Inspiration
Our inspiration lies in crafting a healthier future, not just for healthcare but also for our planet. By aniticpating hospital purchases through data-driven efficiency, we're aiming to reduce waste and promote sustainable practices. Our project aims to empower hospitals in Spain to make eco-conscious decisions, contributing to a greener, more sustainable healthcare landscape.
What it does
This project optimizes hospital purchase process in Spain through extensive data analysis, leveraging various models to forecast needs and guide a strategic 2023 procurement plan. It aims to enhance efficiency and sustainability in healthcare.
How we built it
Our project is built through meticulous data exploration, analysis and model implementation. We perform an exhausting exploration of the given dataset, apply various models (such as XGBoost ensembles, CatBoost, Prophet, and ARIMA) for forecasting, and conduct detailed exploratory data analysis to optimize hospital procurement in Spain. The process involves careful data preprocessing, prediction, and strategic planning for 2023.
Challenges we ran into
In our project, we encountered challenges due to non-obvious temporality in the data, resulting in significant data drift and high variability. This made it crucial to implement robust strategies for handling evolving patterns and ensuring the models' adaptability to changing data dynamics.
Accomplishments that we're proud of
We take pride in the collaborative effort of our team and the comprehensive data analysis conducted on the dataset. The dedication and joint expertise allowed us to delve deep into the data, ensuring a thorough understanding and valuable insights.
What we learned
We learned to effectively apply our collective knowledge to real-world business cases, especially in navigating and interpreting complex datasets. This experience equipped us with valuable insights into merging theoretical understanding with practical applications.
What's next for NTTDATA - Group82 - Healthcare purchase plan analysis 2023
Continuing the project, we aspire to delve deeper into the data, exploring additional ML methodologies and other State of The Art models. Our focus includes integrating external data to enhance model performance and gain richer insights for more robust and accurate predictions.
Built With
- arima
- catboost
- forecasting
- machine-learning
- ntt-data
- powerbi
- powerquery
- prophet
- python
- time-series
- xgboost
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