Works for Data Science team in supporting different Business departments to analyse and understand their requirements through extensive data exploration phases.
Bridging the Gap Between Tech and Business: Translating ambiguous business problems into concrete mathematical frameworks, while managing expectations regarding advanced AI/Deep Learning capabilities and production timelines.
Work on POC and Pilot Projects to showcase the benefits of Advanced Analytics and Big Data Technologies to Businesses.
Use Analytical tools; like Kubeflow, Jupyter, SAS, TDWM, KXEN, R, Watson Studio, Python, R etc., to deliver the required analytics solutions.
Lead cross-functional initiatives by partnering with business units to translate complex business objectives into scalable advanced analytics and AI/ML roadmaps.
Translate complex algorithmic outcomes into actionable business strategies, presenting high-impact insights and ROI metrics to senior leadership and executive stakeholder...