My Resume: Link
- 🔭 I am a recent graduate in Data Science from Maastricht University, Netherlands
- 🚀 My interests lie in Information Retrieval, Deep Learning and NLP
- ⚡ I am actively looking for job opportunities
- 👯 I’m looking to collaborate on cool projects
- 💪 I love contributing to open-source libraries.
I defended my master thesis on Fuzzy Name Matching on Aug '23. You can read the report here.
- Scoring suggestions for student answers using LLMs - Automatic grading of open ended questions to assist evaluators
- Colorisation with Autoencoders - A convolutional autoencoder is used to colorise grayscale images.
- Classification of MEG data - Classification of mental state of the subject using MEG scans using CNNs.
- Weather Prediction using GANs - Used generative adversarial neural networks(GANs) for nowcasting.
- Customer propensity prediction - Experiments with different classification models to predict the propensity of a customer to buy a caravan insurance.
- Recommender System - Prediction of next purchase of a customer based on customer behaviour over 7 quarters.
- Machine Learning Verification - Mathematical verification of behaviour of neural networks
- ScaNN : Accelerating Maximum Inner Product Search - Article on ScANN : A paper about accelerating maximum inner product search
- On Python 3.11 release - The 11th major update of Python 3.0 is out. Here are some of the interesting updates about it.
- A simple fix for Strava errors - A simple solution for erratic Strava tracking
More coming soon...
- Run-Now project and Open-Source :)