Armin Nabizadeh

Background

About Armin Nabizadeh

I’m a Data Scientist and astrophysicist with over 10 years of hands-on experience in delivering robust, data-driven solutions. I specialize in analyzing large and complex datasets, optimizing models using a range of statistical techniques and machine learning methods including supervised, unsupervised, and neural networks, and creating insightful visualizations in Python. I am passionate about digging into complex problems, devising innovative approaches, and designing algorithms to achieve impactful results. In addition to my data science expertise, I am enhancing my skills in data engineering and cloud computing, with a foundation in Spark, SQL, Azure, and Databricks. My increasing knowledge in ELT processes and orchestration enables me to contribute effectively across the data pipeline, from data ingestion to model deployment. Skills- Programming: Python, Bash, Matlab, LaTeX - Data Analysis:(Geo)Pandas, Numpy, Scipy, SQL, PySpark, dbt, Spark - Data Visualisation: Matplotlib, Seaborn, Plotly, Tableau - Machine Learning: SciKit-Learn, TensorFlow, Keras, PyTorch - Gen AI: LLMs, RAG - Tools: Git, Github, Shell Scripting - Cloud: Airflow, Azure Databricks - Statistical Modeling: Regression, Classification, Tree-based Models, Neural Networks; Conventional Modeling (likelihood, chi^2), Hypothesis Testing, Bootstrap Simulations