Data scientist

Experience creating and using machine learning algorithms and statistics: regression, clustering, decision trees, neural networks, etc.
Strong understanding of supervised & unsupervised Client Techniques.
Experience statistical computer languages: R, Python etc.,
Basic knowledge tfetch data from Database like SQL or any cloud resource name it AWS / ADLS
Basic knowledge on any Visualization tools like Power BI, Tableau etc.,
Doing ad-hoc analysis and presenting results in a clear manner.
Experience working with and creating data architectures.
Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership.
Should be proactive in driving large analytic projects and programs tcompletion.
Explore tbig data machine learning models
Worked with client projects.