Navid Mottaghi

With a Ph.D. in Physics and my passion for challenging myself by exploring unresolved questions, I possess expertise in two fields: materials science and data science. The implementation of complex physical and mathematical models has created a strong bond between the fields. I have interest in the creation and characterization of materials, along with application of artificial intelligence to simulate and predict their properties. 

• Technical skills: 
  • Metrology Techniques:
    • Magnetometry (VSM, ACMS)
    • Wet Etching Techniques
    • X-ray Diffraction (XRD/XRR)
    • Atomic Force Microscopy (AFM)
    • Spectroscopic Ellipsometry
  • Clean Room Process
    • E-Beam Physical Vapor Deposition
    • Pulsed Laser Deposition
• Cloud Platforms: Azure, AWS
• Operating Systems: Unix, Windows
• Programming Languages: Python, R, C, Fortran, Matlab, Mathematica, Linux & Bash
• Database Tools: SQL Server Management Studio, MongoDB, SAS Enterprise Guide
• Development Tools: Visual Studio Code, Jupyter, Git
• Natural Language Processing (NLP): NLTK, spaCy, ScipaCy, RegEx
• Frameworks & Packages: Scikit-Learn, Scikit-Image, TensorFlow, Pandas, NumPy, Scipy, Matplotlib, PySpark, Streamlit, Flask, networkx
• Industrial Knowledge: Natural Language Processing (NLP), Image Processing, Customer Churn Analysis, Jira REST API, Stock-Prices Market Modeling, Data Mining, Feature Engineering, Time-Series Analysis, Physical Modeling, A/B Testing , Organizational Network Analysis, Recommendation System

Ph.D. Degree in Condensed Matter Physics