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aliamarliana/README.md

👋 Hi there! I'm Alia Marliana

🎓 Master of Data Science graduate from Universiti Sains Malaysia (USM) (CGPA 3.88/4.00),
with a Bachelor of Computer Science (Software Engineering) from Universiti Tenaga Nasional (UNITEN) (CGPA 3.98/4.00).

💡 I’m passionate about transforming data into meaningful insights through analytics, machine learning, and visualization.
My work bridges data science and full-stack development to build impactful, data-driven solutions.

🧠 Technical Skills

  • Languages: Python · R · SQL · Java · PHP
  • Data Science: Pandas · NumPy · scikit-learn · TensorFlow · PyTorch · spaCy(NLP) · Time Series Analysis · Statistical Data Analysis
  • Visualization: Power BI · Tableau · Matplotlib · Seaborn
  • Databases: MySQL · MongoDB · Cassandra
  • Web Development: HTML · CSS · JavaScript · Laravel
  • Tools: Git · Jupyter Notebook · Google Colab · Figma

📝 Projects

  • Predictive Analytics Models: Implemented decision trees, XGBoost, and SVM for predictive modeling using Python. Applied hyperparameter tuning to optimize model performance.
  • Data Visualization Dashboards: Created insightful dashboards using Power BI and Tableau to support data-driven decision-making.

💪 My Contributions

Here are some selected contributions I’ve made to group projects and collaborations.
(Note: some projects are not in my personal repository, so I’ve linked directly to the original team repos or design files.)

  1. Term Deposit Subscription Classification (Machine Learning, Python) – Data preprocessing and Experiment 1
  2. Health Disease Prediction (R) – Data preparation and Logistic Regression
  3. Redesigning UNITEN Info System for Mobile Interface (Figma) – Mobile interface redesign
  4. ZUS App Capybara Marketing Limited Edition (Figma) – Marketing interface design
  5. ZUS App Discount Promo (Figma) – Promotional interface design

🌱 Currently Exploring

🔹 NLP & LLMs (LangChain · Hugging Face · RAG)
🔹 Generative AI for intelligent applications
🔹 Data Engineering & MLOps

📫 Let's Connect!

Feel free to connect with me on LinkedIn or explore my projects here on GitHub!

Pinned Loading

  1. modular-rag-pipeline modular-rag-pipeline Public

    A modular, company-ready Retrieval-Augmented Generation (RAG) pipeline — easy to adapt, extend, and deploy.

    Python

  2. cafe-sales-powerbi-dashboard cafe-sales-powerbi-dashboard Public

    A business intelligence dashboard built in Power BI to transform R Coffee Co.’s sales data into actionable insights for menu optimization, staffing efficiency, and customer engagement.

  3. rossmann-sales-forecasting rossmann-sales-forecasting Public

    A sales forecasting project using SARIMA, CatBoost, and XGBoost models to predict daily revenue for Rossmann retail stores, comparing traditional time-series and modern machine learning approaches.

    Jupyter Notebook

  4. steam-games-recommender-part2 steam-games-recommender-part2 Public

    A performance analysis of multiple recommender system models — User-to-User CF, Item-to-Item CF, and Content-Based Filtering — to evaluate accuracy, ranking metrics, and optimization strategies for…

    Jupyter Notebook

  5. face-recognition-opencv-simpsons face-recognition-opencv-simpsons Public

    Face recognition system built using OpenCV, Caer, and TensorFlow to identify characters from The Simpsons dataset. Includes image preprocessing, CNN-based classification, and model training pipeline.

    Python

  6. llama2-blog-generator llama2-blog-generator Public

    AI-powered blog generator built with LLaMA 2, LangChain, and Streamlit.

    Python