プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Mostafa B.に依頼

Egypt

Scientific Editor (800+ manuscripts) & ML/Data Scientist specializing in Reliable AI Deployment

プロフィール概要

I'm a data scientist and scientific editor with seven years of experience reviewing and strengthening research manuscripts, combined with an MSc in Data Science focused on reliable, deployable machine learning for medical imaging. *Scientific & Manuscript Editing* Over the past seven years at Cactus Communications (Editage), I've reviewed 800+ research manuscripts across several fields, assessing methodology, statistical reporting, and data presentation for accuracy and rigor before submission to peer-reviewed journals. My work goes beyond language polishing: I evaluate whether a study's methodology and evidence actually support its stated conclusions, and I help authors strengthen the logical flow and statistical framing of complex quantitative work under tight deadlines. I'm a native Arabic speaker with fluent English, which allows me to work directly with Arabic-language sources and literature; useful for projects with a Middle East/GCC regional focus. *Data Science & Machine Learning Research* My master's research (Cairo University, Faculty of Graduate Studies for Statistical Research) focuses on a central challenge in medical AI: models can achieve strong accuracy while still being unreliable in ways that matter clinically: knowing when to trust a prediction, and when not to, is often more important than accuracy alone. My work addresses this through model calibration, uncertainty quantification, and risk-controlled decision frameworks that help determine when an AI system's output can be safely acted on versus when it should be flagged for human review. This research is under review at an international medical-imaging conference. Technically, I work in PyTorch, statistical analysis and hypothesis testing, model calibration and uncertainty quantification, and MLOps tooling (Docker, FastAPI, MLflow, CI/CD across GCP, Azure, and AWS). I also hold a BSc in Finance, which gives me a genuine quantitative and economic-reasoning foundation beyond pure ML: useful for projects involving cost-effectiveness analysis, resource allocation, or health-economics framing. What I offer clients: -Literature reviews and systematic/scoping reviews, including English- and Arabic-language source coverage; -Statistical review and methodology assessment of research manuscripts and study designs; -Data science / ML consulting, particularly in healthcare and medical imaging contexts; -Research writing, editing, and technical communication under deadlines. I'm responsive, detail-oriented, and comfortable with fast turnaround when the scope calls for it: happy to discuss project specifics.

専門分野

• ★ Data Analysis
• ★ Machine Learning
• ★ Deep Learning
• ☆ Data Collection
• ☆ Statistics
• ☆ Study Design
• ☆ Statistical Review
• ☆ Decision Science
• ☆ Python
• ☆ R

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, Copywriting

Research Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis

職務経験

Freelance scientific editor

Cactus Communications

4月 2019 - 現在

学歴

MS in Data Science

Faculty of Graduate Studies for Statistical Research, Cairo University

9月 2022 - 現在

BSc in Finance

Cairo University

3月 2015 - 1月 2019

認定資格

• Deep Learning Specialization

  deeplearning.ai

  3月 2026 - 現在

• Machine Learning Specialization

  DeepLearning.AI and Stanford University

  https://www.coursera.org/account/accomplishments/specialization/LX3MSEYDFAAR

  2月 2026 - 現在