Rashmi Basniwal
@rashmibasniwal
Graduate-level statistician specializing in predictive modeling and reproducible analysis.
What I'm looking for
I am a graduate-level statistician with hands-on experience in regression modeling, multivariate analysis, classification, and PCA. I apply statistical theory to practical problems and emphasize reproducible, well-documented workflows.
I've used R, SAS, and SQL to perform end-to-end data analysis from cleaning and diagnostics to model development and reporting. My technical toolbox also includes Python (basic), MATLAB, LaTeX, and visualization tools like Power BI.
In internships and academic projects I developed predictive models and automated data pipelines that improved process efficiency and reduced defects, while producing clear visualizations and technical reports to support decision-making. Notable outcomes include high predictive accuracy in a clinical classification project and measurable production improvements during an industrial research internship.
I hold a Master of Science in Statistics and relevant industry certifications, and I bring strong communication skills, a commitment to reproducibility, and a collaborative mindset to cross-functional teams.
Experience
Work history, roles, and key accomplishments
Graduate Researcher
Texas Tech University
Jan 2023 - Jul 2025 (2 years 6 months)
Conducted master's research on heart disease classification and multiple projects in regression and PCA, achieving up to 96% predictive accuracy and improving workflow efficiency by 30% through automated pipelines and robust feature selection.
Statistical Research Intern
National Fertilizers Limited
May 2024 - Aug 2024 (3 months)
Analyzed 5,000+ rows of production and quality data to identify bottlenecks, reducing downtime by 12% and improving process deviation detection by 15%; developed predictive models that increased process optimization efficiency by 18% and decreased defects by 10%.
Education
Degrees, certifications, and relevant coursework
Texas Tech University
Master of Science, Statistics
2023 - 2025
Activities and societies: Master's research projects on heart disease classification, fuel efficiency regression, and wine quality analysis; use of R, SAS, SQL, and visualization tools.
Pursued a Master of Science in Statistics with coursework and projects in regression modeling, multivariate analysis, classification, and PCA, including applied machine learning and reproducible data pipelines.
Availability
Location
Authorized to work in
Job categories
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