+ Years
of Experience
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.
Previously at
20+ Years
of Experience
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.
Previously at
5+ Years
of Experience
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.
Previously at
20+ 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
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, 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
Practice Lead
Chas leads Toptal’s Data Analytics practice, 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, private equity firms, and SMBs to maximize their data. Before Toptal, Chas was integral to Bain & Company’s Data Science group, developing data and AI strategies for numerous Fortune 100 companies.
Previously at
Technology Experience
10+ years
Delivery Manager
Lauren serves as the Senior Director of Managed Delivery at Toptal with a focus on driving high-impact innovation and implementing cutting-edge technologies across diverse client portfolios, from global startups to Fortune 500 companies. Her expertise in product strategy, program development, and performance optimization contributes to her success in crafting forward-thinking solutions that redefine success in the ever-evolving tech landscape.
Previously Managed Client
Technology Experience
10+ Years
13+ Years
of Experience
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.
Previously at
10+ Years
of Experience
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.
Previously at
10+ years
of Experience
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.
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
17+ Years
of Experience
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.
Previously at
12+ Years
of Experience
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 non-technical specialists.
Previously at
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WHY ORGANIZATIONS CHOOSE US
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Drilling into real-time data creates an industry game changer.
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 of industry experts to help Precision 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
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.
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