Ayotunde Omopariola

Spearheaded data-driven cost reduction initiatives, leading to a 15% reduction in operational expenses.
Developed and managed interactive dashboards in Tableau and Power BI, facilitating real-time executive decision-making.
Automated complex manual workflows, cutting reporting time by 30% and increasing productivity.
Conducted root-cause analysis, improving data integrity and accuracy by 20%.
Led cross-functional teams to develop predictive analytics models, enhancing forecasting accuracy.
Provided strategic recommendations to executive leadership, driving key business transformations.
Designed and implemented machine learning algorithms to predict equipment failures, reducing downtime by 25%.
Increased operational efficiency by 40% by integrating AI-driven data cleansing techniques.

● Spearheaded data-driven cost reduction initiatives, leading to a 15% reduction in operational expenses.
● Developed and managed interactive dashboards in Tableau and Power BI, facilitating real-time executive decision-making.
● Automated complex manual workflows, cutting reporting time by 30% and increasing productivity.
● Conducted root-cause analysis, improving data integrity and accuracy by 20%.
● Led cross-functional teams to develop predictive analytics models, enhancing forecasting accuracy.
● Provided strategic recommendations to executive leadership, driving key business transformations.
● Designed and implemented machine learning algorithms to predict equipment failures, reducing downtime by 25%.
● Increased operational efficiency by 40% by integrating AI-driven data cleansing techniques.

Sales & Market Analytics – Analyze customer trends and sales data to optimize product distribution and revenue growth.
Supply Chain Optimization – Improve inventory management and logistics, reducing operational costs and stock wastage.
Production & Quality Control – Utilize data modeling to ensure efficient production cycles and product consistency.
Financial Analytics – Track cost efficiencies, pricing strategies, and fraud detection.
Customer Insights – Conduct sentiment analysis and segmentation to enhance brand loyalty and targeted marketing.

● Sales & Market Analytics – Analyze customer trends and sales data to optimize product distribution and revenue growth.
● Supply Chain Optimization – Improve inventory management and logistics, reducing operational costs and stock wastage.
● Production & Quality Control – Utilize data modeling to ensure efficient production cycles and product consistency.
● Financial Analytics – Track cost efficiencies, pricing strategies, and fraud detection.
● Customer Insights – Conduct sentiment analysis and segmentation to enhance brand loyalty and targeted marketing.

Assisted in healthcare and patient data analysis, improving clinical decision-making.
Developed SQL queries to extract key insights, enhancing accessibility and reducing processing time.
Helped implement a new data management system, reducing errors by 25%.
Supported AI-driven analytics projects, contributing to improved data processing efficiencies.