Ability to translate business challenges into data-driven solutions by applying advanced analytics, statistical modeling, and machine learning techniques to uncover actionable insights.
Develop scalable data pipelines with SQL, Python, and R to extract and transform data from sources like Hadoop and GCP BigQuery.
Build interactive dashboards and visualizations using Tableau, QlikView, and QlikSense to present insights to non-technical stakeholders and drive informed decision-making.
Automate workflows and data processes using Alteryx and other tools to enhance the efficiency, accuracy, and consistency of analytical tasks.
Apply optimization techniques using CPLEX and statistical tools like MINITAB to improve operational performance and solve complex business problems.
Collaborate with teams to define metrics, translate business needs, and deliver insights that drive strategy.
Deploy machine learning models on cloud platforms such as GCP Vertex AI to enhance predictive analytics and drive AI innovation.
Explore new data sources and technologies to enhance data quality, accessibility, and analytical capabilities across the organization.
Document methodologies, workflows, and models to ensure transparency, reproducibility, and effective knowledge transfer within the team.
Stay ahead of emerging trends in data science, cloud computing, and AI to introduce innovative ideas and techniques.
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