Alireza Faghaninia
Learning and exploring
9.1
Years of Experience
Education
washington university in st. louis, sharif university of technology, national organization for development of exceptional talents nodet
Companies
credit karma, credit karma, berkeley lab, washington university in st. louis
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Email (Verified)
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Experience
2020 - 2023
credit karma
Senior Machine Learning Engineer
2018 - 2020
credit karma
Machine Learning Engineer
2016 - 2018
berkeley lab
Materials Postdoctoral Fellow
Developing and utilizing software packages (e.g. https://github.com/hackingmaterials/matminer) to facilitate data-mining in material science. Combination of predictive machine learning models and electronic transport models (e.g. AMSET: https://github.com/hackingmaterials/amset) enables us to understand and design the band structures of semiconductors that result in favorable measurable electronic properties.
2011 - 2016
washington university in st. louis
Research Assistant
Research Assistant, Teaching Assistant
Experience
25 Skills
Airflow
Algorithms
Apache Airflow
Design
Feature Engineering
Git
infra
Infrastructure
Jupyter
Machine Learning (ML)
matlab
Matplotlib
MongoDB
MySQL
Natural Language Processing (NLP)
NumPy
Pandas
Pandas (Software)
Problem solving
pyspark
Python
R
scipy
Seaborn
Semiconductors
Education
2011 - 2015
washington university in st. louis
Doctor of Philosophy (PhD)
Energy, Environmental, and Chemical Engineering
2007 - 2011
sharif university of technology
Bachelor of Science (BS)
Mechanical Engineering
2004 - 2007
national organization for development of exceptional talents nodet
High School
Mathematics and Physics
