OUR CORE AREAS OF EXPERTISE

High value-add consulting

We help our clients to identify key areas of impact, and then leverage technology to capture the maximum value

End-to-end project management

We build teams able to execute the most complex projects from the concept stage to production

Sourcing top-tier talent

We cherry-pick best-in-class ML engineers, data scientists and researchers, and staff those directly to our clients


SCENARIOS

Our teams are capable of applying ML and data science toolkits to tackle the most complex challenges in a broad range of areas, including marketing, operations, finance and R&D, to achieve:

 
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Enhancing data collection processes and implementing pipelines to enable in-depth data mining and analysis

 

Data processing, cleansing, and verifying the integrity of data using state-of-the-art methods

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Building & optimizing large-scale machine learning models, incl. supervised, unsupervised and reinforcement learning

 

Leveraging various ML and data science tools to produce reporting and recommendation systems of any complexity

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Technology

Evolution One is fundamentally technology-agnostic: we believe that the business needs should never be limited by tech stack choices.

The talent we partner with has experience working with all major tools and technologies:

Languages: Python, C++, C#, Java, etc.

ML frameworks: TensorFlow, PyTorch, Keras, Caffe, etc.

Query languages: SQL, Hive, Pig, etc.

Data visualization tools and platforms: Power BI, Tableau, D3.js, GGplot, etc.

Data science toolkits: R, Weka, NumPy, MatLab, Stata, etc.

SQL/NoSQL databases: MySQL, PostgreSQL, MongoDB, Cassandra, etc.

 
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People

Truly exceptional talent is shaped by a specific set of experiences obtained through exposure to the right blend of fundamental education and cutting-edge industry experience.

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Evolution One leverages proprietary sourcing techniques to identify the best candidates that fit the following set criteria:

Education: Technion – Israel Institute of Technology, Lomonosov Moscow State University, ETH Zurich, Ecole Polytechnique University

Experience: Yandex, Deutsche Bank, Samsung, Huawei, Raiffeisen Bank, Gett, and others

Participation in major ML/NLP conferences such as NeurIPS, ICLR, ICML, ACL, NAACL