I am passionate data scientist with nearly years of experience in building data intensive applications in Banking Sector. Business problems solved by me along with my team are running in production with desired accuracy. Developed Yes/No model to accelerate Retail SME (RSME) loan growth with new digital end-to-end experience and real-time approvals. Worked on Sampling, Segmentation, Unsupervised Clustering, Feature Engineering, EDA, Model Developement, Validation, Backtesting, Postmortem, Explainability etc. Created Limit Model of RSME to set maximum amount of loans to approved using time series clustering and neural network. Amount of loan disbursed till date is 1.7 Billon RM. Developed Neural Network Model on Keras which can target existing customers and entities that have higher propensity to buy products like Loan, Credit Card etc.
- Role
AI Solutions Architect
- Years of Experience
4.6 years
Skillsets
- OCR
- Flask
- Git
- GPT-4
- Hugging Face
- LangChain
- LLAMA
- Llava
- LoRA
- MLFlow
- FastAPI
- OpenCV
- rag
- Rnn
- T5
- TensorFlow
- Transformers
- Tree ensembles
- ViT
- Yolo
- Blip-2
- PyTorch - 3 Years
- Python
- PyTorch
- Keras
- PySpark
- R
- SQL
- AWS
- Bash
- Python - 3 Years
- CI/CD
- CLIP
- Cnn
- Dataiku
- Detr
- Dinov2
- Docker
- FAISS