Strong understanding of mathematical, statistical, and theoretical foundations of statistics and machine learning (ML), along with parametric and non-parametric models
Robust knowledge of advanced data mining, curating, processing, and transforming techniques
Knowledge of statistical techniques and ML methods for predictive modeling / classification of problems around clients, distribution, sales, client profiles, and segmentation
Ability to provide relevant and actionable recommendations / insights for businesses
Understanding of ML lifecycle, including feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop
Expertise in SAS Visual Analytics, Tableau, and Python
Expertise in Python / R / SAS
Experience with cloud computing infrastructure, such as AWS / Azure / GCP
Ability to develop, test, and deploy models on cloud / web Education and Experience
BE / B.Tech. / MBA / M.Stat. / M.Sc. or equivalent degree from a reputed institute
If interested kindly share your updated resume at ri***********r@ev********e.com
Keyskills: Predictive Modeling stastical modeling python Artificial Intelligence machine learning
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