KEERTHIKA K

KEERTHIKA K

Data scientist
India
Tamil, English

نبذة عني

Data Science and Artificial Intelligence professional with a strong foundation in Python, SQL, and data analysis. Skilled in writing SQL queries, data cleaning, visualization, and exploratory data analysis using tools su…

الخبرة

Python Developer | Data Science | Artificial Intelligence

Company Name with Location

المشاريع

CIFAR-10 Classification using CNN

keerthika · https://github.com/keerthika22-th
المدة : 04-Aug-2025 - 08-Sep-2025

This project demonstrates an image classification task using the CIFAR-10 dataset. I have compared a standard Artificial Neural Network (ANN) with a Convolutional Neural Network (CNN) to showcase the superiority of CNNs in handling spatial data (images).​🚀 Overview​The goal is to classify 32 \times 32 pixel color images into 10 distinct classes:​Airplane, Automobile, Bird, Cat, Deer, Dog, Frog, Horse, Ship, Truck.​🏗️ Model Architectures​1. Artificial Neural Network (ANN)​A simple multi-layer perceptron that flattens the input image.​Layers: Input (Flatten) -> Dense (3000, ReLU) -> Dense (1000, ReLU) -> Output (10, Sigmoid).​Observation: High memory usage and lower accuracy compared to CNN.​2. Convolutional Neural Network (CNN)​A specialized deep learning model for image processing.​Layers: Conv2D -> MaxPooling -> Conv2D -> MaxPooling -> Flatten -> Dense -> Output.​🛠️ Tech Stack​Language: Python​Libraries: TensorFlow, Keras, Matplotlib, NumPy​Dataset: CIFAR-10 (via Keras datasets)​📊 Key Results​Normalization: Pixel values were scaled from [0, 255] to [0, 1] to improve model convergence.​Performance: The CNN model significantly outperformed the ANN by extracting spatial features through convolution filters.📋 How to Run​Clone the repository.​Install dependencies: pip install tensorflow matplotlib numpy.​Run the notebook or python script to train and evaluate the models.

الشهادات

Artificial intelligence programmer

Cultus Education and Technology Services Pvt. Ltd · Chennai, India · 2026

المهارات

بايثون (لغة برمجة) لغة الاستعلامات الهيكلية (SQL) دقة الاتصال كيراس نومباي (مكتبة لغة Python) إدارة الوقت صحة البيانات تينسور فلو المحولات EDA (Exploratory Data Analysis) Feature Engineering Data Cleaning Model evaluation metrics Recall F1-score ROC-AUC Pandas Matplotlib Seaborn Regression Classification Clustering CNN (Convolutional Neural Networks) ANN (Artificial Neural Networks) NLP (Natural Language Processing) Text Classification Sentiment Analysis Tokenization Jupyter Notebook Google Colab VS Code Excel (Pivot Tables Forecasting) Git/GitHub Problem-Solving Critical Thinking Team Collaboration Attention to Detail MySQL SQL Server Model Evaluation Metrics Excel Pivot Tables Forecasting Git GitHub Scikit-learn AdaBoost Gradient Boosting XGBoost Decision Tree NLTK CountVectorizer
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