Sanjana Malla
Chicago,IL
Summary
Adept at leveraging Python and R Studio for predictive modeling and data analysis, I significantly enhanced clinical decision-making at Northwestern University. My collaborative skills, combined with expertise in statistical modeling, have driven impactful studies in neurology, ensuring efficient fund utilization and advancing patient care methodologies.
Overview
5
5
years of professional experience
Work History
Quantitative Research Coordinator
Northwestern University
Chicago, IL
07.2024 - Current
- Developed predictive models using R and Python to analyze large datasets, forecast patient outcomes, and support data-driven clinical decision-making.
- Conducted statistical data analysis to identify patterns and trends in patient outcomes, treatment efficacy, and disease progression in neurology and neurosurgery populations.
- Collaborated with clinicians, researchers, and data scientists to design and implement data-driven studies aimed at improving patient outcomes.
Quantitative Research Coordinator
George Washington Medical Faculty Associates
Washington, DC
06.2023 - 06.2024
- Monitored expenditures against grant budgets to ensure efficient use of funds allocated for research activities.
- Developed study protocols and data collection tools, ensuring compliance with regulatory standards.
- Evaluated treatment costs to develop effective pricing strategies and enhance financial forecasting accuracy.
Research Assistant Intern
National Institutes of Health
Bethesda, MD
06.2021 - 07.2022
- Utilized R Studio for single-cell RNA sequencing to analyze and interpret data.
- Conducted signature gene identification to validate the effectiveness of neurovascular cell isolation using bioinformatics tools.
- Explored alternative metrics for datasets, including cell health determined by mitochondrial gene expression using UMAP.
- Utilized feature plots to visualize feature expression in PCA plots.
Undergraduate Research Assistant
Georgetown University
Washington , District of Columbia
09.2019 - 05.2022
- Conducted research on developing a flexible univariate moving average time-series model for dispersed count data
- Highlighted the properties of the SCMPMA model and demonstrated its flexibility through simulated data examples.
Education
Master of Science - Biophysics
Georgetown University
Washington, DC05-2023
Bachelor of Arts - Mathematics
Georgetown University
Washington, DC05-2022
Bachelor of Arts - Psychology
Georgetown University
Washington, DC05-2022
High School Diploma -
North Rockland High School
Thiells, NY06-2018
Skills
- Python
- R Studio
- MATLAB
- SAS
- Stata
- Statistical Modeling and Data Analysis
- Regression analysis
- Time series analysis
Languages
English
Native/ Bilingual
Telugu
Native/ Bilingual
Spanish
Full Professional
Timeline
Quantitative Research Coordinator
Northwestern University
07.2024 - Current
Quantitative Research Coordinator
George Washington Medical Faculty Associates
06.2023 - 06.2024
Research Assistant Intern
National Institutes of Health
06.2021 - 07.2022
Undergraduate Research Assistant
Georgetown University
09.2019 - 05.2022
Master of Science - Biophysics
Georgetown University
Bachelor of Arts - Mathematics
Georgetown University
Bachelor of Arts - Psychology
Georgetown University
High School Diploma -
North Rockland High School
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