Nizar Tazi

Introduction

I’m a Data Scientist & Full-Stack Engineer who genuinely enjoys building things that are useful, intelligent, and well-engineered. My background sits at the intersection of data, AI, and software engineering. Over the past few years, I’ve worked on machine learning projects, analytics systems, automation pipelines, and full-stack platforms, from predictive models in pharma and finance to production AI tools and SaaS products. I currently work at Edpulse as an Automation & Full-Stack Engineer / Data Analyst, where I design AI-powered systems with LangChain/LangGraph, build end-to-end applications, and create data pipelines and dashboards. A big part of my work is about simplifying complexity: automating heavy processes, turning raw data into clear insights, and shipping tools that people actually enjoy using. Some of these projects have reduced manual work by 60% and are now used by hundreds of users. Before that, I was a Data Scientist at Arhs Development and worked on large-scale machine learning and MLOps projects, and earlier a Data Science intern at Sanofi, focusing on predictive modeling and automated reporting. Today, I’m mainly looking for opportunities in Data Science and Data Analytics, while staying open to engineering roles where data and AI are at the core. I’m naturally curious, impact-driven, and I like environments where I can both learn and build. Always happy to connect, exchange ideas, or collaborate.

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