Summary
Overview
Work History
Education
Skills
Languages
Core Competencies
Tennis
Timeline
Generic

Yevgenii Soroka

Split

Summary

Highly skilled lead data scientist and AI architect with a proven track record in building and leading high-performing teams, delivering cutting-edge machine learning solutions, and driving strategic business value. Adept at leveraging advanced analytics and data-driven insights to optimize decision-making processes and enhance operational efficiency. Demonstrated expertise in developing innovative algorithms and models to solve complex business problems, resulting in significant cost savings and revenue growth. Committed to staying at the forefront of technological advancements in data science and AI, continuously seeking opportunities to apply emerging techniques and tools to drive organizational success.

Overview

8
8
years of professional experience

Work History

Lead Data Scientist, Resource Manager

Gucci Ltd.
04.2024 - Current
  • Led a team of ML engineers to develop and deploy ensemble-based machine learning models for extracting actionable insights from big data
  • Implemented end-to-end process of Retrieval-Augmented Generation (RAG) LLM systems, enhancing organizational knowledge management.
  • Defined strategic project objectives, optimized resource allocation, and ensured seamless collaboration with cross-functional stakeholders
  • Led and mentored a team of ML engineers, providing technical training and knowledge-sharing sessions to upskill colleagues in advanced AI/ML topics
  • Tech Stack: Python, PySpark, Pandas, AirFlow, MLflow, Scikit-learn, PyTorch, Databricks, LlamaIndex, LangChain, HuggingFace

Team Lead, AI Researcher

Lindenvalley Ltd.
06.2020 - 03.2024
  • Spearheaded ML projects in semantic segmentation, image generation, style transfer, and tiny object detection, resulting in the delivery of cutting-edge AI solutions
  • Developed multiple end-to-end ML pipelines across diverse domains to ensure efficiency, scalability, and robust deployment
  • Mentored a team of engineers and collaborated with product managers to align ML capabilities with business objectives
  • Optimized model accuracy by fine-tuning deep learning algorithms and implementing industry best practices
  • Enhanced segmentation model accuracy by30% and reduced processing time by40%
  • Designed scalable ML pipelines that reduced deployment cycles by50%
  • Tech Stack: Python, OpenCV, PIL, PyTorch, AWS, Albumentations, Git, Jira, SageMaker

Machine Learning Engineer

Deloitte Ukraine
01.2019 - 06.2021
  • Project1: M&A Recommendation Systems
  • Designed ML models to assist financial analysts in identifying acquisition targets based on key indicators
  • Implemented NLP solutions to analyze unstructured financial data
  • Key Achievement: Delivered a model with85% accuracy in predicting M&A success
  • Project2: Tax Services AI Solutions
  • Developed NLP-based solutions for tax report summarization, improving processing efficiency
  • Built and deployed machine learning models to assist in tax compliance analysis
  • Tech Stack: Python, Scikit-learn, TensorFlow, PyTorch, Azure ML, Azure DevOps

Machine Learning Engineer

Algante Technologies
09.2018 - 12.2018
  • Developed an algorithmic trading system, leveraging quantitative analysis and predictive modeling
  • Built an automated order execution module, improving trade precision by25%
  • Tech Stack: Python, TensorFlow, Scikit-learn, AWS, Git

Machine Learning Engineer

Mediterra
09.2017 - 08.2018
  • Developed NLP-based resume parsing solutions, improving match accuracy by35%
  • Designed and trained convolution neural networks for semantic image analysis
  • Tech Stack: Python, TensorFlow, OpenCV, GloVe, SpaCy, AWS

Machine Learning Engineer

AntiSnipers
12.2016 - 09.2017
  • .Developed and optimized a CNN model for real-time shooter training applications on mobile platforms
  • Reduced inference time i hundred times and enhanced application responsiveness.
  • Tech Stack: Python, PostgreSQL, OpenCV, TensorFlow

Education

Master of Science - Metal-Cutting Machines and Technical Engineering Systems

Zhytomyr State Technological University
Zhytomyr
01.2012

Infinte Student -

Learn New Technology in Regular Manner
Remote

Skills

  • Data Analysis Skills Professional
  • Team Leadership Professional
  • Strong Communication Professional
  • Experimental design
  • Feature engineering

  • Natural language processing
  • Time series analysis
  • Large dataset manipulation
  • Neural networks
  • Predictive analytics

Languages

English (Upper Intermediate), Ukrainian, Russian

Core Competencies

  • Leadership & Team Mentorship
  • Data-Driven Decision Making
  • End-to-End Model Development
  • AI Strategy & Solution Architecture
  • Agile Project Management
  • Stakeholder Collaboration

Tennis

There’s something magical about the sound of tennis. The pop of the ball hitting the strings, the squeak of shoes on the court, the rhythmic bounce before a serve—it’s like music to me. I fell in love with the rhythm of the game. Every match feels like a dance, a back-and-forth conversation between players. Even when I’m alone on the court, hitting balls against the wall, I feel alive. Tennis isn’t just a sport to me; it’s a language, and every swing is a word in a story I never want to end.

Timeline

Lead Data Scientist, Resource Manager

Gucci Ltd.
04.2024 - Current

Team Lead, AI Researcher

Lindenvalley Ltd.
06.2020 - 03.2024

Machine Learning Engineer

Deloitte Ukraine
01.2019 - 06.2021

Machine Learning Engineer

Algante Technologies
09.2018 - 12.2018

Machine Learning Engineer

Mediterra
09.2017 - 08.2018

Machine Learning Engineer

AntiSnipers
12.2016 - 09.2017

Infinte Student -

Learn New Technology in Regular Manner

Master of Science - Metal-Cutting Machines and Technical Engineering Systems

Zhytomyr State Technological University
Yevgenii Soroka