TCS-2021/Data-Mining-Project
Mar 2025 – Apr 2025
2 Months active
Languages Used
CSVPython
Technical Skills
Data AnalysisData WarehousingOLAPPandasStreamlit
HariniParam
PROFILE
Hariniparam
Harini worked on the TCS-2021/Data-Mining-Project, developing and enhancing a hierarchical drill-down and roll-up feature for interactive data analysis. Using Python, Pandas, and Streamlit, she enabled users to navigate through hierarchical dimensions in the data warehouse, aggregating measures dynamically for ad-hoc analytics. Her approach refined the hierarchy context and grouping logic, clearly displaying current levels and paths to improve data aggregation accuracy. Over two months, Harini focused on engineering reliable OLAP workflows that support faster, more trustworthy insights for business users. The work demonstrated depth in hierarchical data modeling and contributed to a more intuitive analytics experience without reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
308
Activity Months2
Your Network
20 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 – TCS-2021/Data-Mining-Project: Implemented Hierarchical Drill-Down and Roll-Up Enhancements to refine hierarchy context, improve grouping logic, and display current levels and path for clearer, more accurate data aggregation. No major bugs fixed this month. Impact: improved reliability of hierarchical analytics, faster insights for stakeholders, and better user experience. Technologies/skills demonstrated include hierarchical data modeling, grouping logic, and version-control discipline (commit 695bb9b8111bc09edf4aec250d3279842a220aa7).
1 Commits • 1 Features
Apr 1, 2025April 2025 – TCS-2021/Data-Mining-Project: Implemented Hierarchical Drill-Down and Roll-Up Enhancements to refine hierarchy context, improve grouping logic, and display current levels and path for clearer, more accurate data aggregation. No major bugs fixed this month. Impact: improved reliability of hierarchical analytics, faster insights for stakeholders, and better user experience. Technologies/skills demonstrated include hierarchical data modeling, grouping logic, and version-control discipline (commit 695bb9b8111bc09edf4aec250d3279842a220aa7).
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Key feature delivered: Drill-Down and Roll-Up for Data Analysis in TCS-2021/Data-Mining-Project. Enabled interactive navigation through hierarchical dimensions with aggregation of measures in the data warehouse, supporting dynamic data exploration and faster insights for business users. No critical bugs reported this month.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Key feature delivered: Drill-Down and Roll-Up for Data Analysis in TCS-2021/Data-Mining-Project. Enabled interactive navigation through hierarchical dimensions with aggregation of measures in the data warehouse, supporting dynamic data exploration and faster insights for business users. No critical bugs reported this month.
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPython
Technical Skills
Data AnalysisData WarehousingOLAPPandasStreamlit
Repositories Contributed To
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