Causality Researcher/Data Scientist with expertise in causal inference, machine learning, and data-driven decision-making. Currently pursuing a Ph.D. in Causal Inference/Deep Learning at the Computer Vision Group in Jena, Germany. My research focuses on causal discovery methods and its applications, i.e., climate-ecosystems interactions, geophysical systems and neuroscience. I have extensive experience working in predictive maintenance, anomaly detection, and sensor data analysis for the rail industry. I have published research in prestigious journals and conferences. Proficient in Python, machine learning libraries, LLMs, and frameworks like AWS SageMaker, and Spark.

• 📫 Reach me via wasimahmad.qc@gmail.com