Hassaan Ahmed | Portfolio

About Me

I am an analytics professional with a strong foundation in economics, finance, bussiness analytics and data-driven research. I am passionate about applying quantitative methods and analytical tools to synthesize complex information, optimize processes, and deliver actionable business strategies.

Education

Master of Science in Business Analytics

Karachi School of Business & Leadership | 2025 – Present

Bachelor of Science in Economics & Finance

Bahria University Karachi Campus | 2020 – 2024 (CGPA: 3.68)

Experience

Undergraduate Research Assistant (Internship)

Research and Business Solution Center | Jan 2023 – March 2023

Conducted comprehensive research and applied data analysis techniques (regression analysis, t-tests, model building) using MS Excel, SPSS, and E-Views, increasing data manipulation efficiency by 15%.
Synthesized and critically evaluated academic literature from 50+ sources to inform research methodologies and project design.
Contributed to a 10% improvement in research proposal quality by aligning project design with current best practices.

Skills & Expertise

Python SQL MS Excel Power BI SPSS & EViews Financial Strategy (Budgeting & Forecasting) Agile Project Management Cross-functional Collaboration

Certifications

Data Science Bootcamp – Atomcamp (Dec 2024)
Getting Started with Power BI Desktop – Coursera (Nov 2023)
Introduction to Data Analysis using Microsoft Excel – Coursera (March 2023)
Developing Your Emotional Intelligence – LinkedIn Learning (Dec 2023)

Featured Projects

Machine Learning Demand Forecasting Model

Developed a probability-based classification model (Logistic Regression) to optimize retail operations and inventory planning. Transitioned the strategy from average-based heuristics to proactive, data-driven decision making for highly sparse transactional data.

View Project on GitHub →

AeroFit Treadmill Exploratory Data Analysis (EDA)

Analyzed customer demographics to identify the characteristics of target audiences for specific treadmill models. Extracted actionable business insights using Python (Pandas, Seaborn) to optimize product recommendations and marketing strategies.

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Retail Operations & Customer Analytics

Built an end-to-end SQL database simulation to analyze sales performance and inventory. Utilized advanced SQL techniques including window functions, CTEs, and dynamic segmentation to map customer behavior and high-frequency purchase patterns.

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Power BI: Business Performance & Analytics Dashboard

Designed an interactive, end-to-end Power BI dashboard to visualize key performance indicators and operational metrics. Utilized Power Query for data transformation and DAX for complex time-intelligence calculations, enabling stakeholders to make data-driven strategic decisions.

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Agentic AI: Scholarly Architect

Designed an AI agent pipeline to assist in academic research, citation validation, and literature review generation using advanced prompt engineering and API integrations.

View Project on GitHub →