Qin Z.-Research Intern

Check rate
Experience
Research Intern
Interdisciplinary Centre for Security, Reliability and Trust
- Studied blockchain-based self-sovereign identity frameworks, analyzing cross GDPR, eIDAS 2.0 and NIST SP 800-63 standards
- Conducted experiments using Cursor and Claude Code to benchmark standards compatibility
Algorithm Engineer
Aival Data
- Collaborated with business analysts to design machine learning solutions
- Improved client sales forecasting accuracy by 23% over 12,000+ environments while optimizing runtime performance
- Technologies used: LangChain, ChromaDB, Linux/Unix, Azure, AWS, Docker, Kubernetes, Serverless, ETL/ELT, MLOps, HuggingFace, PyTorch, scikit-learn, Python, C/C++, Rust, VBA, TypeScript, SQL, Shell, FastAPI, VDB, FinTech AI Agents, LangGraph
Forecast Analyst
DJ-Innovations
- Identified urgent business needs and developed data pipelines and dashboards to enable real-time reporting and data-driven decision making
Supply Chain Analyst
TP-Link
- Developed VBA macros to streamline data aggregation and generate schedules, reducing manual workload across transformation projects
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Banking and Finance, and Education.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, Product Development, Supply Chain Management, and Research and Development.
Skills
Creative Problem Solver
Collaborative And Communicative
Self-Driven And Independent
Detail-Oriented And Analytical
Fintech
Ai Agents
Langgraph
Fastapi
Vdb
Python
C/C++
Rust
Vba
Typescript
Sql
Shell
Huggingface
Pytorch
Scikit-Learn
Langchian
Chromadb
Linux/Unix
Azure
Aws
Docker
K8s
Serverless
Etl/Elt
Mlops
Project Management
Prototyping
Customer Success
Lightgbm
Lstm
Apache Spark
Statistical Modeling
Data Validation
Power Bi
Airflow
Scm Digitalization
Erp
Crm
Languages
Education
EURECOM
Master · Data Science and Engineering · Biot, France
South China University of Technology
Bachelor · Logistics Engineering · Guangzhou, China
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Qin is based in Esch-sur-Alzette, Luxembourg.
Qin speaks the following languages: English (Native), Chinese (Native), French (Advanced), German (Intermediate).
Qin has at least 5 years of experience. During this time, Qin has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 1 year and 2 months. Note that Qin may not have shared all experience and actually has more experience.
Based on recent experience, Qin would be well-suited for roles such as: Research Intern, Algorithm Engineer, Forecast Analyst.
Qin's most recent position is Research Intern at Interdisciplinary Centre for Security, Reliability and Trust.
In recent years, Qin has worked for Interdisciplinary Centre for Security, Reliability and Trust and Aival Data.
Qin is most experienced in industries like Information Technology, Banking and Finance, and Education.
Qin is most experienced in business areas like Business Intelligence, Supply Chain Management, and Information Technology. Qin also has some experience in Product Development and Research and Development.
Qin holds a Master in Data Science and Engineering from EURECOM and a Bachelor in Logistics Engineering from South China University of Technology.
The availability of Qin needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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