Montreal β’ [email protected]
- Master's student in Applied Computer Science at Concordia University with a strong foundation in machine learning, data analysis, and data engineering.
- Previously worked as a Data Science Intern, where I helped drive business decisions by analyzing large-scale datasets and delivering actionable insights.
- Experienced in building scalable, production-ready projects ranging from real-time YOLOv3-based safety systems to automated data pipelines.
- Actively practicing Data Structures & Algorithms (DSA) in Java to strengthen problem-solving and system design skills.
- Passionate about solving real-world problems using AI and cloud technologies, while continuously learning and exploring new tools.
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Machine Learning-based Soil Fertility Analysis
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GAN-based Image Restoration Approach
Always happy to connect with curious and passionate people. Feel free to reach out β Iβd love to hear from you. π€β¨

