Environmental Data Monitoring
Analyzed and visualized environmental sensor data to track pollution levels and climate indicators.
Key Features:
- Time Series Analysis
- Anomaly Detection
- Geographic Visualization
A collection of my data science and machine learning adventures
Understanding the problem space and collecting the relevant data.
Cleaning, processing, and finding patterns in the data.
Building models and crafting visual narratives from the insights.
Implementing solutions and sharing the story the data tells.
Analyzed and visualized environmental sensor data to track pollution levels and climate indicators.
Advanced market analysis using statistical methods and predictive modeling.
Interactive visualization tool for temporal data analysis
Advanced market analysis using statistical methods and predictive modeling.
Interactive mapping solution for geospatial data analysis
Personalized recommendation engine using collaborative filtering and content-based approaches.
Computer vision application using deep learning
Full-stack analytics platform with real-time data processing and visualization.
Scalable data management platform with advanced analytics capabilities.
Real-time sentiment analysis for social media data