Felix Apiyu | Business Analytics Professional | Supply Chain & Operations Analytics | Tableau | Power BI | SQL | Python

Felix Apiyu

Based in High Point, NC, USA

About

I am a business analytics and fulfillment operations professional with more than four years of experience supporting production reporting, order quality, inventory accuracy, and process improvement in a high-volume distribution environment. In my current role at Ralph Lauren, I analyze operational and quality information, investigate order and SKU discrepancies, prepare performance reports, and collaborate with cross-functional teams to improve execution. My work has contributed to a 15% improvement in order-processing speed, a 20% reduction in defects, 99% on-time delivery, and approximately $200,000 in annual rework and return cost avoidance. I use Power BI, Excel, SQL, Python, ERP/WMS data, and forecasting methods to transform operational data into actionable business recommendations.

Skills

Projects

Supply Chain Exception Manager

A Streamlit-based supply chain decision-support application that analyzes order and inventory data to identify operational exceptions, prioritize risk, estimate value at risk, assign ownership, track resolution, and monitor SLA performance.

Retail Operations & Profitability Analytics Dashboard (Power BI)

Designed and developed a multi-page Power BI dashboard to analyze retail financial performance, profitability, operations, and customer behavior. Leveraged Power Query, DAX, data modeling, and interactive visualizations to create executive-level dashboards featuring dynamic KPIs, trend analysis ...

Retail Operations & Profitability Analytics (Tableau)

Built an interactive Tableau dashboard to analyze revenue, profit, order outcomes, delivery efficiency, and product performance from 2019–2022. Identified growth trends, fulfillment bottlenecks, low completion rates, and profit concentration to support operational improvement recommendations.

Forecast Accuracy & Demand Planning Dashboard — Excel/Python

Built an interactive Excel dashboard to compare actual and forecasted demand. Tracked MAPE, WAPE, RMSE, MAE, forecast bias, and revenue at risk. Added PivotTables and slicers for analysis by date, store, product, and category. Enabled planners to identify forecast errors, improve inventory decisions

Data Analysis & Operations Reporting for a Retail Company

Analyzed and visualized year-on-year sales, and fulfillment data for a retail operation company to identify growth opportunities, optimize stock levels, and improve decision-making across merchandising and supply chain teams.

Experience

August 2022

Fulfillment Operations Quality Control Processor, Ralph Lauren Corporation | High Point, NC

Analyze production, order, inventory and quality data using Excel, ERP/WMS. Prepare hourly and recurring performance reports for managers and operational stakeholders. Investigate incorrect SKUs, incomplete orders, defects, packaging problems, and aging orders. Supported improvements that increased order-processing speed by 15%, reduced defects by 20%, and improved operational efficiency by 10%. Contributed to 99% on-time delivery and approximately $200,000 in annual rework and return cost avoidance.

Education

2024

Inventory Management, UC Irvine/Coursera

Expected December 2026

M.S. Business Analytics, UNC Greensboro

My coursework focuses on business analytics, data visualization, project management, artificial intelligence, and data-driven decision-making. Through this program, I am developing practical skills in analyzing complex datasets, building interactive dashboards, interpreting business trends, and translating data insights into actionable business recommendations. This education supports my career interest in Business Intelligence, Data Analytics, Operations Analytics, Inventory Analytics, and Demand Planning, while strengthening my technical experience with tools such as Tableau, Power BI, Excel, SQL, and Python.

2023

MBA, Information Technology Management, Amity University

My MBA in Information Technology Management enabled me to excel at the critical intersection of business and IT. The program equipped me with extensive knowledge and skills on how to design IT solutions that align with business objectives. The program enhanced my insight into business operations by demonstrating how information technology integrates with different functions.

2015

Bachelor’s in Business Management, University of Cape Coast

2024

Google Business Intelligence Professional Certificate

Gained proficiency in using Google Cloud tools to manage and analyze data at scale for business intelligence purposes. Acquired hands-on experience with Google BigQuery for large-scale data analysis and optimization. Applied best practices to clean, prepare, and transform raw data, ensuring high quality datasets for analysis and reporting. Developed and shared actionable reports and dashboards with stakeholders to drive business outcomes

2024

Data Analytics Certificate, Masterschool

Participated in Masterschool's tech training program, designed by industry leaders to train talented students using real-world problems Solved multiple business cases using different analytical techniques. Trained with SQL (window functions/multiple joins/views and CTEs), and Excel (Vlookup, Pivot tables, visualizations)