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Shereen Ghaith

@shereenghaith

Data Analyst at Skoltech, where I improved insulator breakdown prediction accuracy to 84% using new features and statistical models.

Russian Federation

Message

What I'm looking for

I aim to apply advanced analytics and predictive modeling to improve the reliability of high-voltage equipment, optimize production processes, and reduce operational risks.

At Skoltech, I contributed to a power line risk management project for PJSC Rosseti, developing models to predict insulator breakdown voltage. By creating new predictive features and statistical models, I increased model accuracy to 84%.

At Severstal, I analyzed production data and developed a coating quality classifier with 92% accuracy, integrating it into the user interface for automated inspection. I also developed a regression model to predict coating dimensions.

At Volga Startup, I analyzed sensor data and developed a machine learning model that predicted leakage current with 98% accuracy for insulator diagnostics. My work and studies focus on applying data analysis and predictive modeling to energy systems and industrial processes.

Experience

Work history, roles, and key accomplishments

Research Engineer

Skoltech

Apr 2024 - Apr 2025 (1 year)

Contributed to a power line risk management project for PJSC Rosseti, developing models to predict insulator breakdown voltage. Increased predictive model accuracy to 84% through feature engineering and statistical modeling.

Python Machine Learning Feature Engineering Statistical Modeling Data Analysis Oscillogram Data Analysis

Data Science Intern

Severstal

Jan 2024 - Mar 2024 (2 months)

Analyzed production data to identify key parameters affecting steel and coating quality. Developed a coating quality classifier with 92% accuracy and a regression model for coating dimensions with R² of 78%.

Python Machine Learning Data Analysis Regression Modeling Classification UI Integration

Data Science Intern

Volga Startup

May 2023 - Jul 2023 (2 months)

Analyzed large sensor datasets to identify patterns in power line insulator behavior. Developed a machine learning model to predict leakage current with 98% accuracy for insulator diagnostics.

Python Machine Learning Sensor data analysis predictive modeling

Education

Degrees, certifications, and relevant coursework

Skolkovo Institute of Science and Technology

PhD, Engineering Systems

2024 -

Currently pursuing a PhD in Engineering Systems with a specialization in System Analysis and Information Processing.

Coursera

Machine Learning with Python, Machine Learning

Completed the Machine Learning with Python course.

Skolkovo Institute of Science and Technology

Master of Science, Energy Systems

2022 - 2024

Grade: 4.80/5.00

Completed a Master of Science in Energy Systems with a specialization in Electric Power Engineering. Thesis focused on condition forecasting of overhead power line insulators based on leakage current measurements.

DataCamp

Unsupervised Learning in Python, Machine Learning

Completed the Unsupervised Learning in Python course.

DataCamp

Python Data Science Toolbox, Data Science

Completed the Python Data Science Toolbox course.

DataCamp

Introduction to Deep Learning with PyTorch, Deep Learning

Completed the Introduction to Deep Learning with PyTorch course.

DataCamp

Supervised Learning with scikit-learn, Machine Learning

Completed the Supervised Learning with scikit-learn course.

Coursera

SQL for Data Science, Data Science

Completed the SQL for Data Science course offered by UC Davis.

Moscow Engineering Physics Institute (MEPhI)

Bachelor of Science, Nuclear Power Engineering and Thermal Physics

2018 - 2022

Grade: 4.94/5.00 (with honors)

Earned a Bachelor of Science in Nuclear Power Engineering and Thermal Physics with a specialization in Nuclear Power Engineering. Final year project involved simulation of the AP1000 reactor in Serpent Code.