Data scientist
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- 4 Referenzen
- auf Anfrage
- 85748 Garching bei München
- auf Anfrage
- bg | en | de
- 10.08.2022
Kurzvorstellung
Auszug Referenzen (4)
"Proactive communication and clear working structure."
8/2021 – 3/2022
Tätigkeitsbeschreibung
Was responsible for benchmarking neural network inference on edge devices such as Intel's Neural Compute
Stick 2.
Conducted a small literature review on TPUs/VPUs.
Extended my programming knowledge in Python
Gained experience in working with Raspberry Pi which helped me strengthen my Linux and networking
knowledge.
Forschung & Entwicklung (allg.), Python
"Main developer of the open-source project (-Hyperlink entfernt-). Responsible for SW-architecture & design, CI/CD and Testing."
4/2021 – 3/2022
Tätigkeitsbeschreibung
Developing a Metadata Crawler which will later be used to make simulation data reusable.
Continuously exchanging ideas with my supervisor
Gained insight into the semantic web and ontologies as well as their applications in science and research.
Fully responsible for the development, planning, and architecture of the project as the only computer scientist on the team.
OWL (Web Ontology Language), Python, Software Architektur / Modellierung, Softwarequalität
"Herr R. hat sehr erfolgreich als Werkstudent bei der Interhyp AG gearbeitet."
6/2020 – 3/2021
TätigkeitsbeschreibungAnalysed and visualized company data. Supported BI and Data science teams.
Eingesetzte QualifikationenData Science, PL/SQL, Python, SQL, Tableau
"R. hat für uns sehr zuverlässig Prozesse mit dem Testmanagement Systeme TestRail über die Java-API automatisiert."
3/2019 – 4/2020
TätigkeitsbeschreibungDeveloped various automation tools for the QA team.
Eingesetzte QualifikationenGit, Java (allg.), Jira, Qualitätsmanagement / QS / QA (IT)
Qualifikationen
Projekt‐ & Berufserfahrung
4/2022 – 10/2022
Tätigkeitsbeschreibung
Department: Fraud analytics
- Working on building classification models for fraud detection for Allianz Italy which have estimated millions of savings.
- Working on building various models for fairness (e.g. gender discrimination)
Confluence (Atlassian), Data Mining, Data Science, Jira, Maschinelles Lernen, Natural Language Processing (NLP), Python, SQL
8/2021 – 3/2022
Tätigkeitsbeschreibung
Was responsible for benchmarking neural network inference on edge devices such as Intel's Neural Compute
Stick 2.
Conducted a small literature review on TPUs/VPUs.
Extended my programming knowledge in Python
Gained experience in working with Raspberry Pi which helped me strengthen my Linux and networking
knowledge.
Forschung & Entwicklung (allg.), Python
4/2021 – 3/2022
Tätigkeitsbeschreibung
Developing a Metadata Crawler which will later be used to make simulation data reusable.
Continuously exchanging ideas with my supervisor
Gained insight into the semantic web and ontologies as well as their applications in science and research.
Fully responsible for the development, planning, and architecture of the project as the only computer scientist on the team.
OWL (Web Ontology Language), Python, Software Architektur / Modellierung, Softwarequalität
6/2020 – 3/2021
TätigkeitsbeschreibungAnalysed and visualized company data. Supported BI and Data science teams.
Eingesetzte QualifikationenData Science, PL/SQL, Python, SQL, Tableau
3/2019 – 4/2020
TätigkeitsbeschreibungDeveloped various automation tools for the QA team.
Eingesetzte QualifikationenGit, Java (allg.), Jira, Qualitätsmanagement / QS / QA (IT)
Ausbildung
Munich
Über mich
In Allianz, I am part of the Data Science team of Group Anti-Fraud Solutions working on detecting fraud in insurance claims.
The topic of my thesis was "Hate Speech Classification in Bulgarian". This includes a literature review on the current state of the art models for HS classification and their adaptation for Bulgarian. As part of my thesis, I contacted various big Bulgarian websites to provide me with data. One of the biggest ones was BG-Mama which is the largest Bulgarian online forum. The thesis was graded with 1.0.
In the past three years, I was extremely lucky to be able to gain experience in a wide variety of companies and teams, whilst maintaining complete independence from my parents.
During my studies, I fell in love with data and the science of extracting insight from it. For the future, I am going to mainly focus on increasing my knowledge in the domain of Data Science because this is the only field that offers the diversity that I need in order to excel.
Weitere Kenntnisse
Persönliche Daten
- Deutsch (Gut)
- Englisch (Fließend)
- Bulgarisch (Muttersprache)
- Europäische Union
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