Carnegie Mellon University | 16-Month Journey
This repository showcases my academic and professional growth during the Master's in Information Systems program at Carnegie Mellon University. It includes key courses, projects, and skills with a focus on real-world impact.
- Product Management: Market analysis, customer interviews, feature ideation.
- Machine Learning: Decision trees, regression, majority vote, and Q-learning.
- Technical Communication: Professional presentations and technical documentation.
- Economics & Statistics: Market analysis, data-driven decision-making.
- Distributed Systems: Full-stack development with modern tools (Java, MongoDB, Android).
- Cryptocurrency: Blockchain design, market research, and tokenomics.
- Programming: Advanced skills in Java, Python, and Android development.
| Semester | Course/Project | Skills Gained | Tangible Projects | Real-World Applications |
|---|---|---|---|---|
| Fall 2023 | Organizational Design & Implementation | Leadership, team structuring, change management. | Redesigned organizational workflows for efficiency. | Enhancing team productivity and managing change. |
| Fall 2023 | Statistics for IT Managers | Data analysis, hypothesis testing, statistical modeling. | Applied hypothesis testing on customer behavior data. | Predictive analytics for business strategy. |
| Fall 2023 | Economic Analysis | Market dynamics and economic principles. | Modeled supply and demand on pricing strategies. | Strategic decision-making for product positioning. |
| Fall 2023 | Object-Oriented Programming in Java | Java development, debugging, object-oriented design. | Built a mini inventory management system. | Programming scalable backend systems. |
| Fall 2023 | Database Management | Query optimization, schema design. | Designed relational databases for e-commerce. | Efficient database management for enterprise apps. |
| Fall 2023 | Writing for Information Systems Management | Technical communication for business audiences. | Prepared API documentation and executive reports. | Crafting clear, concise technical documentation. |
| Fall 2023 | Accounting & Financial Analytics | Financial modeling, budgeting, cost analysis. | Analyzed financial statements to assess organizational health. | Data-driven financial decision-making. |
| Spring 2024 | Distributed Systems | Scalable architecture, network protocols. | Built a task-tracking app with notifications. | Developing scalable systems for enterprise needs. |
| Spring 2024 | Machine Learning | Supervised learning, regression, decision trees. | Developed predictive models for consumer behavior analysis. | AI applications for personalized user experiences. |
| Spring 2024 | Digital Transformation | Strategic analysis, digital innovation, market entry. | Developed strategies for SaaS market entry. | Driving innovation in competitive markets. |
| Spring 2024 | Managing Disruptive Technologies | Understanding disruptive innovation. | Explored case studies on blockchain and AI. | Guiding businesses through technological change. |
| Spring 2024 | Decision Making Under Uncertainty | Risk analysis, probabilistic modeling. | Modeled scenarios for supply chain disruptions. | Improving decisions under uncertain conditions. |
| Summer 2024 | Cryptocurrency Research Project | Blockchain design, tokenomics, market strategies. | Designed a cryptocurrency for the gaming industry. | Monetizing gaming platforms with blockchain ecosystems. |
| Fall 2024 | Machine Learning Production | CV algorithms, scalable ML pipelines. | Developed a photo-tagging feature with computer vision. | Automated content tagging and personalized delivery. |
| Fall 2024 | Lean Entrepreneurship | Ideation, market validation, customer interviews. | Launched the "Expired" app prototype. | Turning ideas into actionable, market-ready products. |
| Fall 2024 | A/B Test, Design & Analysis | Experimentation, regression, causal analysis. | Conducted A/B tests to identify performance improvements. | Data-driven decision-making for product performance. |
| Fall 2024 | Information Systems Project (Capstone) | AI optimization, process improvement. | Optimized operations for Bath & Body Works (BBW). | Delivering AI-driven operational improvements. |
| Fall 2024 | Agile Methods | Scrum methodologies, iterative development. | Iterated on prototypes for "Expired." | Managing projects with agility and user-centered design. |
| Fall 2024 | Product Management Essentials | Core principles of product management. | Developed strategies for new product launches. | Guiding products from ideation to market success. |
Through this rigorous 16-month journey, I acquired a diverse and impactful skill set spanning technical, analytical, and leadership domains. My capstone project with Bath & Body Works (BBW) and A.T. Kearney exemplified my ability to deliver AI-driven operational efficiencies, leveraging machine learning and advanced analytics to optimize sourcing and streamline workflows. These projects provided hands-on experience in working with complex business challenges, producing measurable and sustainable improvements.
The program emphasized hands-on application of theories, from building scalable distributed systems and crafting AI-powered machine learning solutions to analyzing financial models and managing disruptive technologies. I designed and launched innovative projects such as the "Expired" app to reduce food waste and a photo-tagging tool using computer vision, showcasing the intersection of sustainability and technology.
Additionally, I honed product management capabilities by conducting market analyses, proposing product features for tools like Microsoft Copilot, and optimizing experimentation techniques with A/B testing. Each project deepened my understanding of bridging technical solutions with strategic business goals.
This experience has equipped me to lead in dynamic, tech-driven environments where innovation, collaboration, and data-driven insights shape impactful solutions. The program’s integration of technical expertise with practical execution has prepared me to drive meaningful change and deliver measurable results across industries.