Slava Shkolyar

Machine learning
Vetted by
Machine learning expert with a strong background in data analysis, model development, and feature engineering. Experienced in training and evaluating machine learning models, as well as deploying them into production systems. Skilled in data preprocessing and performance optimization to ensure accurate and efficient models. Proficient in collaborating with cross-functional teams and effectively communicating insights and solutions. Actively engaged in research and innovation, staying up-to-date with the latest advancements in machine learning techniques.



Vetting results

Machine learning





Development: Python, Pytest, Flask, Django, C#, NUnit, .NET, WCF, Java, Linux, CoreOS, Vagrant, Docker, AWS, Azure, GCP.Data Science / AI /

ML: SciPy, Jupyter, pandas, NumPy, Matplotlib, Seaborn, Tableau, Power BI, scikit-learn, TensorFlow, MLflow.

Data engineering: Snowflake, BigQuery, Vertica, Elasticsearch, Hadoop stack (including Hive, Pig, MapReduce), MS SQL.

Work Experience

Principal Data Scientist, EX.CO, 2023 - till now

- Leading and managing a team of data scientists

- Developing and implementing data science strategies, roadmaps, and initiatives aligned with the organization's goals and objectives.

- Collaborating with cross-functional teams

- Conducting thorough data analysis, interpreting results

AI/ML Product & Technology Lead, Expertpower, 2021 - 2021

Delivered the Artificial Intelligence (AI) capabilities of our Smart Grid solutions - the Meter Data Management and the Procurement Management - from a product, project and technical standpoint.

Entrepreneur In Residence, Antler, 2020 - 2020

Created a startup team and delivered an investable business model with an MVP.

Head of AI/ML Product & Technology, UpTeam, 2017 - 2020

Expanded the company's outsourcing business to a new field of artificial intelligence and machine learning.

Head of Data Science, PropellerAds, 2015 - 2017

Improved the product and operational capabilities of the business using big data analytics, artificial intelligence and machine learning.

Data Scientist, AT&T, 2014 - 2015

- Data analysis and interpretation

- Data visualization and reporting, creating visually appealing and easily understandable reports through charts, graphs, and interactive dashboards

- Building and maintaining data infrastructure, designing robust data pipelines and databases



Slava Shkolyar

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