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

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

• 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

• 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

• LinkedIn: https://www.linkedin.com/in/ashraf-alaghbari/
• Email: [email protected]

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!