DataBytes-Organisation/DiscountMate_new
Apr 2025 – May 2025
2 Months active
Languages Used
CSVSQLPython
Technical Skills
Data AnalysisData CleaningData EngineeringData ManagementSQLData Preprocessing
martin-anju
PROFILE
Martin-anju
Anju Palakeel developed data quality and forecasting features for the DataBytes-Organisation/DiscountMate_new repository over a two-month period. She built a reproducible data cleaning pipeline using SQL and Python, targeting Coles and Woolworths datasets to remove duplicates, normalize prices, and handle missing values, which improved analytics readiness and data reliability. Anju also expanded synthetic data resources to support robust testing. In the following month, she implemented LSTM and ARIMA time series models for price prediction, focusing on data preprocessing and model training workflows with Keras and Statsmodels. Her work demonstrated depth in data engineering and machine learning model implementation for retail analytics.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
63,945
Activity Months2
Your Network
41 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for DataBytes-Organisation/DiscountMate_new. Delivered initial price forecasting capability by adding two time-series models (LSTM and ARIMA) using synthetic transaction data. Focused on data preprocessing, model implementation, and establishing an initial training setup to enable rapid experimentation and iteration.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for DataBytes-Organisation/DiscountMate_new. Delivered initial price forecasting capability by adding two time-series models (LSTM and ARIMA) using synthetic transaction data. Focused on data preprocessing, model implementation, and establishing an initial training setup to enable rapid experimentation and iteration.
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for DataBytes-Organisation/DiscountMate_new: Delivered data quality and testing capabilities by implementing a dedicated data cleaning pipeline for Coles/Woolworths data and expanding synthetic testing data resources. The work emphasizes business value through improved data reliability and accelerated analytics readiness.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for DataBytes-Organisation/DiscountMate_new: Delivered data quality and testing capabilities by implementing a dedicated data cleaning pipeline for Coles/Woolworths data and expanding synthetic testing data resources. The work emphasizes business value through improved data reliability and accelerated analytics readiness.
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPythonSQL
Technical Skills
Data AnalysisData CleaningData EngineeringData ManagementData PreprocessingDeep LearningKerasMachine LearningModel ImplementationPythonSQLStatsmodelsTensorFlowTime Series Analysis
Repositories Contributed To
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