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Muhammad Idrees

@muhammadidrees5

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I build reliable machine-learning research and Azure data pipelines for reproducible, high-quality predictions.

Pakistan

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What I'm looking for

I'm looking to apply reliable machine-learning, reproducible evaluation, and data engineering skills to real-world problems, particularly cybersecurity machine learning.

I've developed five undergraduate research manuscripts at IMSciences, including an accepted Elsevier conference paper and first-author studies on model calibration, ML pipeline faults, data leakage, and preprocessing order effects. My sole-author PLOS ONE submission quantifies SMOTE-induced data leakage across nine clinical datasets.

For my final-year project, I built an Azure data engineering pipeline for PSX stock prediction, training LSTM models that achieved MAPE below 2% on held-out tests across three tickers. I deployed daily inference with Azure Data Factory and created a Streamlit and Plotly dashboard for predictions, residuals, rolling errors, and live stock news sentiment.

Experience

Work history, roles, and key accomplishments

Undergraduate Researcher

Institute of Management Sciences (IMSciences)

Jan 2025 - Dec 2026 (1 year 11 months)

Conducted empirical machine-learning research across multiple benchmark datasets, including model calibration in Rashomon sets, semantic fault detection in ML pipelines, and data-cleaning order effects. Contributed to experimental design, statistical analysis, implementation, and manuscript preparation across four co-authored studies.

Machine Learning Calibration Mutation Testing Cross Validation SMOTE Statistical Analysis Python scikit learn TensorFlow PyTorch data preprocessing Research Methodology

Education

Degrees, certifications, and relevant coursework

Institute of Management Sciences (IMSciences)

Bachelor of Science, Data Science

2022 - 2026

Grade: 3.11/4.00

Pursuing a BS in Data Science with a focus on reliable machine learning, including model calibration, data leakage, and reproducible evaluation. Completed a final year project on a data engineering pipeline for stock prediction on Azure.