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Mazen Othman

@mazenothman

Message

I build real-time data pipelines and anomaly detection for operational decision-making.

Egypt

Message

What I'm looking for

I'm looking to apply Python, SQL, statistical modeling, and machine learning to scalable real-world systems, especially time-series forecasting, anomaly detection, data quality, and operational decision support.

At Gridware, I build Databricks SQL pipelines and Tableau dashboards for electrical-grid operations, improving performance by up to 67% and reducing reporting time by 20%. I analyze high-frequency grid time-series data, detect anomalies, and support rapid operational routing decisions.

I'm pursuing an M.Sc. in Data Science and Machine Learning at Imperial College London, building scalable predictive systems with Python, SQL, statistical modeling, and machine learning. My work includes a German power-market forecasting pipeline that achieved a 35% MAE improvement over a seasonal naive baseline, alongside research processing terabytes of STAR experiment data at Brookhaven National Laboratory.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Gridware Inc.

Jun 2025 - Present (1 year 3 months)

Developed Databricks SQL pipelines to automate categorization of operational data, optimizing TTR analytics and delivering real-time dashboards via Tableau, improving performance by up to 67%. Analyzed high-frequency grid time-series data for anomaly detection and executed real-time forecasting and escalation logic.

Databricks SQL Tableau Python Time Series Analysis Anomaly Detection Forecasting Data Quality Assurance

Education

Degrees, certifications, and relevant coursework

Imperial College London

Master of Science, Data Science and Machine Learning

Pursuing a Master of Science in Data Science and Machine Learning, focusing on scalable analysis and predictive modeling for real-world systems.

The American University in Cairo

Bachelor of Science, Mathematics

Developed a strong foundational expertise in pure mathematics, mastering subjects including calculus, discrete mathematics, and linear and abstract algebra. Specialized heavily in statistics and probability theory, utilizing advanced statistical methods to analyze data and draw actionable conclusions.

The American University in Cairo

Bachelor of Science, Physics

Authored a thesis on optimizing nano-antenna designs in the visible spectrum, applying gradient descent algorithms to complex simulation data. Mastered the fundamental principles of classical and modern physics, utilizing advanced mathematical techniques to collect data, analyze results, and solve complex physics problems.