Raif Tanjim

I’m a Data Scientist and Machine Learning Engineer focused on building predictive models and intelligent systems for complex, real-world engineering datasets. I deliver end-to-end AI solutions, from feature engineering and rigorous evaluation to practical deployment of applied ML systems.

Since 02/2025, I’ve been working as a Data Intelligence Researcher Lead at ReGed, where I develop machine learning and statistical models for detection and predictive analytics across large-scale, multi-source engineering datasets. I’ve built time-series forecasting and regression models for fault diagnosis and environmental prediction, and I support production-quality analysis with SQL and distributed computing workflows such as Spark.

I bring a research-first mindset, contributing to experimental design, hypothesis testing, model evaluation, and IEEE-level research publications. I enjoy turning messy data into reliable signals—whether it’s time-series forecasting, computer vision, or anomaly detection—so my work can directly support real engineering decisions.