Data Scientist with 2+ years of experience in building ML-intensive platform, overcoming complex architectural and scalability issues. Proficient in predictive modelling, data processing and data mining algorithms. Capable of creating, developing, testing and deploying diverse services to translate business into substantial deliverables.
Worked in a production environment in the cloud; Azure and Databricks (Cluster, mlflow).
Built NLP models to extract more value from the customer data we collect, which will help us know more about users and merchants.
Build and deployed predictive models using various tools to solve business problems and as well as for real time scoring.
Implemented Recommender Engine application. Implemented unsupervised clustering model of Py-Spark and sklearn.
Worked on model interpretability and make model more explainable by visualizing its output using SHAP and LIME.
Worked closely with customers to prepare correct data, build and deploy predictive models.
Worked on different Data Science Platform Alteryx, Rapid Miner Studio and Numtra itself.
Participated in Weekly meetings with executives and board members, provided information on progress.