Prajwal Gm Patil
@prajwalgmpatil
Entry-level data scientist skilled in ML, Python, and geospatial analysis.
What I'm looking for
I am an entry-level data professional with a B.Tech in Electronics and Computers Engineering and hands-on experience in machine learning, data cleaning, exploratory analysis, and geospatial studies. I have built and evaluated classification models, worked with satellite imagery in Google Earth Engine, and produced actionable visualizations using Power BI and GIS tools.
My academic projects include a Liver Disease Prediction model achieving 85% accuracy with Random Forest, land-use classification at scale using Google Earth Engine, and a multi-temporal NDVI analysis of Bangalore that won a Best Paper Award at IEEE MysuruCon 2024. I am comfortable with Python, scikit-learn, pandas, NumPy, SQL, and Jupyter-based workflows.
I am passionate about turning raw data into insights and seek entry-level opportunities in Bangalore where I can contribute to ML/AI projects, expand my deep learning and big-data skills, and collaborate on impactful, data-driven solutions.
Experience
Work history, roles, and key accomplishments
Data Scientist Intern
Self Employed
Developed and evaluated machine learning models for medical and geospatial projects, achieving 85% accuracy on a liver disease classifier and producing large-scale land-use classification maps using Random Forest and Google Earth Engine.
Education
Degrees, certifications, and relevant coursework
Reva University
Bachelor of Technology, Electronics and Computer Engineering
2021 -
Grade: 7.8/10
Activities and societies: Led university cricket team (captain, 2 years); conducted remote sensing and GIS research resulting in Best Paper Award at IEEE MysuruCon 2024.
Pursuing B.Tech in Electronics and Computer Engineering with coursework and projects in machine learning, remote sensing, and data analysis; achieved CGPA 7.8/10.
SRS PU College
Pre-University Certificate, Pre-University (Science)
2019 - 2021
Completed pre-university education preparing for undergraduate studies with foundational coursework in science and mathematics.
Vidya Vikas Vidya Samsthe
SSLC, Secondary Education
Completed SSLC secondary education certificate prior to pre-university studies.
Availability
Location
Authorized to work in
Job categories
Skills
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