moattar najam

I’m a Data Analyst with a Master of Science in Data Science (FAST-NUCES, GPA: 3.70/4.00) and a strong focus on turning messy data into reliable, business-ready insights. I collect and clean datasets from multiple sources, then apply analytical techniques to surface trends, patterns, and actionable recommendations.

In my recent experience, I supported KPI tracking and interactive, real-time analytics by extracting and transforming data from REST APIs for business stakeholders. As a React, Full Stack, and Backend Developer, I built and optimized end-to-end data flow—integrating data visualization components, improving API reliability, and strengthening data accuracy and integrity through validation and update cycles.

My projects blend analytics and machine learning to communicate results clearly: from GNN performance analysis and multilingual data modeling to enterprise ML pipelines with feature engineering and ensemble classification. I also built an end-to-end salary prediction and an analytics dashboard platform (MySQL + REST APIs + Plotly) to deliver KPI monitoring, predictive insights, and decision-ready reports.