Hi, I'm Danyal Rehan, passionate about leveraging data-driven insights and cloud technologies to solve complex problems. With a background in analytics and AI, I specialize in cloud computing, data architecture, and security, constantly exploring new ways to optimize and secure digital infrastructures.
I am continuously expanding my expertise in networking, cloud security, and AI-driven analytics. My goal is to architect scalable, resilient, and secure cloud environments while utilizing data analytics to drive impactful decisions.
Check out my projects section, and let's connect to discuss cloud, AI, and data-driven innovation! 🚀
- Led EC2 instance setup, configuration, and SSH client connection, in the Stock Market Real-Time Data Analysis workshop.
- Orchestrated an event featuring expert guest speakers on the integration of Artificial Intelligence into AWS, highlighting the capabilities of the SageMaker service
- Addressed and responded to member inquiries about AWS services and certifications, providing guidance and support.
- Reduced risks of smart contracts by 90% through identification and labeling of vulnerabilities, enhancing the security protocols.
- Delivered 800+ smart contract evaluations through the use of frequency and correlation analysis using 32 risk tags.
- Streamlined department wide analysis by utilizing machine learning to reveal critical patterns in 800+ smart contracts.
- Enhanced decision-making of the department by leveraging MS Excel and Python for data analysis, manipulation, and visualization.
Relevant Coursework:
Data Science for Business Applications, Applied Artificial Intelligence/Machine Learning, Database Fundamentals for Analytics, Business Analytics, Object-Oriented Programming with Python, Programming Fundamentals, Quantitative Business Analysis, Statistical Methods for Decision Making, Information Technology for Business, Intro to Engineering and Computer Science, Macroeconomics, Microeconomincs, Business Communication
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Developed a restaurant ordering chatbot using Amazon Lex, Lambda, S3, CloudWatch, and IAM, integrating it into a self-built static website for streamlined menu access and order processing.
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Used Python and web scraping to extract Tesla and GameStop stock and revenue data, visualizing trends to assess investment potential.
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Conducted cluster analysis on a smart contract dataset in Python to identify similar risk profiles using pandas, NumPy, Matplotlib, Seaborn, and SciPy.
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Create a visual representation of a correlation matrix to highlight potential relationships between different risks within a dataset of smart contracts.
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Document the occurrence rates of each risk tag across the dataset, providing a clear quantification of the most prevalent vulnerabilities.
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Deploying a high-availability WordPress website with an external Amazon RDS database to Elastic Beanstalk.
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Ranked 1st in a national team competition for designing a network implementation strategy featuring cloud integration, redundancy, networking, hardware, and scalability enhancements.
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