Muhammad Zeeshan Hussain

As a final semester Master of Business Analytics student, I have gained hands-on experience in SQL, Python, Power BI, R Studio and SPSS systems. My passion lies in leveraging data to assist organizations in making key decisions. I am committed to continual personal and professional growth.

SQL Project on Warehouse Management and Decision Support Infrastructure

• Enhanced forecasting accuracy, minimized stock-outs, and optimized warehouse operations through innovative solutions.
• Implemented data-driven strategies for integrating and analyzing sales data from multiple stores.
• Evaluated and recommended scalable data warehousing architectures, emphasizing cloud-based solutions.
• Proposed Neo4j and MongoDB solutions for specific analytical needs; researched Semantic Web applications for enhanced data management and analysis.

SPSS Research Project

• Led team in applied research addressing business management challenges with a focus on ethics and management principles.
• Formulated research questions, conducted literature reviews, and designed a robust SPSS-based research methodology.
• Applied statistical analysis to interpret findings, leading to innovative solutions and strategic recommendations.
• Produced structured research report adhering to academic standards, integrating quantitative analysis and ethical considerations; implemented peer evaluation for equitable contributions and accountability.

Python Time Series Analytics Project

• Conducted scholarly literature review on time series methodologies, analyzing trends and identifying gaps across five journal articles.
• Executed three analytics projects from Kaggle and GitHub, applying advanced time series analysis techniques to real-world datasets.
• Collaborated in team evaluations of project relevance and complexity, documenting modifications and solutions.
• Produced concise reflection report integrating theoretical insights with practical experience in Python, Pandas, NumPy, and technical communication.

R Studio Data Analysis Project

• Led group project on sentiment analysis and prediction modeling using customer review datasets, employing tidyverse and tidytext packages for data exploration and visualization.
• Developed prediction models to forecast sentiment or user characteristics, presenting findings via a business report (.rmd) and video presentation to a marketing audience.
• Demonstrated proficiency in R programming, data mining, and machine learning techniques for informing strategic marketing decisions.

Project Management

• Developed a detailed project plan for implementing a data analytics initiative at "The Cage" using MS Project.
• Aligned project objectives with an 8-month timeline and a $1.5 million budget.
• Integrated risk management and communication strategies.
• Presented the plan in a 10-minute stakeholder presentation.
• Demonstrated proficiency in IT project management and strategic planning.

• Sports
• Theatre

• I have represented the Pakistan national under-19 football team
• I was awarded a fully funded scholarship for a language exchange program in Germany, a prestigious opportunity that significantly enhanced my language proficiency and cultural understanding.
• Sports Society President in High School and University