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parhamdehghani/README.md

PhD in particle physics with extensive experience in machine learning and coding, armed with a deep understanding of advanced algorithms. Strong problem-solving skills and a passion for innovation. Proficient in data wrangling, ETL coding, AWS computation, machine learning algorithms, NLP transformers, and ML pipeline development. Have worked on many challenging research projects in particle physics and industry that differentiate my capabilities.

You can reach out to me via email: p.dehghani88@gmail.com

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  1. WebApp_DisasterResponse WebApp_DisasterResponse Public

    NLP classifier based on tfidf transformer and including a whole pipeline

    Python

  2. Arvato-Segmentation Arvato-Segmentation Public

    Segmentation using clustering and then training and verifying a predictor given demographic features of individuals

    Jupyter Notebook

  3. CovidDetectionXRay CovidDetectionXRay Public

    Detecting Covid cases by analyzing the X-ray images of the lungs - using a pre-trained model

    Jupyter Notebook

  4. Recommendation_Engine Recommendation_Engine Public

    Recommendations with IBM Data (knowledge-based plus collaborative filtering both model-based and neighborhood-based)

    HTML

  5. BLRSSM-Benchmark-Scanning BLRSSM-Benchmark-Scanning Public

    These are the codes I have developed for conducting the primary and sensitive scans through the hyper-dimensional parameter space of the BLRSSM SUSY model which is hypothesized to replace the stand…

  6. SeattleAirbnbInsight SeattleAirbnbInsight Public

    This project aims to analyze the Seattle Airbnb dataset to gain insights into reservation prices and the factors that influence them.

    Jupyter Notebook