I hold a Master's degree in Applied Computer Science, specializing in Machine Learning, Data Science, and Advanced Algorithms. Iβm passionate about building efficient data pipelines and using statistical models to turn raw data into meaningful insights. My academic background and hands-on experience with various data-driven projects enable me to thrive in engineering and analysis roles.
- Languages: Python, SQL, Java
- Data Analysis: Pandas, Numpy, Scipy
- Machine Learning: Scikit-learn, TensorFlow, Keras
- Data Engineering: Apache Spark, Airflow, ETL pipelines
- Databases: MySQL, PostgreSQL, MongoDB
- Visualization: Matplotlib, Seaborn, Tableau
- Cloud: AWS (S3, EC2, RDS), GCP, Azure
- Big Data: Hadoop, Spark, Kafka
- Version Control: Git, GitHub
- Machine Learning: Implemented predictive models, including classification, regression, and clustering algorithms, to gain insights from data.
- Data Analysis: Built interactive dashboards and data visualization tools to aid decision-making.
- Advanced Algorithms: Used efficient algorithms to solve complex computational problems.
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