DATAFOREST

DATAFOREST was hired by Ranktracker, a SaaS company that tracks website rankings on Google, to optimize their PostgreSQL configuration and enhance the reliability of their master/slave setup. Despite various challenges such as idle connections, high CPU wait times, excessive locks, long transaction durations, IOPS bottleneck, and delay in replica syncing due to database overload, DATAFOREST successfully fine-tuned the PostgreSQL configuration file and improved the master/slave setup. The Ranktracker CEO found DATAFOREST through an online search and chose them for their high ratings, budget-friendly pricing, company culture, and value for cost.

In another project, DATAFOREST partnered with Qvist Sweden AB, an e-commerce company, to enhance their data engineering capabilities. DATAFOREST developed a web application that integrates with various sales channels to collect and analyze real-time customer interaction data. The platform uses machine learning algorithms to identify customer behavior patterns and predict potential support issues. It also provides support teams with a centralized dashboard for optimizing customer interactions across all channels. The project is still ongoing, but the main deliverables include the web application, machine learning algorithms, and ETL and integration pipelines.

DATAFOREST was also contracted by an IT outsourcing company to develop a web automation project. Using the Selenium/Playwright frameworks, DATAFOREST successfully automated the company's web processes. The company found DATAFOREST on Upwork and selected them for their high ratings and budget-friendly pricing.