Experienced in data science / machine learning lifecycle processes, methods, tools.
Medium to strong statistical understanding, ability to understand and infer model reports, feature importance, validation reports and advise domain/business SMEs and help to make right decisions on the modelling
Hands on programming experience in R for Data analysis, Statistical inferencing and data science modelling in R.
Experience in Hyper parameter tuning, model validation & evaluation frameworks and tools in R , Hyper parameter tuning,
Knowledge of other tools for ML, MLOps, Data Prep and languages (Python) will be a plus
10+ years of experience in data analysis, data science development and 3+ years in R eco system.