Eleni Graikou Email & Phone Number
Who is Eleni Graikou? Overview
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Eleni Graikou is listed as Data scientist | Astrophysicist Ph.D. at MX, a company with 723 employees, based in Austin, Texas Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Eleni Graikou.
Eleni Graikou previously worked as Data Scientist at Mx and Data Scientist at Desy. Eleni Graikou holds Doctor Of Philosophy - Phd, Astronomy And Astrophysics, Magna Cum Laude from The University Of Bonn.
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About Eleni Graikou
๐ As a Data Scientist and Data Analyst with over 7 years of expertise in data analysis, machine learning, and statistical modeling, I am passionate about transforming complex data into actionable insights. My experience spans developing advanced algorithms, optimizing data pipelines, and managing large-scale SQL databases. I specialize in Python, Pandas, ETL processes, and containerization technologies such as Docker and Singularity.๐ง ๐ฆ๐ฎ๐บ๐ฝ๐น๐ฒ ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐ฆ๐ธ๐ถ๐น๐น๐:โ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ & ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐ฎ๐น ๐ ๐ผ๐ฑ๐ฒ๐น๐ถ๐ป๐ด: Python, Pandas, Scikit-Learn, TensorFlow, Keras, Seabornโ ๐๐ถ๐ด ๐๐ฎ๐๐ฎ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐: SQL, MongoDB, ETL/ELT processesโ ๐๐ฎ๐๐ฎ ๐ฉ๐ถ๐๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป ๐ง๐ผ๐ผ๐น๐: Matplotlib, Plotly, Jupyter Notebook, Tableauโ ๐๐ผ๐ป๐๐ฎ๐ถ๐ป๐ฒ๐ฟ๐/๐ฉ๐ฒ๐ฟ๐๐ถ๐ผ๐ป ๐๐ผ๐ป๐๐ฟ๐ผ๐น: Docker, Singularity, Gitโ ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐ฃ๐ฟ๐ผ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐: Statistical Analysis, Regression, Predictive Analytics, Hypothesis Testing๐ ๐๐ฒ๐ ๐๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐บ๐ฒ๐ป๐๐:โ Developed an advanced algorithm using Bayesian Blocks and Pandas, enhancing predictive analyses accuracy and expanding datasets by 10%.โ Streamlined data workflows at DESY, automating processes to reduce manual analysis time by 92%, significantly boosting productivity.โ Engineered ETL processes at Max-Planck Institute, managing over 10 TB of data and reducing processing time by 60%.โ Deployed time-series reduction pipeline using Docker and Singularity, enhancing system performance and data collection efficiency.๐ At the Max-Planck Institute, I collaborated with interdisciplinary teams to analyze and interpret complex datasets, fostering collaborative problem-solving. I developed and deployed a time-series reduction pipeline using Docker and Singularity, enhancing system performance and data collection efficiency.๐ With a Ph.D. in Astrophysics and a strong background in statistical analysis, time-series analysis, and data visualization, I have a proven track record of contributing to high-profile scientific publications. I am adept at cross-functional collaboration and strategic planning, with a focus on enhancing data processing efficiency and ensuring high-quality data integrity.๐กIt would be great to connect! I also enjoy growing my network - so please feel free to reach out anytime.
Listed skills include Data Analysis, Physics, Programming, Python, and 32 others.
Eleni Graikou's current company
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Eleni Graikou work experience
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Data Scientist
- Developed and validated an advanced algorithm integrating Bayesian Blocks and Pandas to model significant amplitude variation patterns or "flares" within time-series data, expanding the dataset by 10%, enhancing the.
- Streamlined data workflows and automated key processes to reduce manual analysis time by 92%, reducing turnaround times for critical research projects, allowing researchers to concentrate on high-level analysis and.
- Engineered and executed ETL/ELT processes using JSON and Pandas to manage over 10 TB of structured data, decreasing processing time by 60%, increasing productivity by 40%, enhancing data pipeline efficiency, enabling.
- Led weekly meetings with interdisciplinary teams to analyze and interpret large complex datasets, fostering collaborative problem-solving, knowledge sharing, partnering with colleagues to complete root-cause analysis.
- Created, maintained, and presented progress reports, dashboards, data visualizations using Matplotlib, Jupyter Notebooks, PowerPoint presentations, ensuring clear communication of findings, insights for senior.
- Implemented strategic adjustments to project workflows, resulting in a 25% reduction in project completion time. Ensured the timely delivery of high-quality, publishable research outcomes, solidifying DESY's standing.
Research Scientist
- Collaborated with data scientists and engineers to evaluate a novel hardware/software time-series recording system using statistical methodologies, such as regression, t-tests; produced data visualization reports for.
- Provided actionable insights through identifying bottlenecks in data processing, recommending improvements in data retrieval methods, enhancing system performance by 1.5 times, improving data collection and analysis.
- Streamlined the development and deployment of the time-series reduction pipeline using Docker and Singularity images with essential software, Python libraries, significantly reducing setup time, ensuring a consistent.
- Increased user rate by 75%, reduced data reduction task time by 50%, significantly boosting team productivity.
- Developed spreadsheet and dashboard reports to monitor time-series recording failure rates, identifying and fixing root causes, reducing failures to less than 2%, enhancing overall data reliability, leading to more.
- Selected alongside three other scientists to present the group's scientific discoveries and future strategy to the Scientific Advisory Board, successfully receiving the maximum possible funding, securing a grant for.
Ph.D. Researcher
- Led data management for EPTA collaboration at Effelsberg 100-m radio telescope, coordinating observation schedules, writing proposals, managing an 80 TB dataset in SQL database; demonstrated skills in leadership.
- Produced a reliable dataset supporting 10+ scientists, driving breakthroughs across projects, securing additional funding.
- Conducted monthly data quality assessments using model fitting, chi-square tests, ensuring data integrity and consistency.
- Provided high-quality datasets to five international scientific groups, contributing to 15 peer-reviewed publications.
- Enhanced collaboration's observing strategy with advanced scheduling algorithms and refined data collection methods, resulting in a 15% increase in data accuracy and efficiency, enhancing reproducibility and.
- Mentored junior colleagues, focusing on improving technical skills, research methodologies, resulting in a 20% decrease in task hours and successful completion of high-impact projects.
Colleagues at MX
Other employees you can reach at mx.com. View company contacts for 723 employees →
Marcus Griffin
Colleague at Mx
Draper, Utah, United States, United States
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HP
Haley Perkins
Colleague at Mx
San Diego Metropolitan Area, United States
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CL
Clarissa Lawson
Colleague at Mx
Pleasant Grove, Utah, United States, United States
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YH
Yue He
Colleague at Mx
Anhui, China, China
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KK
Karmen Kaufmann
Colleague at Mx
New York, New York, United States, United States
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ME
Mercedes Evans
Colleague at Mx
Orem, Utah, United States, United States
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KK
Kai Kin Peng
Colleague at Mx
Hong Kong, Hong Kong SAR, Hong Kong
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AR
Arturo Rivas
Colleague at Mx
Lima Metropolitan Area, Peru
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NP
Nivaldo Pereira De. Souza
Colleague at Mx
Juiz De Fora, Minas Gerais, Brazil, Brazil
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JL
Jose Luis
Colleague at Mx
Mรฉrida, Yucatรกn, Mexico, Mexico
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Eleni Graikou education
Doctor Of Philosophy - Phd, Astronomy And Astrophysics, Magna Cum Laude
Master'S Degree, Computational Physics
Bachelor'S Degree, Physics
Frequently asked questions about Eleni Graikou
Quick answers generated from the profile data available on this page.
What company does Eleni Graikou work for?
Eleni Graikou works for MX.
What is Eleni Graikou's role at MX?
Eleni Graikou is listed as Data scientist | Astrophysicist Ph.D. at MX.
Where is Eleni Graikou based?
Eleni Graikou is based in Austin, Texas Metropolitan Area, United States while working with MX.
What companies has Eleni Graikou worked for?
Eleni Graikou has worked for Mx, Desy, Max-Planck-Institut Fรผr Radioastronomie, and Mpifr.
Who are Eleni Graikou's colleagues at MX?
Eleni Graikou's colleagues at MX include Marcus Griffin, Haley Perkins, Clarissa Lawson, Yue He, and Karmen Kaufmann.
How can I contact Eleni Graikou?
You can use AeroLeads to view verified contact signals for Eleni Graikou at MX, including work email, phone, and LinkedIn data when available.
What schools did Eleni Graikou attend?
Eleni Graikou holds Doctor Of Philosophy - Phd, Astronomy And Astrophysics, Magna Cum Laude from The University Of Bonn.
What skills is Eleni Graikou known for?
Eleni Graikou is listed with skills including Data Analysis, Physics, Programming, Python, Scientific Writing, Research, Science, and Statistics.
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