Data Science

What We Offer in Data Science Services

Analysis of Business Needs:

• Define the business goals that data science will help achieve.
• Identify drawbacks in the current data science solution (if any).
• Determine deliverables for data science.

Data Pre-processing:

• Source data determination.
• Data gathering, transformation, and cleaning.
• Machine Learning (ML) Model Development and Design:
• Select the best data science methodologies and techniques.
• Establish evaluation standards for future ML models.
• Develop, train, test, and deploy ML models.
• ML Model Evaluation and Tuning.

Presentation of Data Science Results:

• Provide data insights in the form of reports and dashboards for commercial use.
• Optionally, create a unique ML-driven self-service app.
• Integrate ML models into other applications if required.
• Data Science Support, Consultations, User, and Admin Training.
• Try Our Data Science Consultancy for Free!

Contact our data science specialists to explore how data science consultancy can benefit your company further.

Our Collaboration Models

Use of Data Science Solutions:

• Easy access to necessary knowledge or tools.
• Construct data science solutions tailored to your business objectives.

Consultancy for Data Science Improvement:

• Tactical and strategic advice.
• Overcome project issues like noisy data or inaccurate projections.
• Continuous support and consultation for data science initiatives.

Data Science as a Service (DSaaS):

• No need for internal data science capabilities.
• Access advanced data analytics insights or enhance existing data science projects.
• Technology and Methods We Utilize

Our data science services employ a range of advanced machine learning algorithms and statistical methodologies, including:

Statistics Methods:

• Descriptive statistics.
• ARMA, ARIMA, Bayesian inference, and more.

Non-Neural Network Machine Learning Methods:

• Supervised learning algorithms like support vector machines, decision trees, and regression.
• Unsupervised learning methods including hierarchical and K-means clustering.
• Reinforcement learning techniques such as Q-learning, SARSA, and temporal differences.

Deep Learning and Neural Networks:

• Recurrent and convolutional neural networks (including LSTM and GRU).
• Autoencoders, GANs, DQN, and Bayesian deep learning.

We Provide Data Science Services for:

Consultancy for Machine Learning:

Advising and developing ML-powered solutions for accurate forecasting, root-cause analysis, and more.

Big Data Services:

Assistance with storing, processing, and extracting insights from large datasets in real-time.

Image Analysis Services:

Design and development of specialized image analysis software.

Data Mining Services:

Extract valuable insights from vast and dynamic datasets without hiring in-house data mining specialists.

MDQuality Apps is ready to support your project with deep learning and machine learning expertise. Uncover new business opportunities and boost performance through advanced analytical tools. Contact us today for a free trial of our Data Science Consultancy!