jeffreywallphd/AutoProphet
Nov 2024 – Dec 2024
2 Months active
Languages Used
Python
Technical Skills
BERTData AnalysisMachine LearningMatplotlibNatural Language ProcessingNumPy
karthikkumarcholleti
PROFILE
Karthikkumarcholleti
Developed and delivered two core features for the AutoProphet repository, focusing on AI-powered stock analysis and advanced data visualization. Built a Python-based workflow that leverages BERT and spaCy for natural language intent recognition, enabling users to query stock data conversationally. Enhanced the data pipeline by integrating Pandas and Plotly, supporting both static and interactive candlestick visualizations for richer trend analysis. Refactored data-fetching functions to improve flexibility and maintainability, laying a scalable foundation for future enhancements. Throughout the two-month period, the work emphasized robust feature delivery and model improvements, with no major bugs reported and a clear focus on engineering depth.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
5,256
Activity Months2
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Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for jeffreywallphd/AutoProphet focused on delivering richer stock data visualization capabilities and improving the data-to-visualization pipeline. The month delivered an end-to-end feature that enhances stock trend analysis and supports scalable visualization across static and interactive formats.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for jeffreywallphd/AutoProphet focused on delivering richer stock data visualization capabilities and improving the data-to-visualization pipeline. The month delivered an end-to-end feature that enhances stock trend analysis and supports scalable visualization across static and interactive formats.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered the AI-powered stock analysis bot feature within the AutoProphet repository. Implemented a Python-based data ingestion and query-handling workflow with NLP-driven intent recognition, using fine-tuned BERT models for intent, price type, and time period identification. Added visualization capabilities for stock comparisons and trends to enable quick, data-informed decision making. This work establishes a scalable foundation for natural language stock analysis and future feature expansions. No major bugs reported during this period; focus remained on feature delivery and model/data improvements. Commit noted: 5feaea3f1b37a82c378a9e731fa20f0c709e5267 (Added main code and fine tuned code with data set).
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered the AI-powered stock analysis bot feature within the AutoProphet repository. Implemented a Python-based data ingestion and query-handling workflow with NLP-driven intent recognition, using fine-tuned BERT models for intent, price type, and time period identification. Added visualization capabilities for stock comparisons and trends to enable quick, data-informed decision making. This work establishes a scalable foundation for natural language stock analysis and future feature expansions. No major bugs reported during this period; focus remained on feature delivery and model/data improvements. Commit noted: 5feaea3f1b37a82c378a9e731fa20f0c709e5267 (Added main code and fine tuned code with data set).
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
BERTData AnalysisData VisualizationFinancial AnalysisMachine LearningMatplotlibNatural Language ProcessingNumPyPandasPlotlyPythonSciPyScikit-learnStock Market AnalysisTransformers
Repositories Contributed To
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