Relevance
3.00
MedTech Data Capabilities at TU Munich
Readable summary of the public-source record.
11 unique extracted claims
| Claim | Value | How found | Evidence grade | Source |
|---|---|---|---|---|
| Profile summary | Predictive Maintenance Microsoft Power BI Azure Databricks Medtech Data Analysis Data Pipelines Data Validation Real World Evidence (RWE) Google Cloud Platform (GCP) GitHub Plotly Analytical Skills Java Python (Programming Language) R (Programming Language) SQL Product Management Scrum Tableau Bioinformatics | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| current city | Munich | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| current country | DE | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Current role | MedTech Data Capabilities | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Program | M.Sc. Bioinformatics @TUM & LMU | Data Capabilities @Johnson&Johnson Master of Science - MS — Bioinformatics | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Name | Zeynep Korkmaz | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Talent area | - | Keyword taxonomy | MEDIUM | Open |
| linkedin url | https://www.linkedin.com/in/zeynepkkorkmaz | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Profile photo | https://media.licdn.com/dms/image/v2/D4D03AQHfNgv0Eceeeg/profile-displayphoto-scale_100_100/B4DZeC1_wJHAAc-/0/1750246883436?e=1781740800&v=beta&t=JLub6ZOfG3uVLYAnkjKmKpHUYDpaPFjPx22UiVE2vGk | apify:harvestapi_linkedin_profile_search | MEDIUM | Open |
| Relevance score | 3.00 | Rule-based scoring | MEDIUM | Open |
| turkey connection status | TR_CONFIRMED | Rule-based scoring | HIGH | Open |
Transparent priority heuristic from graduation horizon, university tier, field priority, and Turkey tie. This is not a prediction.
Keyword taxonomy rule score over LinkedIn public profile text. This is not a trained model.
Weighted public-source Turkey-connection rule score from Apify LinkedIn profile fields. Public self-description contains Turkey/Turkish context plus Turkish name signal. This is not a calibrated probability.