rclairer/Sebastes_ruberrimus_2025
Jan 2025 – Feb 2025
2 Months active
Languages Used
CSV
Technical Skills
Data CleaningData ManagementData WranglingData Entry
Fabio Prior Caltabellotta
PROFILE
Fabio Prior Caltabellotta
Over a two-month period, contributed to the rclairer/Sebastes_ruberrimus_2025 repository by building and refining CSV-based datasets to support fisheries data analysis. Delivered a historical sport catch dataset for Yelloweye RF, then simplified its schema by removing the area dimension and aggregating catch totals across years, streamlining cross-year analysis. In the following month, integrated IPHC biodata by establishing a structured ingestion pathway for iphc_biodata.csv, defining fields for biological and sampling information. Used data cleaning, data entry, and data management skills to ensure schema readiness for downstream analytics, while identifying and initiating resolution of data quality gaps in age-related fields.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
3,534
Activity Months2
Your Network
5 peopleWork History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — rclairer/Sebastes_ruberrimus_2025: Delivered IPHC Biodata CSV Integration and established the data ingestion pathway for IPHC biodata (iphc_biodata.csv). Implemented a structured schema covering sample code, fish number, species name, collection date, project code, data type, length, weight, sex, maturity, and age-related fields. The change is backed by commit 7973ecb224403cddfdb0149225b57901c64a4656 (Add files via upload). Identified data quality gaps: 97 samples missing 'best ages'; age reader work is in progress to resolve. No other major bug fixes this month, with the focus on enabling downstream analytics and reporting.
1 Commits • 1 Features
Feb 1, 2025February 2025 — rclairer/Sebastes_ruberrimus_2025: Delivered IPHC Biodata CSV Integration and established the data ingestion pathway for IPHC biodata (iphc_biodata.csv). Implemented a structured schema covering sample code, fish number, species name, collection date, project code, data type, length, weight, sex, maturity, and age-related fields. The change is backed by commit 7973ecb224403cddfdb0149225b57901c64a4656 (Add files via upload). Identified data quality gaps: 97 samples missing 'best ages'; age reader work is in progress to resolve. No other major bug fixes this month, with the focus on enabling downstream analytics and reporting.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on data engineering achievements and business value.
January 2025
2 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on data engineering achievements and business value.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSV
Technical Skills
Data CleaningData EntryData ManagementData Wrangling
Repositories Contributed To
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