DataBytes-Organisation/DiscountMate_new
Apr 2025 – May 2025
2 Months active
Languages Used
CSVJupyter NotebookPythonRSQL
Technical Skills
Data AnalysisData EngineeringSynthetic Data GenerationAlgorithm DevelopmentData CleaningData Manipulation
smit baldha
PROFILE
Smit Baldha
Over a two-month period, Smit Baldha developed and delivered three core features for the DataBytes-Organisation/DiscountMate_new repository, focusing on data-driven retail solutions. He created a large synthetic IGA supermarket dataset to enable privacy-conscious analytics and machine learning experiments, leveraging Python, R, and Pandas for data engineering and preprocessing. Smit also implemented a cart optimization system that helps users stay within budget and a smart substitution feature that recommends alternatives based on text similarity. His work included building robust data cleaning and synthetic data generation tooling, laying a foundation for scalable analytics, safer experimentation, and improved data quality across the platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
204,306
Activity Months2
Your Network
41 people
Work History
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 — DataBytes-Organisation/DiscountMate_new: Delivered customer-focused cart optimization and smart substitution features to improve checkout value and budget adherence, plus data cleaning and synthetic data tooling to strengthen data quality and testing. These efforts reduce friction at the point of purchase, support robust analytics, and lay groundwork for scalable experimentation.
2 Commits • 2 Features
May 1, 2025May 2025 — DataBytes-Organisation/DiscountMate_new: Delivered customer-focused cart optimization and smart substitution features to improve checkout value and budget adherence, plus data cleaning and synthetic data tooling to strengthen data quality and testing. These efforts reduce friction at the point of purchase, support robust analytics, and lay groundwork for scalable experimentation.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025Concise monthly summary for April 2025 focused on features delivered, major improvements, and business impact.
April 2025
1 Commits • 1 Features
Apr 1, 2025Concise monthly summary for April 2025 focused on features delivered, major improvements, and business impact.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookPythonRSQL
Technical Skills
Algorithm DevelopmentData AnalysisData CleaningData EngineeringData ManipulationData PreprocessingMachine LearningPandasPython ProgrammingRScikit-learnSynthetic Data Generationdplyrreadrstringr
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline