In my daily tasks, I provide internal data science consultancy, hence projects performed are diverse and serve different purposes:
Some examples of projects performed:
- Unsupervised learning Outlier detection data comes from procurment department
- Detailed EDA combined with statical A/B testing (multiple projects)
- Process Mining on AML process (Anti money laundry) using it to highlight not compliant portion of the process 🙄
- Network analysis to decode a very complex project management structure, explaining the interactions of project members in cross brands projects. Used later to identify bottlenecks and updates project's layouts
- Vehicle Sales value forecast, tested many models however model deployed eventually was XGBoost
- Document similarity NLP using DeepLearning Neural Network to classify and cluster massive amount of documents. eventually utilized by Auditing department saving them from going through all these documents manually 😅
I love good Visualization because: they're fun! 😄
🌱 Interested in developing my knowledge in NLP and Reinforcement learning
📫 Get in touch with me on LinkedIn.