Project-Based Learning II
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Summary
Built a foundational machine learning model using Python and Scikit-learn to analyze and predict trends in a dataset as part of coursework.
Highly motivated BSc Data Science & Artificial Intelligence student with a robust academic record, consistently maintaining a CGPA above 7.5. Possessing a strong foundation in Python, R, SQL, Machine Learning, and Data Structures, I am adept at leveraging data-driven insights for problem-solving. Eager to apply analytical and technical skills to contribute to innovative AI/ML projects in a professional environment.
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Bachelor of Science (BSc)
Data Science & Artificial Intelligence
Grade: 8.41 CGPA (Highest Semester Score)
Courses
Machine Learning and Deep Learning
Data Structures and Algorithms
Statistical Analysis and Probability
Database Management Systems
Artificial Intelligence and Neural Networks
Big Data Analytics
Natural Language Processing (NLP)
Computer Vision
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Higher Secondary Certificate (HSC)
Science
Grade: 67.00%
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Secondary School Certificate (SSC)
General Studies
Grade: 69.20%
Python, R Programming, SQL.
Supervised Learning, Unsupervised Learning, Regression, Classification, Deep Learning, Scikit-learn, TensorFlow.
Pandas, NumPy, Matplotlib, Seaborn, Statistical Analysis, Hypothesis Testing, Big Data Analytics.
ChatGPT, GitHub Copilot, Artificial Intelligence, Natural Language Processing (NLP), Computer Vision.
Data Structures, Algorithms, MySQL, MongoDB, Database Management Systems.
Problem-Solving, Analytical Thinking, Teamwork & Collaboration, Adaptability.
Advancements in AI tools and technologies, Contributing to open-source projects on GitHub, Online courses in Data Science and AI.
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Summary
Built a foundational machine learning model using Python and Scikit-learn to analyze and predict trends in a dataset as part of coursework.
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Summary
Explored AI algorithms and their applications through hands-on assignments.
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Summary
Designed and implemented data structures to optimize data handling in Python.