Data & AI
Harnessing the power of data and AI to generate actionable insights, drive automation, and deliver intelligence-driven solutions.
Our areas of expertise
Data Warehouse/Platforms
- Snowflake, Databricks, Redshift, BigQuery, Fabric, Synapse, Palantir
Data Engineering
- Spark, Kafka, Airflow, dbt, Palantir Foundry, Flink, ADFProcess Optimization (Lean Six Sigma)
Gen AI
- Bedrock, Vertex, OpenAI, Claude, GPT, Llama
Visualization & BI
- Power BI, Tableau, Looker, Sigma, QuickSight
Data Science/ML
- TensorFlow, PyTorch, SageMaker, Azure ML, Gurobi, CPLEX
Data Governance & Catalog
- Collibra, Alation, Profisee, Informatica

Top jobs
- Data Analyst
- Data Engineer
- Machine Learning Engineer
- Data Scientist
- BI Analyst
- AI Engineer
- SQL Developer
- ETL Developer
- Analytics Engineer
Client testimonials
"Very supportive, trustworthy, and competent recruitment professionals. They have an in-depth understanding of various skillsets relevant to the analytics domain; they are very accessible and resourceful. I have always found them punctual and a go-to team for all queries. I would highly recommend this team."
"First class recruiters who definitely go the ‘extra mile’ for their candidates and clients. I have had the pleasure of working with them on two positions...one of which I landed! I think what differentiates them from other recruiters is their deep client relationships and their dedication to a wholly positive candidate experience. Their positive attitude is infectious!"
Impact
Work with numerous Fortune 500 clients to build out data science and machine learning teams for major cost savings initiatives. These teams are focused on Optimization, Computer Vision, NLP, and R&D efforts.
Stood up a data engineering practice for a leader in the entertainment industry. This was a revenue-generating team dedicated to supporting an AdSales department.
Built a team of analysts and marketing specialists devoted to expanding our clients’ digital engagement process from the ground up. This initiative helped optimize and improve the existing platform, thus increasing revenue and customer outreach.
Data & AI case studies






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