Summary
Overview
Work History
Education
Skills
Timeline
Generic

Evgeny Olshansky

Miskolc

Summary

10+ turnkey projects that meet the requirements of customer business metrics.

Have a specialized education and a dissertation in the field of artificial intelligence

Crypto enthusiast and support several projects as an Ambassador

Overview

8
8
years of professional experience

Work History

Lead AI R&D Section

Skolkovo Insitute of Science and Technology
02.2021 - 07.2024
  • Development of a text detection and recognition system at the level of raw Bayer matrix signals: Creation of a fully finished product from scratch under your supervision and expertise Tools: Signal processing (DSP), deep neural networks (CNN, RNN)
  • Adaptation of state-of-the-art solutions in the field of computer vision to specific data: Configuration and optimization of models for specific customer tasks Tools: Transfer Learning, Few-shot Learning, YOLO-type models, Mask R-CNN
  • Training and adaptation of large language models to customer needs: Fine-tuning of GPT-type models, BERT for specific domains Tools: Hugging Face Transformers, OpenAI API
  • Development of predictive maintenance systems for industrial equipment: Analysis of sensor data to predict breakdowns Tools: Time Series Analysis, Anomaly Detection algorithms

Senior Machine Learning Researcher

Moscow State University, Math Methods in Ecs. Dep.
05.2019 - 10.2021
  • Risk Analysis in Business Processes. Tool: Bayesian Networks, Risk Assessment Models
  • Customer experience and satisfaction analysis in business processes. Tool: Sentiment Analysis of Text (BERT), Clustering
  • Optimization of business processes. Tool: Reinforcement Learning, genetic algorithms

Data Scientist

Yandex N.V. (Taxi Department)
07.2016 - 01.2019
  • User segmentation. Tool: Clustering algorithms (K-means, DBSCAN) and dimensionality reduction methods (PCA).
  • Forecasting demand for taxi services. Tool: Time series models (ARIMA, Prophet) or gradient boosting (XGBoost).
  • Pricing analysis and tariff optimization. Tool: Dynamic pricing algorithms based on machine learning.

Education

Ph.D. - Artificial Intelligence

Moscow Institute of Physics And Technology
08.2023

Master of Science - Data Sciences

High School of Economics
Moscow, Russia
07.2019

Bachelor of Science - Mathematics And Computer Science

High School of Economics
Moscow, Russia
06.2016

Skills

    Python, Scala, R

    PyTorch, TensorFlow, Keras

    CV, NLP, Classic ML

    SQL, Hadoop

    Numpy, Sklearn, Pandas

Timeline

Lead AI R&D Section

Skolkovo Insitute of Science and Technology
02.2021 - 07.2024

Senior Machine Learning Researcher

Moscow State University, Math Methods in Ecs. Dep.
05.2019 - 10.2021

Data Scientist

Yandex N.V. (Taxi Department)
07.2016 - 01.2019

Ph.D. - Artificial Intelligence

Moscow Institute of Physics And Technology

Master of Science - Data Sciences

High School of Economics

Bachelor of Science - Mathematics And Computer Science

High School of Economics
Evgeny Olshansky