About
Entry-level machine learning candidate with a B.E. in Computer Science and Engineering and hands-on project experience in Python, data science, deep learning, and NLP. Seeking an entry-level internship in Machine Learning, AI/ML, Data Science, or NLP.
Education
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2026
B.E. Computer Science and EngineeringTheni Kammavar Sangam College of TechnologyComputer Science and Engineering (CSE) · 2024 – 2026
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2023
Diploma in Electronics and Communication EngineeringGovernment Polytechnic College, KotturElectronics and Communication Engineering (ECE) · 2021 – 2023
Skills
Tools / apps / platforms
Projects
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Python, Scikit-learn, Pandas, Matplotlib, Seaborn, Streamlit
Segmented credit card customers into 4 groups using K-Means on spending and payment behaviour; chose k with the elbow method. Selected behavioural features, applied missing-value treatment and feature scaling, and built a Streamlit dashboard to predict a customer's segment.
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Python, Scikit-learn, Pandas, Seaborn, Joblib, Streamlit
Built a binary classification model to predict passenger satisfaction; performed data cleaning, EDA, outlier detection and a t-test, and compared 7 classification algorithms. Tuned a Random Forest classifier and built a Streamlit prediction app.
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Python, Scikit-learn, FastAPI, React, Render, Gemini API
Built an end-to-end used car price prediction application on about 10,000 records; performed data preprocessing and exploratory data analysis and compared 7 regression models. Selected Linear Regression as the final model after evaluating models with R² and MAE. Developed a FastAPI REST API and a React frontend, deployed the backend on Render and integrated Gemini API explanations of predictions.
Courses & certifications
- Data Science and AI Training · Boston Institute of Analytics · 2026