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ShamilAliyew

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active 2024-09-24 → 2026-09-06 (UTC) · 75 repositories

Complete coverage27,146 / 27,148 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-19 (UTC)
Events
736
Pushes
675
Pull requests
18
Issues
0
Reviews
0
Repositories
75

Activity over time

Daily event counts in the loaded window

Line chart, 713 days from 2024-09-24 to 2026-09-06. Pushes: 669 total, peak 57 in a day. Pull requests: 18 total, peak 3 in a day. Issues: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues

Pull requests and issues are under-captured in the later part of this window. GH Archive progressively stopped recording non-push events during 2026 — −95% or worse by the end of the window. A decline in those two series reflects the archive rather than this account. Pushes stay reliable throughout, so read them as the real signal. Data health has the measurements.

Repositories worked on

Ranked by contributions — pushes, PRs, issues, reviews and comments, so stars and forks do not inflate the list · top 50

RepositoryContributionsPushesPRsIssuesCommentsLast seen
ShamilAliyew/holbertonschool-higher_level_programming2542531002025-12-21
ShamilAliyew/holbertonschool-machine_learning2012010002026-07-23
ShamilAliyew/holbertonschool-shell52520002025-11-30
ShamilAliyew/construction-weather-risk-planner21154022026-05-09
ShamilAliyew/BankingManagementSystem18180002025-01-18
ShamilAliyew/holbertonschool-unix17170002025-11-25
KamalMusayev/banking-regulatory-intelligence-platform16151002026-07-15
ShamilAliyew/weather-intelligence-pipeline-team1475022026-04-27
ShamilAliyew/holbertonschool-python-coding12120002025-12-08
ShamilAliyew/holbertonschool-web_back_end12120002025-12-21
ShamilAliyew/ToDoApp10100002025-03-15
ShamilAliyew/holbertonschool-zero_day440002025-11-23
ShamilAliyew/m1-01-lab-ipython-python-basics440002026-02-18
ShamilAliyew/m2-08-lab-practical-data-pipelines440002026-03-14
ShamilAliyew/Web1330002024-12-26
ShamilAliyew/m6-02-lab-training-deep-networks220002026-05-14
ShamilAliyew/m4-06-lab-unsupervised-learning220002026-05-06
ShamilAliyew/m7-01-lab-ai-solution-architecture220002026-06-01
ShamilAliyew/m1-05-lab-pandas-foundations220002026-02-23
ShamilAliyew/m1-09-assessment220002026-02-28
ShamilAliyew/AI-Data-Analysis110002025-05-08
ShamilAliyew/PythonWeb110002025-03-18
ShamilAliyew/C_Bankin_System110002025-04-14
ShamilAliyew/data-pipeline-architecture110002026-04-04
Data-AI-IDDA/m1-05-lab-pandas-foundations101002026-02-23
ShamilAliyew/m9-02-lab-rag-system-architecture110002026-06-17
Data-AI-IDDA/m2-01-lab-data-sources-representation101002026-03-03
ShamilAliyew/m6-05-lab-sequence-models-transformers110002026-05-18
ShamilAliyew/m6-04-assessment110002026-05-18
ShamilAliyew/m1-03-lab-numpy-arrays-and-advanced-operations110002026-02-21
Data-AI-IDDA/m2-02-lab-data-models-storage-engines101002026-03-04
ShamilAliyew/ReguAz110002026-09-06
ShamilAliyew/m2-04-lab-etl-workflows-dataflow110002026-03-08
ShamilAliyew/m9-05-lab-llm-workflows-mcp110002026-06-22
ShamilAliyew/m4-07-lab-reinforcement-learning110002026-05-09
ShamilAliyew/m1-06-lab-loading-cleaning110002026-02-24
ShamilAliyew/DataSet_Competition_Holberton110002026-01-30
ShamilAliyew/m2-03-lab-data-formats-execution-engines110002026-03-05
ShamilAliyew/m4-10-assessment110002026-05-10
ShamilAliyew/m7-04-lab-fastapi-ml-serving110002026-06-03
ShamilAliyew/m3-12-lab-metric-uncertainty-model-comparison110002026-04-09
ShamilAliyew/m9-08-assessment110002026-06-27
ShamilAliyew/m6-08-lab-model-conversions-inferencing110002026-05-23
ShamilAliyew/m3-11-lab-statistical-story-dashboard110002026-04-11
ShamilAliyew/m4-04-lab-ensemble-methods110002026-04-16
Data-AI-IDDA/m4-10-assessment101002026-05-10
ShamilAliyew/m4-03-lab-classification110002026-04-15
ShamilAliyew/m2-02-lab-data-models-storage-engines110002026-03-04
ShamilAliyew/m6-03-lab-convolutional-neural-networks110002026-05-14
ShamilAliyew/m7-02-lab-mlops-lifecycle-reproducibility110002026-06-01

Works with

People who contribute to the same repositories, ranked by how many they share · automation excluded, or every account would appear to work with everyone

ContributorShared reposRepositories in common
KamalMusayev4
Data-AI-IDDA/m1-05-lab-pandas-foundationsKamalMusayev/banking-regulatory-intelligence-platformData-AI-IDDA/m2-02-lab-data-models-storage-enginesShamilAliyew/weather-intelligence-pipeline-team
apoplavsky3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-02-lab-data-models-storage-enginesData-AI-IDDA/m4-10-assessment
nazrinmammadzadeh3
Data-AI-IDDA/m1-02-lab-data-structures-functionsData-AI-IDDA/m2-01-lab-data-sources-representationData-AI-IDDA/m2-02-lab-data-models-storage-engines
wiajane3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-08-lab-practical-data-pipelinesData-AI-IDDA/m2-01-lab-data-sources-representation
AysuAnar2
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m1-02-lab-data-structures-functions
Jabrail-Atakishiyev2
Data-AI-IDDA/m2-01-lab-data-sources-representationData-AI-IDDA/m2-02-lab-data-models-storage-engines
Maqa33332
Data-AI-IDDA/m2-08-lab-practical-data-pipelinesData-AI-IDDA/m2-01-lab-data-sources-representation
Revan-shift2
Data-AI-IDDA/m1-02-lab-data-structures-functionsData-AI-IDDA/m2-02-lab-data-models-storage-engines
alexiiiiiiiii2
Data-AI-IDDA/m2-08-lab-practical-data-pipelinesData-AI-IDDA/m4-10-assessment
eliyevaulviye2
Data-AI-IDDA/m1-02-lab-data-structures-functionsData-AI-IDDA/m2-02-lab-data-models-storage-engines
esliehmedova2
Data-AI-IDDA/m2-08-lab-practical-data-pipelinesData-AI-IDDA/m1-02-lab-data-structures-functions
ibrahmsuleymanovdata2
Data-AI-IDDA/m1-02-lab-data-structures-functionsData-AI-IDDA/m2-02-lab-data-models-storage-engines
jannatsamadov2
ShamilAliyew/construction-weather-risk-plannerData-AI-IDDA/m2-08-lab-practical-data-pipelines
nargizaliyeva232
Data-AI-IDDA/m2-08-lab-practical-data-pipelinesShamilAliyew/weather-intelligence-pipeline-team
qoncheismayilova2
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-02-lab-data-models-storage-engines
raulibrahimov2
Data-AI-IDDA/m2-02-lab-data-models-storage-enginesData-AI-IDDA/m4-10-assessment
AliAgabalayev1
Data-AI-IDDA/m1-05-lab-pandas-foundations
ElvinNasirov1
Data-AI-IDDA/m2-02-lab-data-models-storage-engines
Manheim6661
Data-AI-IDDA/m1-02-lab-data-structures-functions
adilhasanov-glitch1
Data-AI-IDDA/m2-02-lab-data-models-storage-engines
aliyarlinurana1
Data-AI-IDDA/m1-05-lab-pandas-foundations
ilahes1
Data-AI-IDDA/m2-08-lab-practical-data-pipelines
khavar-analytics1
Data-AI-IDDA/m3-03-lab-bias-clinic-sampling-variability
orxannuriyev1
Data-AI-IDDA/m1-05-lab-pandas-foundations
royanasirova1
Data-AI-IDDA/m2-01-lab-data-sources-representation

Counts cover only the window loaded into ClickHouse and count events, not this account's lifetime totals on GitHub.