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hadinej/README.md

πŸ‘‹ Hi, I’m @hadinej I am a detail-oriented data scientist with a genuine interest in AI application and development. Skilled at quickly learning new processes and technologies, I am self-motivated with strong organizational and time management abilities.

Experience

  • Research Assistant, PoliTO, Turin (Remote)
  • Research Scientist / NLP Developer, Hubert, Stockholm
  • Deep Learning Engineer, PoliTO - Computer Vision Project, Turin
  • Machine Learning Specialist, PardazCo, Remote-IRAN
  • Data Analyst, Geomatic SamaneJ, Remote-IRAN

Education

  • MSc Data Science and Engineering
  • BSc Computer Science
  • BSc Engineering

Skills

  • Prog. Languages: Python, Java, HTML, MATLAB.
  • Data Management, Manipulation and Preprocessing: MySQL, MongoDB, Pandas, NumPy, Scikit.
  • Data Mining, ETL, EDA: ETL processes, Data pipelines, Data modeling, Beautiful Soup, Feature selection/Extraction, Data insights, Outlier detection, Pattern recognition.
  • Data Visualization: Tableau, Power BI, Matplotlib, Plotly.
  • Machine/Deep Learning: Neural networks, CNNs, RNNs, LSTM, GANs, Transfer learning, Pytorch, TensorFlow.
  • MLops: MLflow, CI/CD, Docker, Tf-extended, Circleci, Jenkins.
  • Mathematics: Linear Algebra, Statistical Analysis, Hypothesis testing, Regression/Time series analysis, Optimization
  • Big Data: Apache Hadoop, Apache Spark, Distributed computing/programming.
  • Cloud Deployment and containers: AWS, GCP, Heroku
  • Version Control: Git, GitHub, Bitbucket.
  • Web Development: Html, Flask, Django, Figma, REST APIs.
  • Natural Language Processing (NLP): Text preprocessing, Sentiment analysis, Named entity recognition, Text classification, Language modeling, LLMs, GPT, Trasformers, Prompt engineering.
  • Computer Vision: Object detection, Semantic segmentation, data augmentation, Domain-adaptation, GPU Acceleration and CUDA, CNN Architecture.

πŸ“« Reach me --> (hadi.nejabat@polito.it)

Popular repositories

  1. DL-Domain-adaptation-on-PACS-dataset DL-Domain-adaptation-on-PACS-dataset Public

    Implementation of Domain adaptation on PACS dataset using a modified version of Alexnet.

    Jupyter Notebook 1

  2. Network-Dynamics-and-Learning-Projects Network-Dynamics-and-Learning-Projects Public

    Network Dynamics and Learning course.

    Jupyter Notebook 1

  3. hadinej hadinej Public

    Config files for my GitHub profile.

  4. Sentiment-Analysis-on-Tripadvisor-reviews Sentiment-Analysis-on-Tripadvisor-reviews Public

    Sentiment analysis, analyzing user’s textual reviews, to perform a binary classification task (positive or negative mood). Designed a machine learning pipeline able to achieve an F1 score of 97.4% …

    Jupyter Notebook

  5. Classification-on-Wine-dataset Classification-on-Wine-dataset Public

    Classification on the Wine dataset using different Sklearn models

    Jupyter Notebook

  6. DL-Image-classification-techniques DL-Image-classification-techniques Public

    Exploration of various deep learning CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation were applied to compare results with the…

    Jupyter Notebook 1