I am Nael, a Data Analytics Engineer with a passion for transforming raw, messy data into trusted insights that make a difference. Originally started as an Electrical Engineer, I transitioned into data science during the COVID-19 pandemic and earned the MIT MicroMasters in Statistics and Data Science. Since then, I’ve applied my skills to solve high-impact data problems in classified platforms, EdTech, and I’m eager to expand into NGO and mission-driven projects.
What I Do Best
- Data Analytics Engineering: Build and automate data pipelines, optimize queries, and support reliable reporting workflows
- Data Validation & Quality: Develop automated processes to improve data accuracy and minimize reporting errors
- Impactful Insights: Translate data into actionable business intelligence for product, marketing, and operations teams
- Teaching & Mentoring: As Head Teaching Assistant at Correlation One, I’ve mentored over 1,200 learners in analytics and problem-solving
Skills Overview
- Core Areas: Data Transformation, Data Modeling, Data Validation, Monitoring & Evaluation, Business Intelligence
- Tools & Languages: SQL, Python, Snowflake, Apache Airflow, Tableau, Power BI
- Soft Skills: Cross-functional collaboration, mentoring, stakeholder communication, and problem-solving
Whether you’re exploring how to improve your data systems or looking for someone who can turn data into meaningful insights — I’d love to talk.