Power your business with Veracell's data engineering and data science expertise
Businesses across various domains are increasingly relying on the power of data engineering and data science to gain a competitive edge. Veracell offers a comprehensive suite of data engineering and data science services, leveraging the capabilities of Microsoft Azure, AWS, and other cutting-edge technologies to help you make informed decisions and unlock new opportunities.
Harness the potential of Azure, AWS, and cutting-edge technologies for data-driven success
In today's data-driven world, businesses are seeking AI solutions that are not only easy to implement but also more effective than competing offerings. Veracell stands out with its extensive understanding and experience in the data science and modeling field, providing streamlined AI solutions through Python, state-of-the-art machine learning packages, and optimization methods.
Veracell's AI solutions are built upon a foundation of primarily Python-based software development, featuring several optimization methods including Bayesian optimization, gradient-free optimization, random and grid search. Our basic data science stack includes SKLearn and state-of-the-art machine learning packages, such as CatBoost, XGBoost, LGBM, Keras/Tensorflow, and Pytorch.
Veracell's team has extensive experience in developing data platforms using Microsoft Azure services, building integrations with different systems using Python, R, and Scala. By harnessing Azure's Databricks, Azure Data Factory, Azure Functions, and Azure Logic App services, we create robust and efficient data pipelines, orchestrate ETL processes, and perform data transformations.
Our data storage solutions utilize Azure Data Lake and a variety of databases, including MS SQL, PostgreSQL, Elasticsearch, and Cosmos DB, to cater to diverse data storage needs. We also offer API implementations using Node and GraphQL, powered by Azure App Service boilerplate for seamless API delivery.
Veracell has developed S3-based data lakes and document stores for multi-tenant SaaS applications, leveraging AWS Redshift for data warehousing and business intelligence needs. Our team also utilizes AWS SageMaker and QuickSight to explore datasets, build predictive models, and create interactive dashboards with alerts for better decision-making.
Algorithm Development and IoT Integration
Our expertise extends to algorithm development, data processing with Python, firmware development for RF-based devices using Embedded C, and IoT gateway and cloud data integration.
Tailored Solutions and Domain Expertise
Veracell's team has developed tailored Random Forests and Gradient Boosting tree regressors for demand forecasting at Amazon.com, and worked extensively on tree-based regressors in C++ for high-performance and parallelism. Our domain expertise covers bioinformatics, IoT development, data modeling, and identifying phenomena using machine learning from continuous sensor data.
At Veracell, we pride ourselves on our quality awareness in software development, especially on the data engineering side. We strive to automate infrastructure and process management, building repeatable and fault-tolerant processes. Our "can-do" mentality enables us to challenge ourselves and adapt to new technologies, ensuring that we stay ahead of the curve in delivering innovative solutions.
Our comprehensive data engineering and data science offerings, powered by Azure, AWS, and cutting-edge technologies, are designed to help your business harness the power of data and drive success. With our extensive domain expertise, quality-driven approach, and commitment to innovation, we are well-equipped to help you navigate the complex world of data and unlock new opportunities for growth.
Do you want to find out how to harness data to grow your business? If so, we would love to have a chat.
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