Skip to content
View albarabimakasa's full-sized avatar

Organizations

@lecturing

Block or report albarabimakasa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
albarabimakasa/README.md

Albara Bimakasa

Welcome to my GitHub profile! I'm a Industrial Engineering graduate specializing in data science and AI applications. My passion lies in using data-driven insights to solve complex problems in agriculture, healthcare, and more.

🧑‍💻 About

I’m graduate from Industrial Engineering at Universitas Islam Indonesia. As part of this journey, I’m building my expertise as a data scientist. I’ve honed my skills through Kaggle competitions, where I analyze data and develop predictive models, and have real-world experience as part of the AI team at CoXplore Vietnam.

Research Interests

  • Artificial Intelligence Applications - Agriculture, Healthcare, and Environmental Sciences
  • Data Science & Analytics - Modeling, insights, and business intelligence

I'm always open to collaboration! Reach out at: albara.husain@students.uii.ac.id

💼 Projects

Data Science and AI Projects

  • Health Indicators in Indonesian Provinces
    Analyzing pre-and post-pandemic health indicators to group provinces based on health aspects.

  • Crop Recommendation System
    Climate change analysis to predict crop recommendations based on environmental data.

  • Clinical Decision Support System
    A hybrid recommender model for hospitals to improve healthcare decision-making.

  • Text Generator Deployment

    • Corpus Mining
    • AI Model Training (N-Grams, BI-LSTM)
    • Flask API Deployment
  • Predicting Customer Subscriptions
    Using logistic regression to predict customer subscription likelihood for premium features.

  • Fraud Detection
    Leveraging Artificial Neural Networks and undersampling to detect potential fraud for credit card companies.

  • Student Creativity Week (PKM)
    Team leader in this government-supported student project initiative.



🖥️ Get in Touch

Feel free to explore my projects, connect with me, or check out my full resume and publications. Let’s build something great together!


© 2024 Albara Bimakasa

Pinned Loading

  1. fintech-problem-using-logistic-regression fintech-problem-using-logistic-regression Public

    this is a model to predict which customer need some advertiser in case to make they subscribe the premium feature

    Python 1

  2. solve-credit-card-problem-with-ANN-model solve-credit-card-problem-with-ANN-model Public

    Jupyter Notebook 1

  3. Solve-classification-image-problem-in-zalando-data-set-using-CNN Solve-classification-image-problem-in-zalando-data-set-using-CNN Public

    this is a machine learning that can classify zalando product

    Jupyter Notebook 1