
Analytical data professional with experience working with large datasets to generate insights that support business strategy and customer solutions. Skilled in statistical modeling, predictive analytics, and data visualization to identify trends, forecast outcomes, and improve decision-making. Experienced in developing analytical models, monitoring performance metrics, and translating complex data into clear insights for stakeholders. Proficient in SQL, Python, and BI tools with a strong ability to analyze historical data, evaluate performance trends, and support data-driven product and marketing strategies.
• Mine and analyze large datasets using statistical and predictive techniques to identify patterns, trends, and opportunities for business improvement.
• Develop predictive and descriptive models to evaluate customer behavior, forecast demand, and support data-driven strategy development.
• Analyze historical performance data to identify growth opportunities and improve customer acquisition and retention strategies.
• Build and maintain dashboards using Power BI to track key performance metrics and communicate insights to leadership and business stakeholders.
• Perform ad hoc analyses to support marketing, product, and operational initiatives.
• Collaborate with cross-functional teams to ensure analytical models and data solutions are implemented effectively.
• Monitor model performance and analyze outcomes to identify potential risks and improvement opportunities.
• Consolidate and transform data from multiple sources to support reporting, forecasting, and operational decision-making.
• Translate complex analytical findings into clear reports and presentations for non-technical audiences.