class PriyanshSaxena:
def __init__(self):
self.name = "Priyansh Saxena"
self.education = "IIITM Gwalior (B.Tech/M.Tech in Data Science)"
self.interests = ["Machine Learning", "LLMs", "Cloud Architecture", "MLOps"]
self.currently_learning = ["Advanced MLOps", "AWS", "NGINX"]
self.looking_for = "Collaborative Data Science Projects"
self.contact = "priyena.career@gmail.com"
self.open_source_contributions = ["krkn-chaos (by Red Hat)"]
def say_hi(self):
print("Thanks for visiting my profile! Let's connect and build something amazing together!")
me = PriyanshSaxena()
me.say_hi()
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| Project Name | Description | Technologies |
|---|---|---|
| LLM Integrated Excel Plotter | Intelligent Excel data analyzer that uses natural language processing to generate visualizations and insights from tabular data |
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| Anomaly Detection in IoT | Real-time anomaly detection system for IoT data streams using advanced statistical methods and machine learning algorithms |
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| SummarizeMe | Advanced text summarization tool that condenses long documents while preserving key information using transformer-based models |
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| Stock Sentinel | Stock price prediction application that combines technical analysis with sentiment analysis from news and social media |
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| Neural Network from Scratch | Implementation of neural networks from first principles, demonstrating deep understanding of backpropagation and optimization algorithms |
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