Run 1666524e-a813-4a08-893b-1d9575361399
Status
COMPLETED
COMPLETED
Document
document, 263902 bytes
document, 263902 bytes
Chunks / labels placed
3 / 139
3 / 139
Parser warnings (not anonymized, feature F3): W_DOCX_CUSTOM_PROPERTIES, W_DOCX_EMBEDDED_CONTENT
Legend: PERSONLOCATIONORGANIZATIONHEALTHCAREDATEAGEPHONEEMAILURLNATIONAL_IDOTHER_IDPROFESSIONPASSAGE
Anonymized
Mozhde [PERSON_001]
[OTHER_ID_001] | [HEALTHCARE_INSTITUTION_001] Innovator
Mozhde is a data-driven innovator and [HEALTHCARE_INSTITUTION_001] with over 10 years of experience translating complex business challenges into impactful data products. [OTHER_ID_002] has successfully delivered forecasting models, optimization tools, and intelligent dashboards that improved decision-making in large-scale supply chain, operations, and commercial environments across Europe.
Her expertise spans advanced analytics, resource planning algorithms, [OTHER_ID_003] automation, and scalable software solutions. [OTHER_ID_002] combines strong statistical and mathematical foundations ([OTHER_ID_004] & [OTHER_ID_005], [OTHER_ID_006]) with hands-on engineering skills in [OTHER_ID_007], [OTHER_ID_008] [PERSON_002], and cloud technologies.
Mozhde thrives at the intersection of business and technology—working closely with stakeholders to identify high-value opportunities, design prototypes, and validate innovations that generate measurable results. [OTHER_ID_002] has [OTHER_ID_009] multi-disciplinary teams, served as [OTHER_ID_001] and [OTHER_ID_010] on EU innovation projects, and brings an entrepreneurial mindset to creating solutions that balance strategic impact with operational feasibility.
Her approach is dynamic, reliable, and collaborative. [OTHER_ID_002] enjoys tackling complexity, driving innovation within fast-paced environments, and creating data insights and tools that deliver tangible value to business operations and supply chains.
YEAR OF BIRTH:
1990
IN THE [PERSON_003]:
[PERSON_004] [OTHER_ID_011]
[OTHER_ID_012] as an [OTHER_ID_013] in the [OTHER_ID_014] database, leading [OTHER_ID_003] innovation as [OTHER_ID_010] in multiple EU-funded projects.
Below are recent assignments:
[OTHER_ID_015] ([DATE_001])
Resource planning tool and [PERSON_002] dashboard
[OTHER_ID_001] and [HEALTHCARE_INSTITUTION_001]
Designed and implemented a resource planning tool that optimized workforce allocation and scheduling across multiple business units, improving efficiency and reducing operational bottlenecks.
Developed an interactive [PERSON_002] dashboard to provide real-time insights into resource utilization, costs, and performance, enabling data-driven decision-making for [OTHER_ID_016] and operations teams.
Built end-to-end data pipelines to extract, transform, and load (ETL) data from various enterprise systems, ensuring accurate, consistent, and [PERSON_005] reporting.
Collaborated with cross-functional stakeholders to translate business requirements into analytical models and visualizations, aligning the tool and dashboard with strategic goals.
dRural Project ([PERSON_006])([DATE_002])
BI-Dashboard for [OTHER_ID_017] data
[OTHER_ID_001] and [HEALTHCARE_INSTITUTION_001]
Conducted analysis of logistics-related [OTHER_ID_017] data, implemented anonymization methods, and designed a secure database to ensure compliance and reliability.
Created a unified data model to seamlessly collect, integrate, and anonymize information from multiple client systems, resulting in a centralized [PERSON_002] dashboard.
Engineered scalable data pipelines to clean, transform, and prepare multi-sensor inputs, enabling precise gesture recognition in [OTHER_ID_017] environments.
ROLES AND COMPETENCES
[OTHER_ID_018] / [OTHER_ID_010]
[OTHER_ID_019]
[OTHER_ID_001]
[OTHER_ID_020] & [OTHER_ID_021]
Project & [PERSON_007] Manager
Resource Planning Algorithms & Optimization
AI & [PERSON_008] [OTHER_ID_022] and [OTHER_ID_023]
[OTHER_ID_024] & [OTHER_ID_025]
Performance [OTHER_ID_016]
Interviewing Skills
Team Building
Delegation
Execution
INDUSTRIES
[OTHER_ID_017]
Distribution and logistics
Technology
Startup
ShadowRobotics ([DATE_003])
Robotic
[OTHER_ID_010], Sensor [PERSON_009] & ML Preprocessing [PERSON_010]
[OTHER_ID_009] the development and implementation of sensor [PERSON_009] algorithms and calibration modules for a real-time hand movement detection system.
Designed a unified model to collect and integrate data from multiple sensors, ensuring synchronization, noise reduction, and preprocessing for downstream [PERSON_008] learning tasks.
Built robust data pipelines to clean, process, and prepare multi-sensor data for accurate gesture recognition within the workspace.
Collaborated closely with hardware and ML teams to ensure seamless integration of the sensing layer with the ML inference engine.
Nvisio ([DATE_004])
Automotive [PERSON_003]
[OTHER_ID_001] & [OTHER_ID_010]
Multi-Dataset [PERSON_010] Development | Cloud [OTHER_ID_023]
[OTHER_ID_009] the preparation, cleaning, and harmonization of three distinct image datasets for computer vision tasks.
Designed and orchestrated a modular [PERSON_010] to process and train models on each dataset, ensuring consistency and performance across domains.
Implemented and deployed the full [PERSON_010] on Nvisio’s cloud infrastructure, optimizing for scalability and reliability.
Collaborated with cross-functional teams to align data engineering and model [OTHER_ID_023] strategies with business goals.
ELEMENTA LABS ([DATE_005])
[PERSON_011]
R&[PERSON_012] – [OTHER_ID_026] & TTS Systems
[OTHER_ID_027] | [OTHER_ID_028] | [OTHER_ID_029]
[OTHER_ID_009] research and development of [OTHER_ID_030] ([OTHER_ID_026]) and [OTHER_ID_031] (TTS) systems as the core components of the platform.
Applied cutting-edge [OTHER_ID_028] techniques to build robust, real-world speech-to-text pipelines, optimized for accuracy and latency.
Delivered [OTHER_ID_029] from data preprocessing and model training to evaluation and [OTHER_ID_023].
Contributed to the system's ability to handle diverse accents, noise conditions, and real-time inference requirements.
[PERSON_013] [OTHER_ID_032]
[OTHER_ID_033] & [OTHER_ID_034]: [OTHER_ID_035] | [OTHER_ID_036] for [OTHER_ID_037]
[OTHER_ID_038] | [OTHER_ID_039] – [OTHER_ID_040]
[OTHER_ID_041] and [OTHER_ID_009] [OTHER_ID_035], a deep-tech company that partners with [OTHER_ID_037] to design, build, and deploy tailored [OTHER_ID_003] solutions across diverse industries.
Successfully co-developed and delivered software systems for some of the largest taxi companies in the [OTHER_ID_038], focusing on real-time route optimization, financial dashboards, and resource planning.
[OTHER_ID_009] the development of an AI-based cybersecurity and anomaly detection platform, leveraging [PERSON_008] learning to proactively identify threats in complex environments.
Designed and implemented a content generation platform for HR companies, powered by [PERSON_014] (LLMs), automating candidate profiling and job matching.
Spearheaded R&D initiatives in [OTHER_ID_021] to solve NP-hard optimization problems, with practical applications in logistics and planning.
Oversaw the full lifecycle of AI projects—from ideation and system architecture to [OTHER_ID_023] and scaling—ensuring alignment with client needs and [PERSON_003] standards.
[OTHER_ID_033] and CTO: [PERSON_015] [OTHER_ID_042] for [OTHER_ID_017] ([OTHER_ID_038])
[OTHER_ID_038] | [OTHER_ID_043]
Co-[OTHER_ID_041] and [OTHER_ID_009] the technical vision of [PERSON_015], an innovative [OTHER_ID_017] technology company focused on AI-based outpatient resource planning.
Architected and oversaw the development of a scalable, intelligent scheduling and planning system adopted by [OTHER_ID_017] providers across the [OTHER_ID_038].
Directed cross-functional R&D teams in building advanced planning algorithms tailored to real-world clinical workflows, reducing operational bottlenecks and increasing patient throughput.
Successfully integrated [PERSON_015] into regional care ecosystems, demonstrating real-world impact on efficiency and service delivery in the Dutch [OTHER_ID_017] sector.
Intelligent Operations Manager: MTN
MTN Group - [OTHER_ID_011]-2018
Project & [PERSON_007] [OTHER_ID_016] | [OTHER_ID_044]
[OTHER_ID_045] end-to-end projects and programs focused on enhancing service [OTHER_ID_016] and operational efficiency within [OTHER_ID_046] division.
[OTHER_ID_009] cross-departmental initiatives to implement [OTHER_ID_003] service analytics, predictive maintenance strategies, and real-time performance monitoring tools.
Coordinated stakeholders across technology, customer service, and network operations to ensure alignment and [PERSON_005] delivery of key transformation programs.
Developed and executed frameworks for service [PERSON_016] improvement, leveraging data insights to reduce downtime and improve user experience.
Contributed to the strategic roadmap for automation and intelligent network operations, supporting MTN’s vision for digital transformation.
[HEALTHCARE_INSTITUTION_002] | Scalable Systems | [HEALTHCARE_INSTITUTION_001]
[HEALTHCARE_INSTITUTION_002] | Scalable Systems | [HEALTHCARE_INSTITUTION_001]
Chunks and confidentiality decisions
| # | Span | Risk | Decision | Reasons | SLM review | Disposition |
|---|---|---|---|---|---|---|
| 0 | 0–3895 | 0 | NONE | – | – | KEEP |
| 1 | 3895–7872 | 0 | NONE | – | – | KEEP |
| 2 | 7872–8623 | 0 | NONE | – | – | KEEP |
Labels in this document
| Label | Type | Occurrences |
|---|---|---|
| [DATE_001] | DATE | 1 |
| [DATE_002] | DATE | 1 |
| [DATE_003] | DATE | 1 |
| [DATE_004] | DATE | 1 |
| [DATE_005] | DATE | 1 |
| [HEALTHCARE_INSTITUTION_001] | HEALTHCARE_INSTITUTION | 6 |
| [HEALTHCARE_INSTITUTION_002] | HEALTHCARE_INSTITUTION | 2 |
| [OTHER_ID_001] | OTHER_ID | 6 |
| [OTHER_ID_002] | OTHER_ID | 4 |
| [OTHER_ID_003] | OTHER_ID | 4 |
| [OTHER_ID_004] | OTHER_ID | 1 |
| [OTHER_ID_005] | OTHER_ID | 1 |
| [OTHER_ID_006] | OTHER_ID | 1 |
| [OTHER_ID_007] | OTHER_ID | 1 |
| [OTHER_ID_008] | OTHER_ID | 1 |
| [OTHER_ID_009] | OTHER_ID | 8 |
| [OTHER_ID_010] | OTHER_ID | 5 |
| [OTHER_ID_011] | OTHER_ID | 2 |
| [OTHER_ID_012] | OTHER_ID | 1 |
| [OTHER_ID_013] | OTHER_ID | 1 |
| [OTHER_ID_014] | OTHER_ID | 1 |
| [OTHER_ID_015] | OTHER_ID | 1 |
| [OTHER_ID_016] | OTHER_ID | 4 |
| [OTHER_ID_017] | OTHER_ID | 8 |
| [OTHER_ID_018] | OTHER_ID | 1 |
| [OTHER_ID_019] | OTHER_ID | 1 |
| [OTHER_ID_020] | OTHER_ID | 1 |
| [OTHER_ID_021] | OTHER_ID | 2 |
| [OTHER_ID_022] | OTHER_ID | 1 |
| [OTHER_ID_023] | OTHER_ID | 5 |
| [OTHER_ID_024] | OTHER_ID | 1 |
| [OTHER_ID_025] | OTHER_ID | 1 |
| [OTHER_ID_026] | OTHER_ID | 2 |
| [OTHER_ID_027] | OTHER_ID | 1 |
| [OTHER_ID_028] | OTHER_ID | 2 |
| [OTHER_ID_029] | OTHER_ID | 2 |
| [OTHER_ID_030] | OTHER_ID | 1 |
| [OTHER_ID_031] | OTHER_ID | 1 |
| [OTHER_ID_032] | OTHER_ID | 1 |
| [OTHER_ID_033] | OTHER_ID | 2 |
| [OTHER_ID_034] | OTHER_ID | 1 |
| [OTHER_ID_035] | OTHER_ID | 2 |
| [OTHER_ID_036] | OTHER_ID | 1 |
| [OTHER_ID_037] | OTHER_ID | 2 |
| [OTHER_ID_038] | OTHER_ID | 5 |
| [OTHER_ID_039] | OTHER_ID | 1 |
| [OTHER_ID_040] | OTHER_ID | 1 |
| [OTHER_ID_041] | OTHER_ID | 2 |
| [OTHER_ID_042] | OTHER_ID | 1 |
| [OTHER_ID_043] | OTHER_ID | 1 |
| [OTHER_ID_044] | OTHER_ID | 1 |
| [OTHER_ID_045] | OTHER_ID | 1 |
| [OTHER_ID_046] | OTHER_ID | 1 |
| [PERSON_001] | PERSON | 1 |
| [PERSON_002] | PERSON | 4 |
| [PERSON_003] | PERSON | 3 |
| [PERSON_004] | PERSON | 1 |
| [PERSON_005] | PERSON | 2 |
| [PERSON_006] | PERSON | 1 |
| [PERSON_007] | PERSON | 2 |
| [PERSON_008] | PERSON | 3 |
| [PERSON_009] | PERSON | 2 |
| [PERSON_010] | PERSON | 4 |
| [PERSON_011] | PERSON | 1 |
| [PERSON_012] | PERSON | 1 |
| [PERSON_013] | PERSON | 1 |
| [PERSON_014] | PERSON | 1 |
| [PERSON_015] | PERSON | 3 |
| [PERSON_016] | PERSON | 1 |
Detections
| State | Type | Source | Count |
|---|---|---|---|
| KEPT | DATE | ENCODER | 5 |
| KEPT | HEALTHCARE_INSTITUTION | ENCODER | 4 |
| KEPT | HEALTHCARE_INSTITUTION | PROPAGATION | 4 |
| KEPT | OTHER_ID | ENCODER | 51 |
| KEPT | OTHER_ID | PROPAGATION | 44 |
| KEPT | PERSON | ENCODER | 23 |
| KEPT | PERSON | PROPAGATION | 8 |
| SUPERSEDED | DATE | ENCODER | 3 |
| SUPERSEDED | HEALTHCARE_INSTITUTION | PROPAGATION | 5 |
| SUPERSEDED | LOCATION | ENCODER | 1 |
| SUPERSEDED | OTHER_ID | ENCODER | 1 |
| SUPERSEDED | OTHER_ID | PROPAGATION | 53 |
| SUPERSEDED | PERSON | ENCODER | 3 |
| SUPERSEDED | PERSON | PROPAGATION | 26 |
KEPT = used for a label. SUPERSEDED = overlapped by a stronger detection. PROPAGATION = found by searching known names again.
Run details
| chunker | segment-aware(max=4000,overlap=200) |
|---|---|
| cipher | AES256-GCM:a7c34a0b |
| deid | 0.1.0 |
| encoder | deduce+crf |
| encoder_version | deduce=3.0.6;crf=deidentify-0.7.3;model=model_crf_ons_tuned-v0.2.0@0a78b6e811e9;refine=tighten-v2(crf:Other),snap-v1,non-identifying-v3(2026-10-07.1:5e51ad55a66e) |
| keyer | HMAC-SHA256:3f86e44c |
| normalizer | default-v3 |
| resolver | exact-normalized-v1 |
| risk_calculator | distinct-rule-sum-v1 |
| risk_policy | threshold-v1(threshold=10) |
| slm | llama.cpp:fietje-2-instruct-q4_k_m |
| structure | spreadsheet-structure-v1(2026-10-07.1:f92c0f97d935) |
| analyze_ms | 230 |
| chunks | 3 |
| identities | 69 |
| label_collisions | 0 |
| mentions_kept | 139 |
| mentions_propagated | 56 |
| mentions_superseded | 92 |
| parse_ms | 5 |
| peak_rss_mb | 1234 |
| render_ms | 101 |
| replacements | 139 |
| resolve_ms | 627 |
| slm_failures | 0 |
| slm_reviews | 0 |
| structure_mentions | 0 |
| total_ms | 1005 |
| warnings | ['W_DOCX_CUSTOM_PROPERTIES', 'W_DOCX_EMBEDDED_CONTENT'] |