Sales Forecasting Model (3MTT)
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Summary
Developed a robust sales forecasting model using Python to predict future sales trends based on historical data, providing critical insights for strategic planning.
Proficient Data Analyst with a strong foundation in customer service, accounting, and business operations, leveraging expertise in Excel, SQL, and Python for data cleaning, visualization, and analysis. Demonstrated ability to improve operational efficiency, maintain accurate records, and deliver data-driven insights, as evidenced by developing a sales forecasting model and resolving complex data quality challenges. Seeking to apply analytical acumen and problem-solving skills to drive strategic decision-making and enhance business performance in a dynamic organization.
Front Desk Personnel / Cashier
Delta State, Delta State, Nigeria
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Summary
Managed comprehensive front desk operations, including customer service, scheduling, and payment processing, while leveraging data tools to enhance efficiency and decision-making.
Highlights
Managed customer check-ins, appointment scheduling, and payment processing for a high-volume operation, ensuring smooth daily workflows and customer satisfaction.
Utilized Excel to meticulously track transactions, generate weekly operational reports, and monitor inventory levels, improving data accuracy and reporting efficiency.
Applied SQL to efficiently maintain and query customer databases, ensuring rapid data retrieval and supporting operational decision-making.
Developed and implemented Excel dashboards to visualize customer flow patterns, leading to optimized staffing decisions and improved service delivery.
Handled all payment transactions (cash, card, mobile) with 100% reconciliation accuracy at shift close, mitigating financial discrepancies and ensuring robust accountability.
Proposed and advocated for data-informed solutions to identified service bottlenecks, contributing to a 15% reduction in customer wait times and significantly enhancing overall customer experience.
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B.Sc in View
Business Administration
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Certificate/Diploma
Account Education
Excel (Pivot Tables, Charts), SQL, Python (Pandas, NumPy, Matplotlib), Microsoft Office, Data Cleaning, Data Visualization, Data Analysis, Linear Regression, Predictive Modeling.
Communication, Problem-Solving, Customer Service, Team Collaboration, Data-Driven Decision Making, Record Keeping, Operational Efficiency.
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Summary
Developed a robust sales forecasting model using Python to predict future sales trends based on historical data, providing critical insights for strategic planning.
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Summary
Undertook a challenging data cleaning project to resolve inconsistencies and missing values within a complex dataset, significantly enhancing data quality for reliable analysis.