Hi, I'm Ashwaq Almalki
Data Scientist | Analyst
Transforming complex data into actionable insights. Passionate about building intelligent systems and uncovering hidden patterns in data to drive business decisions.
View Resume
Transforming complex data into actionable insights. Passionate about building intelligent systems and uncovering hidden patterns in data to drive business decisions.
View Resume
Here are some of my recent data analysis and machine learning projects that showcase my skills and expertise.
Fine-tuned AraBERT on 19k Saudi rulings using aggregation methods to predict court outcomes, achieving 86% accuracy.
Trained a deep learning model on HAM10000 using ResNet50 + SVM to classify 7 diseases with 86% accuracy.
Unsupervised learning (PCA + Agglomerative) on Tadawul trading data; silhouette score 0.621 with 4 clusters.
Topic modeling & sentiment analysis on Maroof reviews (SetFit up to 92% acc) + interactive dashboard.
EDA revealing pricing drivers & neighborhood patterns; interactive Streamlit storytelling.
Cleaning + EDA on global rankings; patterns & comparisons incl. Saudi universities.
Cleaning, EDA & an interactive dashboard to uncover hiring trends and insights.
Interactive Power BI dashboard of ambulance reports by category, region, year, and per-capita rate.
I've developed a diverse set of skills that allow me to tackle complex data problems from multiple angles.
My academic background has provided me with a strong foundation in mathematics, statistics, and computer science.
Jeddah University
2022 - Present
Focused on statistical modeling, machine learning, and big data technologies. Thesis on "Legal Judgment Prediction".
Umm Al-Qura University
2014 - 2019
Majored in Computer Science with minors in Mathematics and Statistics. Graduated with honors.
Continuous learning is key in the fast-evolving field of data science. Here are some of the courses I've completed.
Intensive training covering Python, data analysis, visualization, and machine learning algorithms with real-world projects.
Comprehensive program covering data science methodologies, Python, SQL, visualization, and machine learning using IBM tools.
Mastered SQL fundamentals including complex queries, joins, aggregations, and database design principles.
Distributed data processing with PySpark, including RDDs, DataFrames, and Spark SQL for big data analytics.
Advanced Excel functions, pivot tables, data visualization, and automation for business analytics.
Hands-on training on Generative AI and LLMs, including prompt engineering, fine-tuning, and deploying AI models on AWS.
Hands-on program on AI, cloud, and machine learning by ICAIRE & SDAIA, powered by Microsoft.
Power BI from fundamentals to advanced analytics (DAX, modeling, interactive dashboards).
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!