pravallika sandu
@pravallikasandu
I build machine learning and web applications with Python and React.
What I'm looking for
I built a hybrid CAN bus intrusion detection system at SDVLAB, GITAM, combining Autoencoder, Random Forest, and LSTM models on the Car-Hacking dataset.
During my Geospatial Data ML internship, I used Python pipelines to preprocess Kaggle geospatial data, engineer features, and evaluate Random Forest, CNN, and SVM classification models. I investigated model outputs and resolved processing issues to improve reliability.
I've also built a responsive online learning platform with React, JavaScript, HTML, and CSS, and I bring foundations in systems, networking, Linux, Windows, databases, and technical troubleshooting.
Experience
Work history, roles, and key accomplishments
Geospatial Data ML Intern
Kaggle
Nov 2024 - Mar 2025 (4 months)
Preprocessed Kaggle geospatial datasets using Python pipelines to clean raw data and prepare reliable input data. Performed feature engineering and experimented with Random Forest, CNN, and SVM classification models.
Education
Degrees, certifications, and relevant coursework
Gandhi Institute of Technology and Management (GITAM)
Bachelor of Technology, Computer Science Engineering
2022 -
Grade: 8.25/10
Pursuing a Bachelor of Technology in Computer Science Engineering with a CGPA of 8.25/10.
Narayana Junior College
Intermediate, MPC
2020 - 2022
Grade: 92%
Completed Intermediate in MPC with a percentage of 92%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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