Translates business needs into data-driven solutions. Works on data interpretation, dashboards, and performance insights to guide decision-making.

Cleans, analyses, and visualizes datasets using tools like Excel, SQL, Power BI, Tableau, and Python to support business functions.

Studies market trends, customer behaviour, and campaign performance to help companies optimize marketing strategies and ROI.

Uses statistical models and financial data to evaluate investments, forecasts, budgets, and performance indicators.

Builds machine learning models, predictive algorithms, and advanced analytics solutions using Python, R, and large datasets.

Designs dashboards, BI reports, and performance metrics to help organizations make data-backed operational and strategic decisions.

Uses analytics to improve workflows, reduce costs, and enhance operational efficiency across business functions.

Advises companies using analytics-driven strategies for growth, transformation, and competitive advantage.

Works on technology-driven innovation, automation, and analytics adoption to modernize business operations.

Evaluates business risks using predictive modelling, statistical tools, and financial metrics to ensure stability and compliance.