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!