Data Science Solutions
Got data? Let’s make it work for you. Our data science experts transform the raw data through advanced AI techniques like machine learning, predictive analytics, computer vision and natural language processing. Whether you’re looking to predict trends, optimize processes, or better understand numbers, our data science service covers your back. Find out how we can help your business grow
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Get More From Your Data
We believe that data is more than just numbers. It's a roadmap to success. Whether in healthcare, finance, retail, or any other sector, we have the tools and experience to help you leverage your data for maximum impact. Watch the video, explore our range of services, and see how we can empower your business to thrive in the digital age.
Data science professional services include
We bring you value by extracting insights from historical data. Our forecasting models can help you with improving Sales, Inventory and Process management. What is more, empower your Marketing and User Experience by applying product recommendation engines and buyer behavior prediction.
Our machine learning algorithms analyze vast amounts of data and learn patterns within that data. This allows businesses to predict future outcomes based on historical data, which can be invaluable to traditional mathematics methods.
Our developers provide NLP tools for your business to help you gain more from the data with Text extraction, Sentiment Analysis, Text Classification. In other words, we can parse PDFs, extract key topics, understand clients’ intent and make a structure from your unstructured text.
Visual charts, tables and dashboards allow you to understand the information collected from various data resources at a glance. Catch your insights with DATAFOREST.
Need Data Science to achieve business goals?
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Emotion Tracker
For a banking institute, we implemented an advanced AI-driven system using machine learning and facial recognition to track customer emotions during interactions with bank managers. Cameras analyze real-time emotions (positive, negative, neutral) and conversation flow, providing insights into customer satisfaction and employee performance. This enables the Client to optimize operations, reduce inefficiencies, and cut costs while improving service quality.
They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Entity Recognition
The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
Technically proficient and solution-oriented.
Employee Tracker
The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.
DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.
AWS Cost Reduction
This project optimized the cloud infrastructure of a U.S. IT services company to reduce costs and improve performance. Our investigation identified several areas for optimization, including unused computing resources, inconsistent storage, and a lack of savings plans. We helped to optimize resources, implemented better policies for storage, and improved internal traffic flow through architecture redesigns and dockerization.
The team's deep understanding of our needs allowed us to achieve a more secure, robust, and faster infrastructure that can handle growth without incurring exorbitant costs.
Insurance Profitability Analysis Tool
This project involved developing a tailor-made data analysis tool for a U.S. insurance provider who were facing challenges analyzing a significant volume of data. The Client needed a professional and customized solution which would enable effective analysis of their data and provide actionable insights to improve their business operations. Our solution delivers real-time processing of data, flexible filtering capabilities through dashboards, and also supports dashboards detailing the evaluation of insurance loss or profit by industry vertical. Additionally, a predictive model for profitable insurance cases was built using historical data, and a reporting system was created to show significant factors and profitability based on different metrics.
Great work! The team provided an excellent solution for consolidating our data from multiple sources and creating valuable insights for our business.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
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The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Store heatmap
The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.
DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.
Demand forecasting
We built a sales forecasting system and optimized the volume of goods in the warehouse and the range of goods in different locations, considering each outlet's specifics. We set up a system that has processed more than 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
All Success Stories
Gain insights from data:
our data science team helps to extract valuable insights and patterns from large volumes of data, enabling businesses to make informed decisions and gain a competitive edge.
Ensure Scalability:
with the exponential growth of data, businesses need help to handle large volumes of information efficiently. We provide scalable data science solutions that can address big data processing, storage, and analysis, allowing businesses to leverage the full potential of their data.
Maintain complex
data structures:
data structures:
some businesses deal with complex data structures. We apply techniques like natural language processing, computer vision, and deep learning to extract insights from these data types, enabling businesses to unlock valuable information.
Automate data
science in business:
science in business:
we help automate manual tasks and optimize workflows, allowing companies to streamline their operations and improve efficiency.
Streamline real-time decision-making:
making real-time decisions is crucial in today's fast-paced business environment. We develop custom real-time analytics solutions that process data in real-time, enabling businesses to make quick and informed decisions based on up-to-date information.
Enhance customer experience:
our data science experts help companies understand their customers better by analyzing their preferences, behavior, needs, and purchases.
What methods does DATAFOREST use?
The methods of mathematical and statistical analysis, as well as knowledge of probability theory, can be conditionally divided as follows:
Statistics methods
Non-NN machine learning
Neural networks, including deep learning
What Data Science technologies do we use?
The tool for implementing the methods in the data science service is the program code, which can be divided into levels of integration as follows:
Pandas
SciPy
TensorFlow
Numpy
ADTK
DBscan
G. AutoML
Keras
MLFlow
Natural L. AI
NLTK
OpenCV
Pillow
PyOD
PyTorch
FB Prophet
SageMaker
Scikit-learn
SpaCy
XGBoost
YOLO
We will teach Data Science algorithms to solve your problems
Fill out the form and we'll be in touch.
Reasons why DATAFOREST is worth being your data science company
DATAFOREST solves applied tasks through the data science service. We use new and time-tested methods of working with Big Data at the intersection of mathematics, computer science, and business needs. We have three reasons to offer ourselves as your assistant.
01
Experienced and qualified team:
we can save tens of thousands of dollars per month, process tens of terabytes of data, increase customer experience by 15%, and much more
02
Solution flexibility based on a high level of communication:
mutual trust leads to decision optimization — reduction of manual labor by 100+ hours, increased production and sales productivity, and close to 100% forecasting accuracy
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Still have questions about data science services?
What is data science, and why is it needed?
It is the science of big data analysis methods. The data science service aims to extract useful information for the enterprise business and the service sector. Since there are many data on the Internet, and it becomes more and more every day, this is called Big Data. The science doesn't imply the expected result after setting the algorithm to the machine, but the installation of fundamental principles, and the machine learns itself. It is machine learning, and DATAFOREST uses it. To improve the performance of machine learning models by providing additional training examples, generative AI can be used.
How does the data science services company solve problems?
The applied data science process is based on the methods of mathematical and statistical analysis, as well as knowledge of probability theory. Applied data science consulting services have two tasks: understanding what is happening with the data now and what it promises in the future. Theoretical approaches are implemented by DATAFOREST in practice using programming tools (languages, frameworks, and libraries) and services for extracting, processing, storing, and visualizing data.
How does a data science company service grow a business?
Whoever owns the information owns the world. Proper analysis and visualization of Big Data give an increase in margins and an advantage over competitors who have yet to turn to experts with data science specialization. Transaction analysis, loyalty program, customer behavior forecasting — this is what DATAFOREST engineers work with, taking into account the benefits of data science for business.
How much does a data science service cost?
No one will give an exact answer because the cost depends on the project's complexity. But by general principles, structures with a limited budget - startups and government agencies - often use data science engineering. In addition, data science tools involve saving resources, and the number of data scientists is constantly increasing along with the competition. So, the DATAFOREST answer to the question is no more than money.
Data science vs. data analytics: what is the key difference?
While data science and analytics share some similarities, such as data analysis techniques, the main distinction lies in data science's broader scope and objectives. Data analytics is focused on understanding historical data, while the application of data science encompasses a broader range of activities, including predictive modeling, machine learning, and automation.
Data science and data engineering: how are they different?
Data engineering and data science are complementary roles that work closely together to enable data-driven decision-making. Data engineers focus on efficiently managing data infrastructure and ensuring data availability and reliability, while data scientists focus on extracting insights and building models to derive value from the data.
What qualifications and expertise do your data science consultants possess?
They have proficiency in programming languages commonly used in components of data science, such as Python and R, and familiarity with other tools, such as SQL, Java, Scala, or MATLAB. The team also firmly understands statistical concepts, hypothesis testing, probability theory, and experimental design. They are good at exploratory data analysis techniques to gain insights from data. The teammates are knowledgeable about supervised and unsupervised machine learning methods and techniques such as regression, classification, clustering, dimensionality reduction, and recommendation systems.
How long does it typically take to see tangible results from your data science services?
Data science is an iterative and evolving field; tangible results can often be observed throughout the project's lifecycle. Initial insight from data science, preliminary model, and incremental improvement provide value along the way, even before the final solution is fully developed. The timeline for tangible results in data science professional services highly depends on each project's unique circumstances and complexities.
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