Siarhei Yaramionak - EffectiveSoft
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“With my strong expertise and state-of-the-art skills, I could take over the most challenging project leadership and be a valuable asset to any Data Science team.”

About

Meet Siarhei, the visionary and leader of our Data Science department with an impressive 15-year career in the field, including five years at EffectiveSoft.

Holding a PhD in Electronics, Siarhei is versed in predictive analytics, big data analytics, NLP, recommender systems, and clustering. This expertise is fortified by his proficiency in an array of technologies, with particular strength in Python, SQL, ML, big data frameworks, and cloud platforms.
This remarkable skill set and commitment led Siarhei to become a Microsoft Certified Azure Data Scientist Associate.

Among his contributions to the success of our company are:

  • Developing an ML-based lead generation solution
  • Creating a price optimization model for computer games customers
  • Designing a predictive model for segmenting patient risk based on insurance claims
  • Creating and conducting a DS/ML course for company interns

Sergey is not only the leader who motivates and inspires others to work as a team, but also a dedicated team player who takes responsibility for the most difficult issues and completes it.

EffectiveSoft’s client

Articles by Siarhei Yaramionak (2)

7 months ago 13 min read

Data science in gaming: applications, benefits, and challenges
Over the past few decades, the gaming industry has witnessed disruptive transformations, developing from simple arcade video games to complex mobile gaming strategies. This progress, powered by evolving digital technologies, has resulted in a considerable surge in player numbers worldwide. As user bases are anticipated to continue expanding indefinitely, handling extensive amounts of player and gaming data is becoming increasingly challenging for organizations. Data science effectively allows companies to harness these ever-growing data flows and extract actionable insights.
  • Data analytics

10 months ago 13 min read

Using predictive analytics in retail: benefits, examples, and best practices
A data-driven approach is the prime power of the modern retail market. Information and data analytics fuel every aspect of retail, from inventory management to pricing and marketing, and serve as a basis for predicting future trends. However, retailers have yet to unlock the full potential of forecasting outcomes with predictive analytics.
  • Retail
  • Data analytics

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