I'm a junior data scientist, My expertise lies in using statistical analysis and machine learning techniques to solve complex business problems and drive data-driven decision making.
- Python
- Statistical Analysis
- Machine learning (supervised and unsupervised learning)
- Deep learning
- Data visualization and storytelling
- Computer Vision
- Linux
- Familiar with Backend Development (Django, Flask, RestART)
Here are some of my projects that showcase my skills and expertise:
implementation of an object localization and classification model, focusing on the task of identifying and locating objects within images. The dataset used for this project is from Kaggle's competition. The model achived an Accuracy over
Check out the repository for more information.
This project focuses on the development and implementation of a face recognition system using deep learning techniques.The dataset used for this project is from Kaggle's competition
Check out the repository for more information
This project showcases the classification of the CIFAR-10 dataset using three different neural network architectures: a Linear Model, an Artificial Neural Network (ANN), and a Convolutional Neural Network (CNN).The model achived an Top 3 Accuracy over
Check out the repository for more information.
This project focuses on classifying images of cats and dogs using Convolutional Neural Networks (CNNs) with PyTorch. The dataset used for this project is from Kaggle's Dogs vs Cats Redux competition.
Check out the repository for more information.
I'm always eager to connect with fellow data scientists and industry professionals. Feel free to connect with me on LinkedIn.