Products & Platforms
- Python, Jupyter Notebooks, and MLflow for rapid experimentation
- Hadoop & AWS Athena for large-scale querying
- SAP HANA for high-speed, in-memory warehousing
- Tableau and Qlik for executive dashboards
Making sense of data. That promise sits at the center of Nyla’s data-science practice.
Whether you are triaging multi-INT feeds for a combatant command or harmonizing clickstream and CRM data for a global retailer, the core challenge is the same: find the needle, prove that it matters, and get the story in front of a decision-maker before the window closes.
Our data scientists translate loosely phrased questions into clean, labeled datasets, run rigorous statistical analysis to expose bias or missing values, and prototype machine-learning models NLP extractions, supervised predictors, and unsupervised clusters tailored to your domain. Results are moved from Jupyter notebooks to Tableau or custom dashboards, allowing operators to see the signal, not the worksheets.
Because data rarely lives in one place, we stitch together Hadoop lakes, AWS Athena queries, SAP HANA warehouses, and Python micro-services—whatever combination delivers the lowest friction for your team. Engagements flow through discovery and ingestion, quality profiling, rapid modeling sprints, and finished APIs or UIs that your people can extend long after we leave the building.
THE OUTCOME?
Hidden patterns surface, silos collapse, and the right call gets made while it still matters.
If that sounds like the clarity your mission or market needs, let’s talk.
Email sales@nyla.io or call 410-864-6274 x700 to start a conversation.
We’re comfortable challenging the status quo, speaking up when the mission demands a fresh idea, and
above all making our customers glad we’re there