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Statistician | United States New York City


Phone: (212) 555-0198
Email: [email protected]
Location: New York, NY, United States

A dedicated and experienced Statistician with over 8 years of expertise in data analysis, statistical modeling, and research methodologies. Specializing in leveraging data-driven insights to solve complex problems across industries such as healthcare, finance, and urban development. As a Statistician based in the United States New York City area, I have collaborated with leading organizations to optimize decision-making processes through rigorous statistical analysis. My work aligns with the dynamic demands of New York City’s diverse economic landscape, where precision and innovation are critical for success. I am passionate about applying advanced statistical techniques to address real-world challenges and contribute to the growth of data-centric industries in the United States.

  • Data Analysis: R, Python (Pandas, NumPy), SQL, SPSS
  • Statistical Methods: Regression Analysis, Hypothesis Testing, Time Series Forecasting
  • Data Visualization: Tableau, Power BI, Matplotlib/Seaborn (Python)
  • Miscellaneous: Machine Learning (Scikit-learn), Cloud Platforms (AWS), Statistical Software (SAS)

Senior Statistician

HealthData Analytics Inc. | New York, NY, United States
January 2020 – Present

  • Lead statistical analysis for public health initiatives in the United States New York City area, including pandemic response and vaccination efficacy studies.
  • Developed predictive models to forecast disease spread using time series analysis, aiding policymakers in resource allocation.
  • Collaborated with urban planners to analyze socioeconomic data and identify trends impacting healthcare access in NYC neighborhoods.
  • Presented findings to stakeholders through interactive dashboards using Tableau, ensuring clear communication of statistical insights.

Statistical Analyst

CitiGroup | New York, NY, United States
June 2016 – December 2019

  • Applied statistical modeling to assess financial risks and optimize investment strategies for clients in the United States.
  • Analyzed large datasets using Python and SQL to identify market trends, contributing to a 15% improvement in portfolio performance.
  • Developed A/B testing frameworks for marketing campaigns, resulting in a 20% increase in customer engagement.
  • Partnered with data science teams to integrate machine learning algorithms into financial forecasting models.

Junior Statistician

New York City Department of Health and Mental Hygiene | New York, NY, United States
September 2014 – May 2016

  • Conducted statistical analysis on public health data to support policy development in the United States New York City.
  • Created visualizations and reports for city officials, highlighting disparities in healthcare access across boroughs.
  • Collaborated with researchers to design surveys and collect data on behavioral health trends in NYC communities.
  • Published a study on the impact of air quality on respiratory illnesses, cited by local media outlets.

Master of Science in Statistics
Columbia University, New York, NY
Graduated: May 2014

Bachelor of Arts in Mathematics
New York University (NYU), New York, NY
Graduated: June 2011

  • Google Cloud Certified - Professional Data Engineer (2023)
  • SAS Certified Statistical Business Analyst (2019)
  • Statistical Methods for Data Analysis, Coursera (2018)
  • NYC Data Science Academy Certification in Python and Machine Learning (2017)

"Analyzing Public Transportation Efficiency in New York City" – Published in the Journal of Urban Data Science (2021). This project used spatial statistics to optimize subway routes, reducing average commute times by 10%.

"Healthcare Disparities in NYC: A Statistical Perspective" – Presented at the American Statistical Association Conference (2020). The analysis highlighted inequities in access to care and informed local policy reforms.

  • Fluent in English
  • Proficient in Spanish
  • Active Member of the American Statistical Association (ASA)
  • Volunteer Statistician for NYC Nonprofits

© 2023 John Doe | Statistician in the United States New York City

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