DataBytes-Organisation/DiscountMate_new
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
ARIMA ModelingData CleaningData PreprocessingData VisualizationDeep LearningDocumentation
RUTIK TANK
PROFILE
Rutik Tank
During December 2024, S222448467 developed end-to-end time series forecasting capabilities for the DiscountMate_new repository, focusing on price prediction to support business pricing decisions. They implemented both ARIMA and LSTM models using Python, leveraging libraries such as Pandas and TensorFlow for data cleaning, preprocessing, model training, evaluation, and persistence. Their work included comprehensive documentation and a comparative analysis of ARIMA versus LSTM approaches, enabling informed model selection for future deployments. By establishing reproducible artifacts and clear documentation, S222448467 facilitated cross-team collaboration and streamlined future integration, demonstrating depth in time series analysis and a methodical approach to machine learning engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
7,244
Activity Months1
Your Network
129 people
Work History
December 2024
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for DataBytes-Organisation/DiscountMate_new: Focused on delivering end-to-end time series forecasting capabilities and preparing for deployment. No major production bugs were reported this month; efforts centered on feature development and comprehensive documentation to accelerate business value realization for pricing decisions.
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for DataBytes-Organisation/DiscountMate_new: Focused on delivering end-to-end time series forecasting capabilities and preparing for deployment. No major production bugs were reported this month; efforts centered on feature development and comprehensive documentation to accelerate business value realization for pricing decisions.
December 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
ARIMA ModelingData CleaningData PreprocessingData VisualizationDeep LearningDocumentationFeature EngineeringLSTMMachine LearningMatplotlibNumPyPandasPythonScikit-learnSeaborn
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