Who Am I?

I am Uneeb Ahmed, a results-driven Data & Business Analyst with over 8 years of experience in transforming complex datasets into clear, actionable strategies that improve business performance and operational efficiency.

My career spans logistics, finance, and technology, where I have delivered impactful projects such as KPI dashboards, predictive analytics models, and automated reporting systems.

With expertise in SQL, Power BI, Tableau, Python, Excel, and SAP, I specialize in data modeling, visualization, root cause analysis, and performance tracking. I bridge the gap between raw data and executive decision-making to deliver measurable business value.

Education

M.S. in Business Analytics Management

Avila University, Kansas City, MO — CGPA 4.0

Specialized in data management, mining, machine learning, and statistical analysis with strong communication skills.

2024 – Present

MBA in Logistics & Supply Chain Management

Institute of Business Management, Karachi — CGPA 3.44

Focused on supply chain analytics, logistics optimization, and inventory management using data-driven approaches.

2016 – 2019

Certifications

Certified Supply Chain Professional (CSCP) – APICSSkills Competence Certificate – Harvard ManageMentor ProgramProfessional Certificate in Anti-Bribery and Fraud

Technical Skills

SQL

Designing, querying, and optimizing relational databases for performance and accuracy.

Power BI

Building interactive dashboards, creating DAX measures, and enabling data-driven decision-making.

Python

Automating data workflows, performing statistical analysis, and building ML models with Pandas, NumPy, Scikit-learn.

SAP

Managing MM/SD modules, generating reports, and integrating analytics for business operations.

Excel

Advanced formulas, pivot tables, data cleaning, and creating dynamic reports.

Tableau

Designing dashboards and visual stories using calculated fields and parameters.

MS SQL Server

Managing large datasets with stored procedures, indexing, and performance tuning.

Data Modeling

Creating ERDs, normalizing data, and structuring schemas for scalable solutions.