Developing a comprehensive solution powered by sentiment analysis, machine learning algorithms, and trading strategies for better-informed trading decisions.

Churn prediction model for business customers that identified potential churners with higher precision than the client’s existing model, achieving a 15-20% improvement in accuracy.

When a data platform team relies heavily on Databricks SQL Warehouses, cost spikes and performance regressions are somewhat of a given. But understanding why they happen and what to fix remains one of the hardest problems. Our client, a data-driven organization with growing Databricks usage, had strong observability tools in place. However, when costs increased […]