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ashrafalaghbari/README.md

Hello, I'm Ashraf Alaghbari👋

NumPy Pandas statsmodels SciPy Plotly PyTorch scikit-learn Keras TensorFlow SHAP Streamlit Google Cloud Docker Open In Colab Visual Studio Code CI/CD Version Control Jira

About Me

I am a data scientist, petroleum engineer, and analyst with a strong passion for AI applications and expertise in MLOps. My goal is to leverage my engineering, programming skills and data analysis expertise to develop innovative solutions.

  • 🔭 I’m currently exploring the intersection of AI and MLOps
  • 🌱 I’m constantly learning and staying up-to-date with the latest advancements in the field
  • 💼 I'm open to new opportunities and exciting projects that push the boundaries of AI applications

Education

  • 🎓 I hold a Bachelor's degree in Petroleum Engineering
  • 🎓 I also have a Master's degree in Data Science

Skills

  • Programming Languages: Python, R, SQL
  • Data Analysis: Data Visualization, Data Cleaning, Data Wrangling
  • Statistical Techniques: Hypothesis Testing, Descriptive Statistics, Univariate/Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Affinity & Association, Time Series Analysis
  • Tools and Technologies: Docker, CI/CD Pipelines, Cloud Computing, Version Control (Git), Jira

Projects

  • GA-TCN-LSTM: Multivariate Time Series Forecasting of Oil Production Based on Ensemble Deep Learning and Genetic Algorithm
  • RetailSensai: Retail Sales Forecasting and Monitoring
  • ProBHP: Intelligent FBHP Estimation and Analysis
  • odc: Outliers Detection, Visualization and Treatment in Oil Well Datasets
  • OzoneDash: Interactive Ozone Layer Insights Dashboard: Emissions, Montreal Protocol Impact, and Ozone Stabilization

Contact Me

Feel free to explore my repositories and contributions here on GitHub. I'm always open to collaboration and welcome feedback on my projects. Let's connect and create innovative solutions together!

Pinned

  1. GA-TCN-LSTM GA-TCN-LSTM Public

    An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.

    Jupyter Notebook 42 10

  2. odc odc Public

    A Python Module for Outliers Detection, Visualization and Treatment in Oil Well Datasets

    Jupyter Notebook 2 1

  3. OzoneDash OzoneDash Public

    Interactive Ozone Layer Insights Dashboard: Emissions, Montreal Protocol Impact, and Ozone Stabilization

    R 1

  4. ProBHP ProBHP Public

    An AI-powered app for flowing bottom-hole pressure estimation and analysis in oil wells with multiphase flow.

    Jupyter Notebook 4 1

  5. RetailSensei RetailSensei Public

    Retail Sales Forecasting and Monitoring project offers real-time analysis and forecasts for retail sales.

    Jupyter Notebook 3