Hire the Top 3% of Analytics Developers in 48 Hours

Leonardo is a machine learning engineer with 10 years of industry experience across the government, energy markets, finance, healthcare, and consulting. Leonardo is well versed in work with analytics, data engineering, and machine learning, specializing in the development and deployment of AI systems for computer vision, NLP, and recommender systems.

Jared has 10 years of experience in data science and machine learning, both as an IC and manager. He has served a wide range of clients, from startups to Fortune 500 companies across the defense, energy, healthcare, tech, and retail industries. Past projects include Gen AI content generation, Gen AI medical agent, outreach optimization through uplift modeling, development of a fully autonomous drone, and climate resiliency planning using machine learning.

Olgierd specializes in data engineering, data science, and AI, mostly in Google Cloud. Well-versed in business and financial concepts, he can build data processing and analytics solutions that fit well with the overall business strategy. Faced with complexity, uncertainty, risk, volatility, and ambiguity, he turns to Agile. Recently, Olgierd developed data pipelines for data warehouses and analytics in Google Cloud.

Jhony is a data analytics expert with 8+ years of experience leading and implementing end-to-end analytics projects, from data project planning and definition to data extraction, ingestion, cleaning, transformation, and data visualization on cloud platforms.

Tang is a data scientist and educator with expertise in using Python to deliver high-quality insights and analysis to clients. He consulted on projects involving job market analytics, event footfall analysis, HR and talent analytics, and at-risk student modeling. Tang specializes in natural language processing, statistical modeling, and predictive modeling.

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.

Jason is an experienced data and analytics architect specializing in projects involving the Microsoft BI Stack, Azure infrastructure, and a variety of data visualization tools. He has successfully implemented solutions in industries ranging from marketing and genetics to insurance and logistics. His curiosity and insight into business result in an intimate understanding of client needs and his technical expertise translates those needs into best-in-class products.

Zurab has a master's in applied mathematics and another in management science, with solid knowledge in statistics, analytics, database design, and SQL data warehouse development. In his 20 years of experience, Zurab has implemented modeling and automation projects, including sales price optimization, customer segmentation, product categorization, inventory management and central warehouse ordering system, and post-sales customer behavior models for return and cancelation forecasts.

Jakub started taming data nearly 20 years ago, building Access databases in the oil and gas sector. Since then, he's built data solutions for various Australian financial and government clients, co-founded a fintech startup, and freelanced for US and EU multinationals. An expert in BI, analytics, and data warehouse architecture and development, Jakub is much more than a technical resource; he has a sound understanding of the role of insightful data and its commercial application.

With over 15 years of experience, Lincoln specializes in developing and implementing business intelligence (BI) and data warehouse solutions, SAP ERP systems, software, and web design and development. His expertise spans a wide range of technologies, including SQL, T-SQL, MS SQL Server, Oracle, data warehousing, ETL processes, MS SSIS, SSRS/SSAS, Power BI, Microsoft Azure SQL Database, Synapse Analytics, Databricks, Google BigQuery, Amazon RDS and Redshift, as well as Python programming.

Gleidson is a highly experienced engineer with solid infrastructure automation architecture, design, development, and orchestration skills. Over the past 20 years, he has been responsible for automating large and complex environments, configuring hardware/network elements, continuously deploying code, and securing/hardening companies. Gleidson also has proven team leadership skills, including supervising, training, and mentoring teams.