Muhammad Shoaib
@muhammadshoaib12
Aspiring Data Analyst passionate about actionable insights and visualizations.
What I'm looking for
I am an aspiring Data Analyst with a strong foundation in data science and a passion for transforming raw data into actionable insights. My educational journey at the University of Engineering & Technology has equipped me with essential skills in Python programming, data visualization, and statistical analysis. I thrive on solving complex problems and enjoy creating compelling dashboards that tell a story through data.
Throughout my academic career, I have successfully completed several projects that demonstrate my ability to apply analytical thinking to real-world business challenges. For instance, I developed an interactive Hospital Management Dashboard using Power BI and MySQL, which improved operational efficiency by visualizing critical hospital data. Additionally, my work on a Loan Detection System showcased my proficiency in machine learning, achieving an impressive 85% accuracy in predicting loan default risk.
Experience
Work history, roles, and key accomplishments
Hospital Management Dashboard
University of Engineering & Technology
Jul 2025 - Aug 2025 (1 month)
Developed interactive Patient, Doctor, and Finance dashboards using Power BI and MySQL to visualize hospital data, including patient records and financial metrics. Performed data integration and querying to enable insights, improving hospital operational efficiency and decision-making.
Urban Mobility Bike-Sharing Database
University of Engineering & Technology
Apr 2025 - Jun 2025 (2 months)
Designed and implemented a normalized relational database using MySQL to manage user registration, bike rentals, ride tracking, and payments for a scalable bike-sharing system. Developed SQL queries for bike availability, user ride history, and revenue analysis, optimizing data retrieval and supporting operational efficiency.
Loan Detection System for Financial Institution
University of Engineering & Technology
Dec 2024 - Feb 2025 (2 months)
Developed a machine learning model using Python, Pandas, and Scikit-learn to predict loan default risk, achieving 85% accuracy after data cleaning and exploratory data analysis (EDA). Visualized key trends and correlations using Matplotlib and Seaborn, enhancing stakeholder understanding of financial risk factors.
Education
Degrees, certifications, and relevant coursework
University of Engineering & Technology, Peshawar
Bachelor of Science, Data Science
2023 -
Currently pursuing a Bachelor of Science in Data Science, focusing on core concepts such as Python Programming, Data Structures & Algorithms, and Database Management. Gaining expertise in data visualization and statistical analysis to derive actionable insights.
Availability
Location
Authorized to work in
Job categories
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