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YKatser/README.md

Hi there, I'm Iurii Katser

I’m currently the Head of Advanced Analytics at Raiffeisenbank Russia, leading cross-functional teams of data analysts, data scientists, and LLM/AI engineers. My current professional focus is on applying ML, LLMs, and advanced analytics at the bank-wide level to solve complex business problems, scale AI solutions, and drive measurable impact.

  • 🏦 In my current role, I lead and scale advanced analytics teams, working on end-to-end ML, LLM, and analytics solutions for banking domain, from strategy and architecture to production and impact measurement.
  • 🔩 With 8+ years of experience in industrial sectors (energy, metallurgy, mining, oil & gas), I am a recognized expert in predictive maintenance, anomaly detection, technical diagnostics, process control, and optimization, with solutions deployed at Tier-1 industrial companies.
  • 🔭 I have a strong research background and previously led R&D teams in industrial AI. I am a PhD alumnus with a thesis on Neural Network-Based Algorithms for Anomaly Detection in Industrial Data Processing.
  • 🚀 I was a co-founder of waico for 5 years — a startup focused on improving industrial processes using machine learning, from research to real-world deployments.
  • 🌱 Currently, I’m deepening my expertise in LLM systems, applied AI at scale, analytics platforms, and process optimization, bridging advanced research with robust enterprise solutions.
  • ⚡ My mission is to combine engineering rigor, ML/AI expertise, and leadership to build scalable analytics and AI products that deliver tangible business value in various industries and domains.

Connect with me

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  1. Industrial-ML Industrial-ML Public

    An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications

    116 16

  2. CPDE CPDE Public

    Results of the "Ensembles of offline changepoint detection methods" research to reproduce

    Jupyter Notebook 45 13

  3. waico/SKAB waico/SKAB Public

    SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

    Jupyter Notebook 379 57

  4. waico/tsad waico/tsad Public

    Package for Time Series Forecasting and Anomaly Detection Problems.

    Jupyter Notebook 57 10

  5. DS-team-roadmap DS-team-roadmap Public

    Roadmap for making and managing efficient industrial DS team

    7 3

  6. ControlCharts ControlCharts Public

    Python implementation of the control charts used for process monitoring and anomaly detection

    Python 12 3