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Elsa Quicazan

Elsa Quicazan

Environmental Advisor Offshore Wind

Wetenschappelijk

The Hague, 's-Gravenhage

Sociaal


Over Elsa Quicazan:

With over 8 years of expertise at the intersection of Biology, Physics, and Engineering, I am actively engaged in the offshore wind industry. My work involves performing thorough analyses of environmental inquiries outlined in tender documents. I facilitate stakeholder collaboration to enhance biodiversity data collection, advance environmental research, and promote environmental objectives. Additionally, I have a strong interest in developing and executing projects. I am particularly passionate about Nature Inclusive Design (NID) and Biomimicry within the offshore wind industry. As a proven leader in multicultural, multidisciplinary teams, I consistently deliver impactful outcomes.

Ervaring

Seaway7 · Oct 2023 - Present 

Associate Environmental Advisor

The Randstad, Netherlands

- Perform thorough analyses of environmental inquiries outlined in tender documents.
- Facilitate stakeholder collaboration for biodiversity footage, to bolster data collection and advance environmental research and sustainability objectives.

 

Bioinspirada •07/2020 - Present 

Entrepreneur, And Data Analyst 

With strong analytical skills, I specialize in data analysis on public business datasets, incorporating data visualization using Power BI and Tableau 

• Independently mastered WordPress and utilized Trello for Agile project management, ensuring efficiency in planning and developing a website within a 6-month period 

• Delivered lectures on nature-inspired technology for the sustainability program 'Diploma in Socioecological and Energy Transitions in Latin America and the Caribbean' to stakeholders from 9+ Latin American countries. 

Independently mastered WordPress and utilized Trello as an Agile system to develop my entrepreneurship website within 6 months. You can explore my data visualization portfolio at the website of my brand “Bioinspirada”

 

Data Science for All by Correlation One •03/2022 - 07/2022 

Data Science Trainee 

• Managed an interdisciplinary team to develop a predictive model with 13% error, analyzing ESG data with Python, resulting in 5 successful deliverables, including an interactive dashboard • Demonstrated strong team player skills, fostering a collaborative and team-oriented environment achieving 100% success on project delivery 

• Within a 3-month period, I employed Pandas, Jupyter notebooks, and Python libraries for data cleansing, visualization, and statistics to gain insights from real-world cases • Analyzed large datasets from 5 domains (sports retail, Airbnb, New York traffic, diseases, and storms) using SQL 

• Earned a high-quality data science certification, selected among the top 12.5% of candidates in a competitive process, while meeting tight deadlines 

 

Wageningen University And Research •10/2011 - 09/2019 

Ph.D. Researcher 

• Maintained adherence to technical requirements, data acquisition protocols, and proper documentation in a datadriven program in Biomechanics, ensuring equipment reliability and data accuracy. Achieved 100% compliance across 4 concurrent projects 

• Developed and validated legacy MATLAB software, creating impactful visualizations and recognized for data storytelling with a featured research paper in a renowned science magazine 

• Led interinstitutional cooperation between two cross-functional research groups and met stakeholders needs 

• Managed the project budget, ensured project compliance, and authored 3 high-quality papers, meeting all stakeholders requirements.

Opleiding

7+ years of Data Analysis experience with a Ph.D. in Life Sciences. Skilled in data collection, cleansing, quality assessment, and visualization, demonstrated through 5 scientific papers, a 13.06% error machine learning predictive model, and Power BI and Tableau reporting. Strong analytical abilities, selected among the top 12.5% for a high-quality data science certification. Proven track record of successful collaboration in multidisciplinary, international teams. Eager to contribute to sustainable development.

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