Ziv Melamed
Data Scientist
Demarest,NJ
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in maritime and shipping.
LinkedIn: linkedin.com/in/ziv-melamed-0855b4133/
Overview
5
5
years of professional experience
Work History
Data Scientist
Nautilus Labs
02.2022 - Current
- Combining data from IoT sensors, automated reports, and third-party weather data to develop ML models used to optimize voyages and model performance of vessels
- Utilizing statistical concepts and physics principles to develop ML models that represent vessel behavior as digital twins
- Collaborating with stakeholders to investigate/develop novel approaches to improve performance and increase modeling capabilities
- Creating and maintaining production-level ML models and educating internal/external stakeholders on model interpretation
- Performing ML-Ops to design/maintain/troubleshoot model training pipelines and integrating with engineering infrastructure
- Researching industry trends and rapidly prototyping solutions to be presented to clients
Coastal Engineer
Mott MacDonald
06.2020 - 02.2022
- Implementing numerical models and geospatial/time-series data to create models that represent ocean environment and to solve engineering design problems through finite element analysis
- Pipelining ocean/meteorological data from sensors and APIs to perform data analysis, visualization and preliminary modeling calculations
- Performing data analysis on AIS historical vessel data for purposes of modeling/interpreting local traffic and scenario selection for passing ship hydrodynamic analysis
- Collaborating closely with team members to self-delegate and execute on project requirements while providing additional solutions for clients
Lead Engineering Intern
Serco, Washington D.C
05.2019 - 09.2019
- Developed empirical methods to calculate hydrodynamic loading for designing control surfaces
- Reviewed/collaborated on design for new ships and marine systems
Education
B.S - Ocean Engineering
Texas A&M University
College Station Skills
- Data Science Research Methods
- Data Analysis and Visualization
- Applied Physics
- Statistical Analysis
- Bayesian Statistics and Modeling
- Neural Networks
- Python (pandas, NumPy, scikit-learn, Tensorflow)
- ML-Ops (AWS, Dragster, linux, SQL, Bash, Github)
- Agile Framework
- Notion, MS Office
- Analytical Thinking
- Problem Solving
- Project Planning
Timeline
Data Scientist
Nautilus Labs
02.2022 - Current
Coastal Engineer
Mott MacDonald
06.2020 - 02.2022
Lead Engineering Intern
Serco, Washington D.C
05.2019 - 09.2019
B.S - Ocean Engineering
Texas A&M University
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