Cv
Curriculum Vitae
Personal Information
Name: Harold Nikoue
Email: h.a.nikoue@gmail.com
Location: [Your Location]
LinkedIn: linkedin.com/in/harold-nikoue
GitHub: github.com/Haroldinho —
Profile
Aerospace Engineer and Data Scientist with years of experience applying statistical machine learning and AI to solve complex problems in transportation, demand forecasting, slot scheduling video and captioning processing. Constanlty learning, adept at working in teams and thrive in fast-paced environments where the goals are still being defined.
Professional Experience
Aireon | McLean, VA, USA Lead Data Scientist Dec 2021 - Present
- Led the data science team in the development and deployment of machine learning models for anomaly detection and prediction in the aviation industry.
- Managed the end-to-end lifecycle of data products, from ideation to production.
- Collaborated with cross-functional teams to define project requirements and deliver data-driven solutions.
Airbus | Hamburg, Germany Data Scientist Sep 2018 - Nov 2021
- Developed and implemented machine learning algorithms for predictive maintenance and operational efficiency in aircraft manufacturing.
- Performed data analysis and visualization to identify trends and insights from large datasets.
- Contributed to the development of a data analytics platform for the A320 family program.
Pace | Cambridge, UK Aerospace Engineer Sep 2015 - Aug 2018
- Designed and analyzed aerodynamic models for next-generation aircraft.
- Conducted computational fluid dynamics (CFD) simulations to optimize aircraft performance.
- Supported wind tunnel testing and flight test campaigns.
Education
PhD in Aerospace Engineering Georgia Institute of Technology | Atlanta, GA 2021
MSc in Operations Research Georgia Institute of Technology | Atlanta, GA 2018 - 2020
MSc in Aerospace Engineering Georgia Institute of Technology | Atlanta, GA 2012 - 2013
BSc in Aerospace Engineering Politecnico di Milano | Milan, Italy 2008 - 2011
Skills
| Category | Skills |
|---|---|
| AI/ML | Deep Learning (Pytorch), NLP (SpaCy), Computer Vision, Anomaly Detection, Predictive Modeling |
| Data Science | Pandas, NumPy, Scikit-learn, Kubeflow, Visualization (Streamlit, Plotly) |
| Programming | Python, SQL, C++, MATLAB, Bash |
| Cloud | AWS, Azure, Google Cloud Platform |
| Soft Skills | Team Leadership, Project Management, Communication, Problem Solving |
Certifications
Research Projects
PhD Research | University of Cambridge
- Developed a novel method for the analysis of unsteady aerodynamic flows using machine learning techniques.
- Published 3 papers in peer-reviewed journals.
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