Azin Faghihi
Data Scientist at Amida Technology Solutions- Claim this Profile
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Bio
Experience
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Amida Technology Solutions
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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Data Scientist
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Feb 2022 - Present
Washington DC-Baltimore Area
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General Assembly
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United States
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Higher Education
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700 & Above Employee
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Data Science Immersive
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Aug 2021 - Oct 2021
Washington, District of Columbia, United States Utilizing Python for data analysis, data visualization, and machine learning modeling. Tools include Numpy, Pandas, Matplotlib, Seaborn, SQL, AWS, web scraping, git, Scikit-learn, Tensorflow, and Spark. Selected Projects: - Subreddit Topic Classification: An NLP classification on two subreddits - Anxiety detection: An NLP study of detecting anxiety in text - Offshore Leaks Exploration: A study of networks and graphs using networkx
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Software Engineer
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Feb 2015 - Jul 2021
Los Angeles ⋄ Deployed web services on Amazon AWS (RDS, EC2, S3). ⋄ Designed an end-to-end automated content management service including: ⋄ Data collection by implementing platform-specific web scrapers from multiple web sources and data types. ⋄ Design and implementation of an internal search engine for content metadata ⋄ Data statistics aggregation and visualization ⋄ Extensive use of Google Cloud Services (AppEngine, ComputeEngine, Datastore), Google Drive API,… Show more ⋄ Deployed web services on Amazon AWS (RDS, EC2, S3). ⋄ Designed an end-to-end automated content management service including: ⋄ Data collection by implementing platform-specific web scrapers from multiple web sources and data types. ⋄ Design and implementation of an internal search engine for content metadata ⋄ Data statistics aggregation and visualization ⋄ Extensive use of Google Cloud Services (AppEngine, ComputeEngine, Datastore), Google Drive API, Dropbox API Show less
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UCLA
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United States
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Higher Education
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700 & Above Employee
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Graduate Research Assistant
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2009 - Dec 2015
UCL A Beam Control Laboratory ⋄ Identified prediction models for aero-optical wavefronts and verified the models by comparing the experimental data with the numerical simulation results. ⋄ Developed a new mathematical method for state-space identification of prediction models for dynamical systems using optimal state-space filters and adaptive lattice filters. ⋄ Determined the flow characteristics of optical wavefronts by applying spatial and temporal cross-correlation to wavefront images.
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Education
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University of California, Los Angeles
Doctor of Philosophy (Ph.D.), Mechanical Engineering -
University of California, Los Angeles
Master of Science (M.S.), Mechanical Engineering -
University of California, Berkeley
Bachelor of Science (B.S.), Mechanical Engineering -
University of California, Berkeley
Minor in Design, Theater and Performance Studies -
University of California, Berkeley
Bachelor of Science - BS, Mechanical Engineering