Curriculum Vitae Statistician in Israel Jerusalem – Free Word Template Download with AI

Personal Information

Name: David Ben-Aryeh
Email: [email protected]
Phone: +972-52-1234567
Address: Jerusalem, Israel

Professional Summary

A highly motivated and detail-oriented Statistician with extensive experience in data analysis, research methodology, and statistical modeling. Specializing in leveraging data to drive informed decision-making across academic, governmental, and corporate sectors. Committed to advancing statistical practices within the vibrant academic community of Israel Jerusalem. Proven expertise in analyzing complex datasets to support policy development, public health initiatives, and technological innovation in the region.

Education

Bachelor of Science in Statistics

Hebrew University of Jerusalem
Jerusalem, Israel
Graduated: 2010

Master of Science in Biostatistics

Technion - Israel Institute of Technology
Haifa, Israel
Graduated: 2013

Doctor of Philosophy in Data Science and Statistics (PhD)

The Hebrew University of Jerusalem
Jerusalem, Israel
Graduated: 2017

Work Experience

Senior Statistician

Israel Ministry of Health
Jerusalem, Israel
January 2018 – Present

• Design and implement statistical models to analyze public health trends in Israel Jerusalem and surrounding regions.
• Collaborate with epidemiologists to evaluate the effectiveness of healthcare interventions.
• Provide data-driven insights for policy development, including vaccination programs and disease surveillance systems.

Research Statistician

The Hebrew University of Jerusalem, Institute of Statistics
Jerusalem, Israel
August 2015 – December 2017

• Conducted statistical research on demographic changes in Israel's urban centers, with a focus on Jerusalem.
• Published peer-reviewed articles in journals such as "Journal of Israeli Statistical Studies."
• Advised graduate students on advanced statistical methodologies and data analysis techniques.

Data Analyst

Teva Pharmaceuticals Industries Ltd.
Petah Tikva, Israel
June 2013 – July 2015

• Processed and analyzed clinical trial data to support drug development projects.
• Created visualizations and reports for stakeholders to improve decision-making processes.
• Collaborated with cross-functional teams to ensure data accuracy and regulatory compliance.

Skills

• Statistical Software: R, Python (Pandas, NumPy), SPSS, SAS, Stata
• Data Visualization: Tableau, Power BI, ggplot2
• Machine Learning: Regression analysis, clustering algorithms (K-means), predictive modeling
• Research Methods: Experimental design, survey methodology, longitudinal studies
• Languages: Hebrew (fluent), English (proficient), Arabic (basic)

Certifications

• Certified Statistician – Israeli Statistical Society, 2019
• Advanced R Programming – DataCamp, 2021
• Data Science Specialization – Coursera (Johns Hopkins University), 2020

Projects/Research Experience

Urban Development Analysis in Jerusalem

Hebrew University of Jerusalem, 2016–2017

• Analyzed socioeconomic data to assess urban growth patterns in Israel Jerusalem.
• Developed predictive models to forecast infrastructure needs for the city's expanding population.

Public Health Surveillance System

Israel Ministry of Health, 2019–2021

• Designed a real-time data monitoring system to track infectious disease outbreaks.
• Improved response times for public health crises by 30% through optimized statistical workflows.

Biostatistical Research on Cancer Trends

Technion - Israel Institute of Technology, 2014–2015

• Analyzed cancer incidence rates across Israeli demographics, highlighting disparities in treatment access.
• Published findings in the "Israeli Journal of Public Health."

Languages

• Hebrew – Native
• English – Fluent (IELTS 7.5)
• Arabic – Basic (reading and writing)

Additional Information

• Professional Affiliations: Israeli Statistical Society, American Statistical Association
• Volunteer Work: Mentor for statistics students at the Hebrew University of Jerusalem (2018–Present)
• Public Speaking: Presented at the 2020 Israel Jerusalem Data Science Conference on "Leveraging Big Data for Urban Planning."

References

Available upon request.