Meet Dabhi
@meetdabhi
Aspiring biomedical engineer with expertise in data analysis and Python.
What I'm looking for
I am a rapidly learning and deeply thinking biomedical engineer, passionate about solving real-world problems through technology. My journey has led me to develop end-to-end systems that leverage Python and various data analysis libraries, including scikit-learn and pandas. From disease classification models to biosignal analysis pipelines, I have honed my skills in building robust solutions that drive impactful insights.
During my education at L.D. College of Engineering, I achieved a CGPA of 9.34 while specializing in Biomedical Programming. My hands-on experience includes internships at the Center for Neuroscience in Bangalore, where I developed a Python pipeline for processing EOG signals. I have also worked on innovative projects like the Smart Pill Bottle and AI Dermatology Diagnoser, which have significantly improved medication adherence and skin condition classification accuracy.
Experience
Work history, roles, and key accomplishments
Research Intern
Center for Neuroscience, IISC Banglore
Developed a robust Python pipeline to process and analyze EOG signals, targeting blink and saccade detection from raw biosignals. Utilized NumPy, SciPy, Pandas, and Matplotlib to clean, filter, segment, and visualize multi-trial EOG data collected during eye-movement experiments.
Education
Degrees, certifications, and relevant coursework
L.D.College Of Engineering
Bachelor's in Biomedical Engineering, Biomedical Engineering
Grade: 9.34 CGPA
Studied Biomedical Engineering at L.D.College Of Engineering from 2021 to 2025. Achieved a CGPA of 9.34.
R.P.T.P Higher secondary school
Higher Secondary Certificate, General Studies
Grade: 92%
Completed Higher Secondary education at R.P.T.P Higher secondary school from 2020 to 2021. Achieved a percentage of 92.
Gnanyagna Vidyalaya
Secondary School Certificate, General Studies
Grade: 96.17%
Completed Secondary School education at Gnanyagna Vidyalaya from 2018 to 2019. Achieved a percentage of 96.17.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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