🎯 Technical: Cloud computing (AWS, GCP), Data Preprocessing, Data Visualization, Machine Learning, Data Analytics, Statistics
🎯 Languages: C++, Java, Python, SQL, Git, HTML, CSS, JavaScript, MySQL, NoSQL, React, Nodejs
🎯 Libraries & Frameworks: sci-kit-learn, matplotlib, numpy, pandas, PyTorch, Keras, TensorFlow, beautiful soup, Flask, Django
🎯 Other Software/tools: AWS Cloud, Firebase, Firestore, Microsoft Office Suite, Git, Github, Gitlab, Google docs, Google sheets
🎯 Soft skills: Attention to detail, Self-motivated, Ability to learn quickly, Critical thinking ability, Team oriented, Strong communication and people skills, problem-solving mindset.
💻
ready to work
I have a passion for data analytics and software development
- Halifax
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08:07
(UTC -04:00) - in/shrav6
Highlights
- Pro
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aws-cloud-visualization-dashboard
aws-cloud-visualization-dashboard PublicVisualization dashboard - Cloud computing term project
Python
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movies-tvshows-recommendation-system
movies-tvshows-recommendation-system PublicEntertainment Recommendation System
Jupyter Notebook 1
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emotion-prediction-using-neuralnetworks-EEGwaves
emotion-prediction-using-neuralnetworks-EEGwaves PublicEmotion prediction using EEG waves and neural networks
Jupyter Notebook 2
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data-science-learning
data-science-learning PublicImplementing machine learning models
Jupyter Notebook
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