A passionate data science enthusiast. I'm deeply fascinated by the power of data to uncover insights, solve complex problems, and drive informed decision-making.
Hello! I'm Rachana Kafle I am currently pursuing a Master's in Data Science at Friedrich-Alexander-University Erlangen-Nürnberg. My academic and professional journey has equipped me with a solid foundation in data analysis, machine learning, deep learning and web development.
I'm always eager to collaborate on exciting data science, deep learning and large language models projects. Feel free to contact me here.
The Human Visual Attention App accurately identifies and analyzes users' main points of focus within visual scenes, tracking where and what they look at and how their attention shifts over time. I developed interactive interfaces showcasing the NeVa computer vision algorithm using the Gradio Framework.
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Time series forecasting and machine learning models for predicting and analyzing COVID-19 daily new cases and cumulative cases.
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Analyzed the correlation between the number of COVID-19 cases and deaths across countries to explore if higher infection rates correlate with increased mortality.
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Explored a range of machine learning techniques, including linear regression, logistic regression, sentiment analysis, and clustering algorithms, to uncover insights and patterns within complex data.
MORE DETAILSIn this system, teachers can create, post, edit, and delete assignments, as well as view and download student submissions. Students can access assignment files and submit their work directly to the teacher.
MORE DETAILSIn this system, administrators can log in to manage all aspects of user accounts, including developers, project managers, and partners.
MORE DETAILSThe Hangman game developed during the fellowship is a word-guessing challenge aimed at helping participants remember and recognize each other's names.
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