Muhammad Hamza
Islamabad, Pakistan | - |-| linkedin.com/in/muhammad-hamza |
github.com/muhammad-hamza
EXECUTIVE SUMMARY
Project Manager | Data Science & Analytics Expert
Bridging technical innovation with operational excellence to drive $2M+ projects in manufacturing and technology. More
than 4 years of experience using Python, Power BI and predictive analytics to optimize workflows, reduce costs by 20%, and
deliver projects 10% faster. Key strengths include:
•AI-Driven Project Management: Reduced equipment downtime by 25% and procurement delays by 30% through supply
chain analytics.
•Process Automation: Designed Power BI dashboards to automate KPI reporting, eliminating 200+ hours of annual
manual work and enabling real-time data-driven decision making for stakeholders.
•Data-to-Business Impact: Translated raw data into actionable insights using machine learning (Python, TensorFlow),
achieving 85%+ accuracy in projects like: Customer Churn Prediction, Healthcare Risk Analysis
WORK EXPERIENCE
Project Manager
National Radio Telecommunication Corporation (NRTC)
Oct 2022 – Present
Haripur, Pakistan
• Successfully delivered 20+ high-impact projects on time and within budget, reducing delays
by 30% through Agile methodologies and risk mitigation.
• Built real-time Power BI dashboards to monitor KPIs, cutting manual reporting time by 40%.
• Pioneered the use of data science techniques in project workflows, enabling data-driven
decision-making and optimizing resource allocation with precision.
• Reduced project delays by 15% by applying supply chain analytics, including predictive models
for operations forecasting.
Project Engineer
National Radio Telecommunication Corporation (NRTC)
Aug 2021 – Sept 2022
Haripur, Pakistan
• Conducted time studies for new products, leading to a 15% reduction in production cycle time.
• Improved process accuracy and efficiency by 10% through data-driven analysis of production
performance.
• Assisted in procurement and vendor management, ensuring 100% on-time delivery for critical
components.
EDUCATION
Bahria University
Bachelor of Electrical Engineering (Electronics)
CERTIFICATIONS
• Six months of AI and Data Science Mentorship Program - Codanics —Oct,2024
• Data Analysis using Power BI - CampusX—Nov,2024
• Engineering Project Management: Initiating and Planning - Rice University—Feb,2022
• Managing Project Risks and Changes - University of California, Irvine— Feb,2022
• Oracle Primavera P6 Professional for Project Management - Udemy—Jan,2022
Islamabad, Pakistan
Aug 2017 – Aug 2021
PROJECTS
Jan 2025 – Mar 2025
Python, TensorFlow, Keras, Pandas
Heart Disease Prediction Using Neural Networks
Time Series Analysis
• Built a neural network model to predict heart disease risk with 85% accuracy, enabling
preventive care strategies
• Visualized insights using Matplotlib and Seaborn for data-driven healthcare decisions.
Oct 2024 – Nov 2024
Python, Scikit-learn, Power BI, Pandas
Customer Churn Prediction
Machine Learning
• Developed a churn prediction model using XG-Boost and Random Forest, achieving
88% accuracy.
• Identified key factors driving customer churn and recommended retention strategies,
reducing churn by 15%.
• Visualized insights using PowerBI, enabling stakeholders to make data-driven decisions.
April 2024 – June 2024
Python, SQL
A/B Testing Experiment
Business Analytics
• Executed A/B tests on 10,000+ users to optimize a marketing campaign, achieving a 15%
increase in conversion rates
• Applied statistical methods (p < 0.05 significance) to validate results and inform data-driven
decisions.
Stock Market Forecasting Using Time Series Analysis
Time Series Analysis
Jan 2024 – Mar 2024
Python, SARIMA, LSTM, Pandas, Power BI
• Built a time series forecasting model using SARIMA and LSTM to predict stock prices
with 80% precision.
• Created interactive dashboards in Power BI to display trends and forecasts, improving
decision-making for investors.
TECHNICAL EXPERTISE & COMPETENCIES
• Project Management & ERP: Agile, Scrum, Primavera P6, MS Project, Jira, Trello, SAP, MS Dynamics
• Data Analytics & Visualization: Supply Chain Analytics, Power BI, Tableau, Python, SQL, Advanced Excel (VBA, Macros)
• Machine Learning & AI: TensorFlow, Scikit-learn, Keras,Predictive Analytics,Forecasting
