Data science services include data science consulting, development and support to enable companies to run experiments on their data in search of business insights. Since a long, TULIP has been applying data science in its different forms ranging from statistics to machine learning (including its most recent technique – deep learning) to meet the most deliberate analytics needs of our clients.
Optimizing process performance due to detecting deviations and undesirable patterns and their root-cause analysis, performance prediction and forecasting.
Optimizing supply chain management with reliable demand predictions, inventory optimization recommendations, supplier and risk assessment.
Proactively identifying the production process deviations affecting product quality and production process disruptions.
Monitoring machinery, identifying and reporting on patterns leading to pre-failure and failure states.
Identifying customer behavior patterns and performing customer segmentation to build recommendation engines, design personalized services, etc.
Identifying potential churners by building predictions based on customers’ behavior.
Advanced lead and opportunity scoring, next-step sales recommendations, alerting on negative customer sentiments, etc.
Forecasting project earnings, evaluating financial risks, assessing a prospect’s creditworthiness.
Minimizing human error with automated visual inspection, facial or emotion recognition, grading, and counting.
Do you consider building a data science solution in your company, but lack needed experience and resources? ScienceSoft is ready to implement its best practices to ensure a smoothly functioning data science solution that suits your business needs.
If you’ve encountered a problem (e.g., noisy or dirty data, inaccurate predictions, etc.) in your data science project, we can serve as your think tank to help you figure out how to make your data science solution work as expected and bring the desired ROI.
If you seek continuous support and evolution of your data science initiative, our team will closely cooperate with your subject matter experts and implementation team to provide ongoing recommendations and ensure the models’ continuous improvement. This will increase the quality of insights and help adjust the models to the changing environment.
Getting advanced data analytics insights derived with data science technologies or enhancing the existing data science initiatives without investing in in-house data science competencies.
To get to the valuable insights that your data hides, we apply both proven statistical methods and elaborate machine learning algorithms, including such intricate techniques as deep neural networks with 10+ hidden layers.
We develop integrated solutions and provided IT consulting services for leading enterprises and startups around the globe.