Shubham Kamble

Data Science and Machine Learning graduate with internship experience in Python, Machine Learning, and Data Analysis. Skilled in developing predictive models, performing exploratory data analysis, and building AI solutions using Scikit-learn and TensorFlow. Seeking an entry-level Data Scientist or Machine Learning Engineer role where I can contribute analytical and problem-solving skills.

Data Science Intern - UniConverge Technologies

(2024-04 - 2024-06)

• Cleaned and preprocessed an image dataset containing 2,073 records using Python, Pandas, and NumPy, preparing high-quality data for deep learning workflows.
• Built and trained a Convolutional Neural Network (CNN) using Keras achieving 95% classification accuracy through Conv2D, MaxPooling, Dropout, and Dense layers.
• Performed exploratory data analysis (EDA) and developed visualizations using Matplotlib and Seaborn to uncover data patterns and support data-driven model development.

Python Intern - Z Combinator

(2024-12 - 2025-01)

• Developed Python scripts for automation and file handling.
• Debugged applications and improved program efficiency.
• Strengthened Python fundamentals through real-world assignments.

AI/ML Summer Intern - Sparks To Ideas

(2025-02 - 2025-03)

• Developed machine learning models for classification, clustering, and regression tasks using scikit-learn and Tensorflow.
• Processed and analyzed datasets using Python, Pandas, and Numpy, applying feature engineering and data processing techniques to improve model readiness.
• Evaluated and optimized model performance through cross-validation and hyperparameter tuning, and created dashboards to visualize model metrics and analytical insights.

Bachelor of Engineering - Computer Engineering - Savitribai Phule Pune University (2022 - 2026)