I'm an mechanical engineer transitioning to the data science industry. I'm passionate about leveraging data to create valuable insights and solve real-world problems for businesses.
Here are some of the projects I'm currently working on:
-
Forecasting Food Retailer: developed a multi-step forecasting LightGBM model to predict sales of 10 food products in 2 different stores using recursive forecasting with a mean average error of 5 daily selling units.
-
End-to-End Machine Learning App: created a weather forecasting app using my own Raspberry Pi and a microcontroller to predict the room temperature at home with an error of 5% using XGBoost.
-
British Airways experience: identified top 5 reasons for customer dissatisfaction using NLP from actual reviews and built a classification tree-based ML model that helped identify the 5 most important factors when booking a flight.
-
Retail market analysis: analysed Madrid neighborhoods using Airbnb data, identified 11 key areas for maximising renting revenue.
-
Solar power plant generation analysis: developed root cause analysis for equipment failures, resulting in the implementation of preventive measures that reduced future failures by 30%.
- Python: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
- Data Visualization: Tableau
- Machine Learning: Regression, Classification, Forecasting
- Deep Learning: Neural Networks, Tensorflow, Pytorch
- Database Management: SQL
- Statistical analysis: Design of Experiments, Statistical Hypothesis Testing
If you're interested in collaborating on a project or just want to say hi, feel free to reach out to me!
- Email: luis.castrillo.data@gmail.com
- LinkedIn: linkedin.com/in/luis-cj
Thanks for stopping by!