To lead the development of a revolutionary artificial intelligence platform that will disrupt the financial industry and enhance customer experience, by collaborating with cross-functional teams and delivering on time, w…
To lead the development of a revolutionary artificial intelligence platform that will disrupt the financial industry and enhance customer experience, by collaborating with cross-functional teams and delivering on time, within budget, and with the highest quality standards. Driven Data Business Analyst ready to leverage business knowledge and project management strengths in streamlining business operations, drive cost saving and enhancing strategic process efficiency and optimization. Offers 4years of experience in data analysis, process optimization, and continuous improvement methodologies, using qualitative and quantitative methods to drive strategic decision-making and enhance operational efficiency.
Designed M&E systems and developed frameworks for multiple projects, enhancing project progress tracking and assessment.
Discovered a new storage and tracking method of live data and wrote and directed SOPs.
Implemented validation protocols, increasing accuracy and product quality by 20%.
Created automated reporting tools, reducing generation time by 30%.
Led the seamless integration of data pipelines from diverse sources, improving data accessibility by 40%.
Conducted training sessions, increasing team proficiency by 25%.
Developed an automated reporting tool and analyzed workflows to eliminate bottlenecks, boosting productivity by 15%.
Developed Power BI dashboards, enhancing decision-making speed by 25%.
Conducted root cause analysis and applied predictive maintenance analytics, reducing downtime by 20%.
Implemented inventory management solutions, cutting costs by 10%.
Automated data capturing and reporting with Python, saving 10 hours weekly.
Analyzed financial performance and recommended improvements.
Assisted in budgeting, forecasting, and financial modeling for accurate financial reporting.
Analyzed costs and proposed efficiency measures.
Aided in market research and data analysis.
Developed databases for tracking KPIs, providing real-time visibility into operations to aid strategic decision making.
Created dashboards to monitor key supply chain metrics, providing actionable insights for management.
Analyzed vendor performance data, contributing to onboarding of new suppliers.
• Designed M&E Systems: Developed frameworks for multiple projects, enhancing project progress tracking and assessment.
• SOP Creation: Discovered new storage and tracking method of live data, wrote and directed SOPs.
• Improved Data Quality: Implemented validation protocols, increasing accuracy and product quality by 20%.
• Enhanced Reporting: Created automated reporting tools, reducing generation time by 30%.
• Increased Efficiency: Led the seamless integration of data pipelines from diverse sources which improved data accessibility by 40%.
• Capacity Building: Conducted training sessions, increasing team proficiency by 25%.
• Boosted Productivity: Developed automated reporting tool, analyzed workflows to eliminate bottlenecks, boosting productivity by 15%.
• Real-time Insights: Developed Power BI dashboards, enhancing decision-making speed by 25%.
• Reduced Downtime: Conducted root cause analysis and applied predictive maintenance analytics, reducing downtime by 20%.
• Optimized Inventory: Implemented inventory management solutions, cutting costs by 10%.
• Streamlined Processes: Automated data capturing and reporting with Python, saving 10 hours weekly.
• Financial Analysis: Analyzed financial performance and recommended improvements.
• Budgeting & Forecasting: Assisted in budgeting, forecasting, and financial modeling for accurate financial reporting.
• Production Cost Analysis: Analyzed costs and proposed efficiency measures.
• Market Research: Aided in market research and data analysis.
Identified, reported, and resolved system/process issues, suggesting improvements.
Led initiatives increasing production efficiency by 20%, yielding significant cost savings.
Negotiated pricing and fees, reducing administration costs by 12%.
Applied predictive maintenance analytics, cutting machine downtime by 25%.
Collaborated with cross-functional teams to optimize inventory management strategies, reducing excess inventory levels by 25% while maintaining production schedules.
Enhanced stakeholder communication through data visualization.
Developed predictive models, reducing overproduction by 15%.
Ensured accuracy through rigorous data cleaning and validation.
Processed and cataloged received inventory data using Excel and proprietary SAP data entry, maintaining a 99% accuracy rate.
Supported ERP system implementation for smooth data migration.
Enhanced demand forecasting models, reducing export and import demurrage charges.
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