Open to opportunities

Shady Mohammed

@shadymohammed7

Message

Cloud-certified data scientist specializing in applied machine learning and analytics.

Egypt

Message

What I'm looking for

I seek a role where I can apply applied ML and cloud skills (GCP), work cross-functionally to impact revenue and operations, and grow in MLOps and production ML.

I am a cloud-certified data scientist with a BSc in Statistics & Insurance and a background in engineering, experienced in building statistical models, delivering data-driven insights, and collaborating with cross-functional teams to drive revenue and operational improvements. I have completed internships at Vodafone, P&G, and Nestlé and have practical experience migrating models to cloud platforms and automating analytics workflows that saved significant team time.

My hands-on projects include end-to-end big-data pipelines with PySpark and credit risk modeling with strong feature engineering that approached benchmark performance; I communicate technical results to non-technical stakeholders and continuously develop skills in MLOps, NLP, and LLMs to create impactful, production-ready solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Allianz

Sep 2025 - Present (10 months)

Built an automated risk scoring tool that saved 70% of team time and implemented data-driven loadings that increased profit by 20%, while standardizing renewal policy processes for improved operational decisions.

Risk Scoring Statistical Modeling Python SQL Data Analysis

Machine Learning Engineer

VOIS

Jul 2024 - Aug 2025 (1 year 1 month)

Migrated four ML models from AWS to GCP and collaborated with marketing to develop revenue-driving models, delivering production-ready pipelines and improving model reliability.

GCP AWS MLOps Python Marketing Analytics CI CD

Data Science Intern

Vodafone

Jul 2023 - Sep 2023 (2 months)

Developed three ML projects from segmentation to modeling, provided actionable insights informing strategic decisions, and presented technical results to non-technical stakeholders, receiving positive client feedback.

Segmentation Machine Learning Data Visualization SQL Python Experimentation Business Analytics