anjana k r
@anjanakr
Data science professional specializing in healthcare AI applications.
What I'm looking for
I am a data science graduate with a strong foundation in statistical analysis and hands-on experience in developing innovative diagnostic tools for healthcare applications. My academic journey includes a Master of Science in Data Science from RMIT University, where I achieved a GPA of 3.6/4.0, and a student exchange program in Applied Statistics and Data Analytics at Aalto University in Finland.
During my internship at InflaMed, I developed an advanced chatbot for skin condition diagnosis, integrating image classification models and natural language processing techniques. My projects have focused on real-time data processing and predictive modeling, achieving high accuracy in user knowledge classification. I am passionate about leveraging AI to create user-friendly interfaces that enhance healthcare diagnostics.
Experience
Work history, roles, and key accomplishments
Data Science Intern
InflaMed
Jul 2024 - Jul 2024 (0 months)
As a Data Science Intern at InflaMed, I developed an advanced chatbot for skin condition diagnosis, integrating image classification models and NLP techniques. I implemented deep learning for image analysis and created a user-friendly web interface using Flask, collaborating on the end-to-end development of the AI diagnostic system.
Education
Degrees, certifications, and relevant coursework
RMIT University
Master of Science, Data Science
2023 - 2024
Grade: 3.6/4.0
Aalto University
Master of Science, Applied Statistics and Data Analytics
2022 - 2022
Grade: 3.2/4.0
Student exchange program focused on applied statistics and data analytics.
Amrita Vishwa Vidyapeetham
Master of Science, Applied Statistics and Data Analytics
2020 - 2022
Grade: 9.19/10.0
Completed a Master's degree in Applied Statistics and Data Analytics with a strong focus on statistical methods and data analysis.
Amrita Vishwa Vidyapeetham
Bachelor of Science, Mathematics
2017 - 2020
Grade: 8.83/10.0
Bachelor's degree in Mathematics emphasizing analytical and quantitative skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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