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royanasirova

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active 2025-11-02 → 2026-07-03 (UTC) · 56 repositories

Complete coverage27,171 / 27,173 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-20 (UTC)
Events
90
Pushes
56
Pull requests
19
Issues
0
Reviews
0
Repositories
56

Activity over time

Daily event counts in the loaded window

Line chart, 244 days from 2025-11-02 to 2026-07-03. Pushes: 56 total, peak 5 in a day. Pull requests: 19 total, peak 2 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
ElvinNasirov/m5-project-weather-pipeline13112002026-04-25
ElvinNasirov/ClimaFitAI1394002026-05-02
royanasirova/git-practice220002026-02-12
royanasirova/Netflix-Dashboard220002025-11-25
area42-ai/AREA-42-Final-project110002026-06-29
royanasirova/titanic-model110002025-11-25
Data-AI-IDDA/m3-09-lab-feature-relationship-diagnostics101002026-04-08
Data-AI-IDDA/m3-10-lab-group-effects-variance-explained101002026-04-08
royanasirova/m3-13-assessment110002026-04-12
royanasirova/m6-08-lab-model-conversions-inferencing110002026-05-29
royanasirova/m3-07-lab-chi-square-power-planning110002026-04-04
Data-AI-IDDA/m4-04-lab-ensemble-methods101002026-04-18
royanasirova/m1-01-lab-ipython-python-basics-rn110002026-02-18
royanasirova/m3-06-lab-t-tests-assumption-checks110002026-04-04
royanasirova/m3-10-lab-group-effects-variance-explained110002026-04-08
royanasirova/m6-01-lab-neural-networks-fundamentals110002026-05-15
royanasirova/m3-03-lab-bias-clinic-sampling-variability110002026-03-30
royanasirova/m4-10-assessment110002026-05-10
Data-AI-IDDA/m4-03-lab-classification101002026-04-18
Data-AI-IDDA/m6-01-lab-neural-networks-fundamentals101002026-05-15
royanasirova/m4-01-lab-fundamentals-feature-engineering110002026-04-15
royanasirova/m7-02-lab-mlops-lifecycle-reproducibility110002026-06-01
Data-AI-IDDA/m4-02-lab-regression101002026-04-16
Data-AI-IDDA/m2-04-lab-etl-workflows-dataflow101002026-03-08
royanasirova/datanalyst-project110002025-11-02
royanasirova/m2-01-lab-data-sources-representation110002026-03-03
royanasirova/m6-05-lab-sequence-models-transformers110002026-05-27
royanasirova/m9-07-lab-multi-agent-orchestration-safety110002026-07-03
Data-AI-IDDA/m2-01-lab-data-sources-representation101002026-03-03
royanasirova/m8-04-lab-adapting-trusting-llms110002026-06-16
royanasirova/m2-07-lab-real-world-data110002026-03-14
Data-AI-IDDA/m1-01-lab-ipython-python-basics101002026-02-18
royanasirova/m2-04-lab-etl-workflows-dataflow110002026-03-08
royanasirova/m6-07-lab-transfer-learning-fine-tuning110002026-05-29
Data-AI-IDDA/m3-11-lab-statistical-story-dashboard101002026-04-10
royanasirova/m8-03-lab-self-hosted-llms-vlms-inference-engines110002026-06-15
Data-AI-IDDA/m1-06-lab-loading-cleaning101002026-02-24
Data-AI-IDDA/m9-07-lab-multi-agent-orchestration-safety101002026-07-03
royanasirova/m1-08-lab-viz-time-series-advanced-modeling110002026-02-26
royanasirova/m1-05-lab-pandas-foundations110002026-02-23
royanasirova/m6-06-lab-deep-reinforcement-learning110002026-05-28
royanasirova/m3-12-lab-metric-uncertainty-model-comparison110002026-04-12
royanasirova/m8-05-assessment110002026-06-16
Data-AI-IDDA/m6-06-lab-deep-reinforcement-learning101002026-05-28
royanasirova/m3-11-lab-statistical-story-dashboard110002026-04-10
royanasirova/m3-01-lab-eda-toolkit-summary-pitfalls110002026-03-18
royanasirova/m2-08-lab-practical-data-pipelines110002026-03-15
royanasirova/m2-02-lab-data-models-storage-engines110002026-03-04
royanasirova/m6-04-assessment110002026-05-19
Data-AI-IDDA/m4-09-lab-model-deployment000002026-05-08

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
ElvinNasirov5
area42-ai/AREA-42-Final-projectElvinNasirov/ClimaFitAIData-AI-IDDA/m4-02-lab-regressionElvinNasirov/m5-project-weather-pipeline+1
Maqa33335
Data-AI-IDDA/m3-09-lab-feature-relationship-diagnosticsData-AI-IDDA/m4-03-lab-classificationData-AI-IDDA/m2-01-lab-data-sources-representationData-AI-IDDA/m4-04-lab-ensemble-methods+1
wiajane5
ElvinNasirov/ClimaFitAIElvinNasirov/m5-project-weather-pipelineData-AI-IDDA/m6-06-lab-deep-reinforcement-learningData-AI-IDDA/m2-01-lab-data-sources-representation+1
AysuAnar4
Data-AI-IDDA/m1-01-lab-ipython-python-basicsarea42-ai/AREA-42-Final-projectData-AI-IDDA/m2-04-lab-etl-workflows-dataflowData-AI-IDDA/m4-03-lab-classification
SamaAmrullayeva4
Data-AI-IDDA/m1-01-lab-ipython-python-basicsElvinNasirov/ClimaFitAIData-AI-IDDA/m3-10-lab-group-effects-variance-explainedElvinNasirov/m5-project-weather-pipeline
Jabrail-Atakishiyev3
Data-AI-IDDA/m1-01-lab-ipython-python-basicsData-AI-IDDA/m2-01-lab-data-sources-representationData-AI-IDDA/m1-06-lab-loading-cleaning
adilhasanov-glitch3
area42-ai/AREA-42-Final-projectData-AI-IDDA/m6-06-lab-deep-reinforcement-learningData-AI-IDDA/m1-06-lab-loading-cleaning
khavar-analytics3
Data-AI-IDDA/m6-01-lab-neural-networks-fundamentalsData-AI-IDDA/m4-04-lab-ensemble-methodsData-AI-IDDA/m4-03-lab-classification
nargizaliyeva233
Data-AI-IDDA/m3-11-lab-statistical-story-dashboardData-AI-IDDA/m4-02-lab-regressionData-AI-IDDA/m1-06-lab-loading-cleaning
nazrinmammadzadeh3
Data-AI-IDDA/m6-01-lab-neural-networks-fundamentalsData-AI-IDDA/m2-01-lab-data-sources-representationData-AI-IDDA/m4-02-lab-regression
Manheim6662
Data-AI-IDDA/m2-04-lab-etl-workflows-dataflowData-AI-IDDA/m1-06-lab-loading-cleaning
Xalid1102
Data-AI-IDDA/m3-10-lab-group-effects-variance-explainedData-AI-IDDA/m4-02-lab-regression
ZarifaMusayeva2
Data-AI-IDDA/m3-11-lab-statistical-story-dashboardData-AI-IDDA/m1-06-lab-loading-cleaning
d1nsrz2
Data-AI-IDDA/m2-04-lab-etl-workflows-dataflowData-AI-IDDA/m1-06-lab-loading-cleaning
nigarrustamova2
Data-AI-IDDA/m3-11-lab-statistical-story-dashboardData-AI-IDDA/m3-09-lab-feature-relationship-diagnostics
orxannuriyev2
Data-AI-IDDA/m4-04-lab-ensemble-methodsData-AI-IDDA/m3-09-lab-feature-relationship-diagnostics
qoncheismayilova2
Data-AI-IDDA/m3-11-lab-statistical-story-dashboardData-AI-IDDA/m3-09-lab-feature-relationship-diagnostics
seljankhasiyeva2
Data-AI-IDDA/m2-04-lab-etl-workflows-dataflowData-AI-IDDA/m3-09-lab-feature-relationship-diagnostics
AliAgabalayev1
Data-AI-IDDA/m3-11-lab-statistical-story-dashboard
AyxanMuxtar1
Data-AI-IDDA/m6-06-lab-deep-reinforcement-learning
KamalMusayev1
Data-AI-IDDA/m1-06-lab-loading-cleaning
NarminDirayeva1
Data-AI-IDDA/m2-04-lab-etl-workflows-dataflow
Revan-shift1
Data-AI-IDDA/m3-09-lab-feature-relationship-diagnostics
ShamilAliyew1
Data-AI-IDDA/m2-01-lab-data-sources-representation
aliyarlinurana1
Data-AI-IDDA/m2-04-lab-etl-workflows-dataflow

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