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wiajane

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active 2026-02-18 → 2026-07-15 (UTC) · 47 repositories

Complete coverage27,156 / 27,158 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-19 (UTC)
Events
68
Pushes
40
Pull requests
11
Issues
0
Reviews
0
Repositories
47

Activity over time

Daily event counts in the loaded window

Line chart, 148 days from 2026-02-18 to 2026-07-15. Pushes: 40 total, peak 4 in a day. Pull requests: 11 total, peak 1 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

RepositoryContributionsPushesPRsIssuesCommentsLast seen
ElvinNasirov/ClimaFitAI761002026-05-03
wiajane/m6-09-assessment220002026-06-05
wiajane/m1-01-lab-ipython-python-basics220002026-02-19
AliAgabalayev/Flood-Damage-Detection110002026-07-15
Data-AI-IDDA/m1-05-lab-pandas-foundations101002026-02-23
Data-AI-IDDA/m2-07-lab-real-world-data101002026-03-14
Data-AI-IDDA/m2-01-lab-data-sources-representation101002026-03-02
Data-AI-IDDA/m1-06-lab-loading-cleaning101002026-02-24
Data-AI-IDDA/m1-08-lab-viz-time-series-advanced-modeling101002026-02-28
Data-AI-IDDA/m1-07-lab-indexing-aggregation101002026-02-26
wiajane/m6-04-assessment110002026-05-29
wiajane/m4-07-lab-reinforcement-learning110002026-05-13
wiajane/m9-01-lab-embeddings-vector-search110002026-07-02
wiajane/m6-05-lab-sequence-models-transformers110002026-05-30
wiajane/m9-08-assessment110002026-06-28
Data-AI-IDDA/m1-04-assessment101002026-02-22
wiajane/m4-03-lab-classification110002026-04-17
wiajane/m2-04-lab-etl-workflows-dataflow110002026-03-08
wiajane/m6-07-lab-transfer-learning-fine-tuning110002026-05-31
wiajane/m3-05-lab-bootstrap-cis-practice110002026-04-01
wiajane/m4-04-lab-ensemble-methods110002026-04-17
wiajane/m1-05-lab-pandas-foundations110002026-02-23
wiajane/m3-10-lab-group-effects-variance-explained110002026-04-14
wiajane/m8-05-assessment110002026-06-14
wiajane/m1-08-lab-viz-time-series-advanced-modeling110002026-02-28
wiajane/m9-07-lab-multi-agent-orchestration-safety110002026-07-05
wiajane/m2-01-lab-data-sources-representation110002026-03-02
wiajane/m9-05-lab-llm-workflows-mcp110002026-06-24
Data-AI-IDDA/m6-06-lab-deep-reinforcement-learning101002026-05-31
wiajane/m1-09-assessment110002026-02-28
wiajane/m9-06-lab-ai-agents-agent-loop110002026-06-24
wiajane/m4-06-lab-unsupervised-learning110002026-05-06
wiajane/m2-08-lab-practical-data-pipelines110002026-03-17
ElvinNasirov/m5-project-weather-pipeline101002026-04-20
wiajane/m1-06-lab-loading-cleaning110002026-02-24
wiajane/m2-03-lab-data-formats-execution-engines110002026-03-05
wiajane/m3-13-assessment110002026-04-20
wiajane/m8-01-lab-from-transformers-to-llms110002026-06-11
wiajane/m3-06-lab-t-tests-assumption-checks110002026-04-02
wiajane/m3-08-assessment110002026-04-07
wiajane/m4-08-lab-model-training-evaluation110002026-05-12
wiajane/m3-11-lab-statistical-story-dashboard110002026-04-14
Data-AI-IDDA/m2-08-lab-practical-data-pipelines101002026-03-15
Data-AI-IDDA/m1-01-lab-ipython-python-basics000002026-02-19
Data-AI-IDDA/m3-03-lab-bias-clinic-sampling-variability000002026-03-18
Data-AI-IDDA/m3-06-lab-t-tests-assumption-checks000002026-04-02
Data-AI-IDDA/m4-01-lab-fundamentals-feature-engineering000002026-04-14

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
ElvinNasirov6
ElvinNasirov/ClimaFitAIData-AI-IDDA/m1-04-assessmentElvinNasirov/m5-project-weather-pipelineData-AI-IDDA/m2-07-lab-real-world-data+2
royanasirova5
ElvinNasirov/ClimaFitAIElvinNasirov/m5-project-weather-pipelineData-AI-IDDA/m6-06-lab-deep-reinforcement-learningData-AI-IDDA/m2-01-lab-data-sources-representation+1
Maqa33334
Data-AI-IDDA/m1-08-lab-viz-time-series-advanced-modelingData-AI-IDDA/m2-08-lab-practical-data-pipelinesData-AI-IDDA/m2-01-lab-data-sources-representationData-AI-IDDA/m1-06-lab-loading-cleaning
alexiiiiiiiii4
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m1-07-lab-indexing-aggregationData-AI-IDDA/m2-08-lab-practical-data-pipelinesAliAgabalayev/Flood-Damage-Detection
nigarrustamova4
Data-AI-IDDA/m1-08-lab-viz-time-series-advanced-modelingData-AI-IDDA/m1-04-assessmentData-AI-IDDA/m2-07-lab-real-world-dataAliAgabalayev/Flood-Damage-Detection
SamaAmrullayeva3
ElvinNasirov/ClimaFitAIData-AI-IDDA/m1-07-lab-indexing-aggregationElvinNasirov/m5-project-weather-pipeline
ShamilAliyew3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-08-lab-practical-data-pipelinesData-AI-IDDA/m2-01-lab-data-sources-representation
adilhasanov-glitch3
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m6-06-lab-deep-reinforcement-learningData-AI-IDDA/m1-06-lab-loading-cleaning
aliyarlinurana3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m1-04-assessmentData-AI-IDDA/m1-07-lab-indexing-aggregation
apoplavsky3
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m2-07-lab-real-world-dataData-AI-IDDA/m1-04-assessment
wiserval3
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m6-06-lab-deep-reinforcement-learningData-AI-IDDA/m2-08-lab-practical-data-pipelines
AliAgabalayev2
Data-AI-IDDA/m1-05-lab-pandas-foundationsAliAgabalayev/Flood-Damage-Detection
AysuAnar2
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m1-08-lab-viz-time-series-advanced-modeling
Jabrail-Atakishiyev2
Data-AI-IDDA/m2-01-lab-data-sources-representationData-AI-IDDA/m1-06-lab-loading-cleaning
KamalMusayev2
Data-AI-IDDA/m1-05-lab-pandas-foundationsData-AI-IDDA/m1-06-lab-loading-cleaning
Manheim6662
Data-AI-IDDA/m1-04-assessmentData-AI-IDDA/m1-06-lab-loading-cleaning
NarminDirayeva2
Data-AI-IDDA/m1-08-lab-viz-time-series-advanced-modelingData-AI-IDDA/m1-04-assessment
esliehmedova2
Data-AI-IDDA/m1-07-lab-indexing-aggregationData-AI-IDDA/m2-08-lab-practical-data-pipelines
nargizaliyeva232
Data-AI-IDDA/m2-08-lab-practical-data-pipelinesData-AI-IDDA/m1-06-lab-loading-cleaning
nazrinmammadzadeh2
Data-AI-IDDA/m1-07-lab-indexing-aggregationData-AI-IDDA/m2-01-lab-data-sources-representation
AyxanMuxtar1
Data-AI-IDDA/m6-06-lab-deep-reinforcement-learning
Xalid1101
Data-AI-IDDA/m1-07-lab-indexing-aggregation
ZarifaMusayeva1
Data-AI-IDDA/m1-06-lab-loading-cleaning
d1nsrz1
Data-AI-IDDA/m1-06-lab-loading-cleaning
eliyevaulviye1
Data-AI-IDDA/m1-08-lab-viz-time-series-advanced-modeling

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