Data science consulting services
Solve is the new science and Big Data holds the answers
Data science services we offer
Data collection
Data analysis and cleaning
Data preparation
Exploratory data analysis
Minimum viable model
Data science consulting
Methods and technologies we use
Non-NN machine learning
- Implementing supervised learning algorithms for effective classification and regression tasks, such as predicting customer churn, estimating property values, or forecasting product prices.
- Using unsupervised learning algorithms for clustering applications such as segmenting customers based on purchase history or detecting fraudulent financial transactions.
- Applying reinforcement learning to optimize decision-making influenced by interaction with the environment, such as recommendation systems or personalization engines.
Statistical
- Leveraging descriptive statistics, we summarize customer data, present outliers in stock prices, and identify patterns in user behavior.
- Employing ARIMA and ARIMAX, we forecast sales, prices, demand, and more.
- Using Bayesian inference, we predict possible outcomes such as equipment failure or disease diagnosis.
Neural networks, including deep learning
- Employing convolutional and recurrent neural networks (including LSTM and GRU) for NLP tasks.
- Using autoencoders for tasks like analyzing medical images.
- Using generative adversarial networks (GANs) to generate images and using ML algorithms.
- Applying reinforcement learning (DQN) for optimizing energy consumption and recommending the best settings for manufacturing equipment.
- Using Bayesian deep learning to enhance speech recognition and translation accuracy.
Tech Stack
TensorFlow
PyTorch
Keras
Caffe
MXNET
Theano
Chainer
DeeplearningKit
Torch
Microsoft Cognitive Toolkit
Programming languages, APIs and frameworks that we use
R Programming
Scala Development
Python
