Early-career Data Analyst and Data Scientist with practical experience in data analysis, machine learning, and data engineering. I am interested in building end-to-end data solutions, from data processing to analysis, modeling, and visualization, with a focus on clean workflows, structured approaches, and real-world relevance.
- Conducting Exploratory Data Analysis (EDA) and statistical analysis using Python and SQL
- Transforming raw data into insights that support business and operational decision-making
- Building and evaluating machine learning models for classification and predictive tasks
- Understanding end-to-end machine learning workflows, including data preprocessing, model training, evaluation, and inference
- Implementing ETL pipelines for structured data processing
- Performing data quality validation and preprocessing
- Managing data workflows using orchestration tools
- Developing dashboards for monitoring and performance analysis
- Communicating analytical results in a clear and structured manner
- Python
- SQL
- Pandas, NumPy
- Scikit-learn
- TensorFlow, Keras
- PostgreSQL
- Elasticsearch
- Kibana
- Apache Airflow
- Great Expectations
- Streamlit
- Hugging Face Spaces
- End-to-end data analysis workflows as a foundation for applied learning
- Machine learning pipelines covering data preparation, modeling, and evaluation
- Fundamental data engineering implementations with validation and orchestration
- Well-structured repositories with reproducible notebooks and scripts
- Working in the field of data analysis and data science
- Using data to support decision-making processes
- Developing technical skills through projects and team collaboration
- Email: achmadghulaam@gmail.com
- LinkedIn: Achmad Ghulam Habib Al-Widani