I'm a Data Scientist, specialized in deriving value and creating impact for businesses using Data Science and Machine Learning Solutions, leveraging the enormous amount of data that we have available.
Some of the interesting problems, I've previously worked on:
- Developing machine learning solutions to prevent fraud attacks on Debit Cards.
- Identifying high risk merchants using Multi Armed Bandits (Epsilon Greedy Aproach).
- Developing a strategy to target potential customers for an Annuity product.
- Customer segmentation and Migration Strategy for a retail giant.
Languages and Frameworks: Python, SQL Server, SAS, Tensorflow, Flask
ML Tools Scikit-Learn, TensorFlow, XGBoost, Pandas, NumPy, General experience with cloud computing tools (AWS solutions for compute, storage, serverless functions)
Algorithms and Technqiues: Generalized Linear Models, Tree-based models: Decision Tree, Random Forests, Bagging, Boosting , Kernel-based models, Neural Networks: ANN, CNN
Also,