A self-driven and enthusiastic Python developer with expertise in machine learning and Deep Learning. Skilled in TensorFlow, Scikit-learn, Keras, and OpenCV. Proficient in Pandas, NumPy, and Matplotlib for data visualization. Strong foundation in PyTorch and Keras for deep learning. Back-end development using Flask and familiarity with SQL databases. Experienced in Git, web scraping, API integration, and data extraction. Knowledgeable in Docker for ML model deployment. Curious and dedicated learner.
Successfully completed the projects on :
- Recognition Of Objects with Convolutional Neural Network
- Hand Written Digit Classification with CNN
- News Classification using NLP
Developed beginner-level understanding of data science, machine learning, and deep learning. Worked with various models, gaining insights into their functionality. Executed projects and achieved high model accuracy. Ready to apply knowledge and contribute to impactful data-driven solutions.
Some of the Projects include:
- Covid-19 Literature Clustering
- Chest X-Ray Image Classification
- Diabetes Prediction using SVM
- edX Verified Certificate for Python Basics for Data Science
- Neural Networks and Deep Learning by Coursera (DeepLearning.AI)
- Structuring Machine Learning Projects by Coursera (DeepLearning.AI)
- Improving Deep Neural Networks: Hyperparameter Tuning,
Regularization and Optimization by Coursera(DeepLearning.AI)
- Convolutional Neural Networks by Deep Leaning.AI