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Sentiment analysis + stock price prediction with Python tooling.
Flask + PythonTwitter-scraped sentiment dataLive data pipelines
Problem
Needed model-driven insights from noisy real-world data.
Approach
Built pipelines and models for sentiment and stock prediction.
Value
Demonstrated end-to-end ML modeling and evaluation skills.
Snapshot
Two applied ML builds from data ingestion to evaluation, focused on real-world signals.
Stack
- Python
- Flask
- Pandas
- Numpy
Role
- Data pipelines
- Modeling
- Evaluation
Outcomes
- Sentiment insights
- Stock prediction experiments
Build notes
- Twitter sentiment pipeline and dataset hygiene.
- Flask inference endpoints for quick demos.
- Feature engineering + evaluation metrics.
Roadmap
- Model monitoring
- Better data labeling
- Realtime dashboards
Want something similar built for your product?
I'll scope the path, then ship with reliability in mind.