About

A short bio, a few principles.

I like work that turns data into clear decisions.

Bio

I’m Layla Alsaabna, an aspiring Data Analyst and Web Developer with a foundational background in Python, SQL, and Excel. I enjoy wrangling data, finding patterns, and communicating results through clean, stakeholder-friendly dashboards.

I’m especially interested in AI, deep learning, and computer vision, and I’m also curious about cybersecurity and digital forensics.

Strengths

  • Data wrangling, transformation, and EDA
  • Turning analysis into dashboards and narratives
  • Building and evaluating ML models with strong baselines
  • Detail-oriented, reliable, and effective in remote settings

Core Competencies & Skills

Data Analysis & Visualization
Data Wrangling, Exploratory Data Analysis (EDA), Data Transformation, Statistical Analysis, Data Manipulation, Quantitative Analytics, Attention to Detail, Power BI, Tableau
Programming & Databases
Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL
AI & Automation
RAG, LLM workflows, n8n automations, building pipelines (e.g., Brain Rot workflow)
Backend & Cloud
Backend/API calls (REST), serverless functions, Supabase
Web Development
Website development via vibe coding + strong overall programming understanding, frontend fundamentals, and how frontend integrates with backend
Professional Attributes
Logical Thinking, Problem-Solving, Collaboration, Self-Driven, Reliability in Remote Settings

Now

Currently polishing case studies, improving dashboards, and building small AI/vision projects.

Browse projects Email me

Experience

Recent training + internships focused on shipping real work.

Data Visualization — Udacity Nanodegree

Aug 2025 – Dec 2025 (Remote)

  • Designed interactive Tableau dashboards with filters, calculated fields, and story points
  • Applied best practices: chart selection, visual hierarchy, and color encoding
  • Defined KPIs and built stakeholder-focused narratives

AI Engineer Intern — Udacity Nanodegree

Feb 2025 – Mar 2025 (Remote)

  • Built foundational neural networks using TensorFlow
  • Developed and trained image classification models on real-world datasets
  • Improved modular, reusable Python code habits

Machine Learning Intern — Udacity Nanodegree

Oct 2024 – Mar 2025 (Remote)

  • Built and evaluated supervised ML models (LogReg, SVM, Decision Trees, Naive Bayes)
  • Completed projects like donor prediction and customer segmentation
  • Communicated results with Matplotlib/Seaborn visuals

Data Analyst Intern — Udacity Nanodegree

May 2024 – Aug 2024 (Remote)

  • Performed data wrangling + exploratory analysis to uncover trends
  • Collected data via APIs and web scraping; completed end-to-end projects
  • Presented findings through visual reports and dashboards