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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. Recommendation_Engine Recommendation_Engine Public

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

    HTML

  4. 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

  5. detoxification-rl detoxification-rl Public

    Language model detoxification using Reinforcement Learning with PPO and PEFT/LoRA fine-tuning

    Python

  6. Portuguese-Real-Estate-EDA Portuguese-Real-Estate-EDA Public

    This repository contains an EDA project on Portuguese real estate listings data, aimed at uncovering insights on property prices, types, and geographical factors influencing the real estate market …

    Jupyter Notebook