Summary
Overview
Work History
Education
Skills
Publications
References
Timeline
Generic

Farnoosh Sheikhi

Palo Alto,CA

Summary

Results driven and detail-oriented Senior Data Scientist with over 10 years of experience in data reporting and analytics. Demonstrated expertise in managing teams, developing analytical solutions, and ensuring data quality.

Overview

13
13
years of professional experience

Work History

Senior Bioinformatics Data Scientist

Stanford Health Care
06.2024 - Current
  • Streamlined data collection methods to minimize analysis errors.
  • Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
  • Evaluated emerging technologies to assess potential applications within the organization''s existing infrastructure or future projects.
  • Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.

Senior Data Scientist

Quest Diagnostics
05.2017 - 05.2024
  • Leading advanced statistical analytics for complex business problems including inferential, exploratory data analysis, and predictive analytics.
  • Leading modeling efforts for high cost claims from conceptualization to implementation including machine learning algorithm, tree-based models, deep learning, linear models, and unsupervised methods.
  • Developing intricate algorithms based on deep-dive statistical analysis and predictive data modeling to flag at risk disease individuals.
  • Analyzed large datasets to identify trends and patterns in customer behaviors utilizing R programming and feature selection algorithms.
  • Collaborating with stakeholders to identify endpoints that could help using generative AI.
  • Developing automation of business and reporting solutions, ensuring consistency and coherency of output.
  • Reviewing and approving advanced statistical methods, ensuring adherence to assumptions and best practices for clinical trials according to FDA guidelines.
  • Collaborating with cross-functional teams within R&D to support biostatistics activities.
  • Summarizing and communicating complex ideas/assumptions and presenting findings effectively using data and storytelling to a diverse set of partners.
  • Participated in 2021 Datathon to predict turn-around time at laboratories and placed second amongst 100 individuals.

Senior Biostatistician

Stanford School of Medicine
01.2014 - 08.2017
  • Conducted statistical analysis on clinical data sets such as longitudinal studies, clinical trials and various interventional studies.
  • Developed statistical analysis plan for assigned project and evaluated the statistical methods and procedures to ensure validity, efficiency, and accuracy.
  • Coordinated data quality of Evaluation Science Unit research database and responsible for the development, documentation and archival of analytic datasets.
  • Consulted with investigators on appropriate statistical approaches to data analyses, assigning in study design and proposal development.
  • Leading statistic section in weekly meetings with physicians and scientists.
  • Wrote methods and results for publications, presentations, and weekly meetings.
  • Developed and delivered training programs for interns, enhancing their skills in statistical programming languages and data visualization tools.
  • Monitored clinical trials or experiments to verify adherence to established procedures and quality of data collected.
  • Designed surveys to assess health issues and developed and implemented data analysis algorithms.
  • Analyzed archival data such as birth, death and disease records for internal medicine research.
  • Drew conclusions based on data summaries or visualizations.
  • Analyzed clinical and survey data by using statistical approaches such as mixed effect modeling, logistic regression analysis and difference in difference analysis.

Statistical Data Analyst

HBI Solutions
05.2012 - 09.2013
  • Performed and conducted statistical modelling on clinical data which led to prediction for high-risk patients in emergency rooms.
  • Developed and implemented algorithms with high accuracy and low prediction error to forecast 30-days readmissions.
  • Research and data mining on electronic medical records to optimize predictive algorithms.
  • Coordinated with programmers to maintain database integrity.
  • Demonstrated and interpreted statistical outputs for physicians.
  • Collaborated with a diverse team to create study designs for various projects.
  • Skilled at working independently and collaboratively in a team environment.
  • Used critical thinking to break down problems, evaluate solutions and make decisions.

Education

M.S. Statistics -

San Jose State University
01.2014

B.S. Physics -

University of Tehran
01.2004

Skills

  • Statistical Analysis, Predictive Modeling, A/B Tests
  • Data Science Research Methods, Quasi Experimental Methods, Observational Methods
  • Machine Learning Algorithms, Supervised, Unsupervised
  • Clinical Trial, FDA guidelines, CSLI
  • R, SAS, SQL, Python
  • Tableau, Power BI

Publications

  • Prenatal Cell-Free DNA Screening for Fetal Aneuploidy In Pregnant Women At Average Or High Risk: Results From A Large US Clinical Laboratory. Molecular Genetics & Genomic Medicine
  • Cerebrospinal fluid AΒ 42 , total tau, and phosphorylated tau in the evaluation of Alzheimer’s dementia. Journal of the Alzheimer’s Association
  • Tissue Immunofluorescence Confirmation of CNS Autoantibodies Identified by Immunoblot or Cell-Based Assay. Journal of Clinical Microbiology
  • Detection of SARS-CoV-2 IgG Targeting Nucleocapsid or Spike Protein by Four High Throughput Immunoassays Authorized for Emergency Use. Journal of Clinical Microbiology
  • Electronic Release of Pathology and Radiology Results to Patients: Opinions and Experiences of Oncologists. American Society of Clinical Oncology
  • Personality, Environmental Stressors, And Diarrhea in Rhesus Macaques: An Interactionist Perspective. American Journal of Primatology
  • Factors Associated with Delayed Discharge on General Medicine Service at an Academic Medical Center. Journal for Healthcare Quality
  • Development of a Tailored Survey to Evaluate a Patient-Centered Initiative. The American Journal of Managed Care
  • Oncologists Opinions and Experiences with Electronic Release of Radiology and Pathology Results To Patients. American Society of Clinical Oncology
  • AKI (Acute Kidney Injury) in Hospitalized Children: Epidemiology and Clinical Associations in a National Cohort. Clinical Journal of the American Society of Nephrology
  • Using Lean Management to Reduce Emergency Department Length of Stay for Medicine Admissions. Journal of Hospital Medicine
  • Inpatient Hospital Factors and Resident Time with Patients and Families. Journal of Pediatric
  • Prediction of Future Medical Costs by Modifiable Measures of Health. ClinicoEconomics and Outcomes Research
  • Association of MPO levels with markers of kidney function and liver fibrosis according to ASCVD risk and intensity of therapy in a workforce population. (Submitted)
  • Employer-sponsored health risk assessments with laboratory data predict multiple incident diseases in a 5-year prospective period. (Submitted)

References

Upon request

Timeline

Senior Bioinformatics Data Scientist

Stanford Health Care
06.2024 - Current

Senior Data Scientist

Quest Diagnostics
05.2017 - 05.2024

Senior Biostatistician

Stanford School of Medicine
01.2014 - 08.2017

Statistical Data Analyst

HBI Solutions
05.2012 - 09.2013

M.S. Statistics -

San Jose State University

B.S. Physics -

University of Tehran
Farnoosh Sheikhi