Amit Singh

Recent graduate with strong foundations in Data Science, Machine Learning, Generative AI, and Agentic AI systems. Skilled in developing end-to-end AI applications using Python, machine learning frameworks, LLMs, Retrieval-Augmented Generation (RAG), and AI agent architectures. Passionate about building intelligent solutions that automate workflows, generate insights, and solve real-world business problems.

• Developed a machine learning model to predict car resale prices using historical vehicle data and regression algorithms.
• Performed data preprocessing, feature engineering, and exploratory data analysis (EDA) to improve model performance.
• Implemented and compared Linear Regression, Decision Tree, and Random Forest Regressor models to identify the best-performing algorithm.
• Evaluated model accuracy using R² Score, Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) .
• Technologies: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter Notebook.

Image Identification Using CNN and ANN

• Designed and implemented a deep learning model for image classification.
• Built CNN architecture for automated feature extraction from images.
• Integrated ANN as the classification layer for predicting image categories.
• Preprocessed image datasets, trained the model, and validated performance.
• Technologies: Python, TensorFlow, Keras, OpenCV, NumPy, Matplotlib