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💻 Programming Languages:
- Python
- SQL
- VBA
- Shell Scripting (Bash, Zsh)
- HTML
- CSS
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🗄️ Database Management:
- SQL Server
- PostgreSQL
- MySQL
- Redshift
- SQLite
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🤖 Machine Learning:
- Building, training, and evaluating models for regression and classification tasks
- Algorithms from scikit-learn and statsmodels libraries (Random Forest Regressor, Support Vector Regressor, Neural Networks)
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📊 Statistical Analysis:
- Proficiency in statistical methods and tools for accurate data analysis and interpretation
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📈 Data Visualization:
- PowerBI
- AWS QuickSight
- Python (matplotlib, plotly)
- Excel
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🧹 Data Cleaning:
- Handling missing values, outliers, and inconsistencies
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🔄 Data ETL:
- Data Mapping
- Data Validation
- Data Manipulation
- Data Extraction, Transformation, and Loading
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🛠️ Software Development:
- Git & GitHub for version control
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🤖 Automation:
- Automating Cloud Resource deployment using Terraform
- Implementing automation scripts in Python
- Automating routine database tasks with SQL
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☁️ Cloud Solutions:
- AWS services and technologies
- Implementing secure and robust solutions using architectural design principles
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📜 Certifications:
- AWS Architect Associate
- Data Science from DSI, University of Toronto
Check out my projects on GitHub.