Anuj Ojha
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Professional Experience

Graduate Research Assistant

University of Toledo, Toledo, OH
Aug 2022 – Present

  • Developed machine learning and statistical models for cancer survival prediction using RNA-seq and multi-omics datasets
  • Conducted statistical analysis using R, Python, and SQL to extract insights from large-scale biomedical datasets
  • Built Cox proportional hazards models and survival prediction models using gene expression data
  • Performed differential gene expression analysis and pathway enrichment analysis
  • Applied machine learning algorithms for predictive modeling and classification tasks
  • Analyzed Next Generation Sequencing (NGS) and RNA-seq datasets for biomarker discovery
  • Conducted Gene Ontology and pathway enrichment analysis to interpret biological significance
  • Integrated data from public biomedical databases including NCBI, UCSC, UniProt, and STRING
  • Developed reproducible data analysis workflows using R and Python
  • Created data visualizations and statistical summaries for publications and presentations
  • Collaborated with multidisciplinary teams including biologists, clinicians, and data scientists
  • Mentored students in data science, machine learning, and statistical modeling techniques
  • Contributed to manuscript writing, grant proposals, and research publications

Graduate Teaching Assistant

University of Toledo, Toledo, OH
Jan 2022 – Aug 2022

  • Assisted in teaching Medical IoT and data-driven healthcare technologies
  • Supported students in data analysis, programming, and project development
  • Assisted in grading assignments and evaluating student performance
  • Provided technical support for data analysis and IoT-based projects
  • Guided students in research design and data interpretation

Data Analyst

Florida International University – Herbert Wertheim College of Medicine, Miami, FL
Nov 2020 – Jan 2022

  • Performed healthcare data analysis using Python, R, SQL, and Excel
  • Developed statistical reports and dashboards for healthcare quality improvement initiatives
  • Conducted descriptive and inferential statistical analysis for clinical and community health data
  • Analyzed COVID-19 datasets to support decision-making and reporting
  • Built data pipelines and automated reporting workflows
  • Created data visualizations and dashboards using Tableau and PowerBI
  • Conducted geospatial data analysis using ArcGIS for healthcare service distribution
  • Applied statistical modeling techniques to evaluate healthcare outcomes
  • Worked with HIPAA-compliant healthcare datasets
  • Collaborated with stakeholders to translate business requirements into analytical solutions
  • Presented analytical findings to leadership and stakeholders

Graduate Assistant

Grand Valley State University, Grand Rapids, MI
Jan 2017 – April 2018

  • Performed data analysis and reporting using R and SAS
  • Developed tables, dashboards, and reports for academic datasets
  • Cleaned and processed datasets for analysis and visualization
  • Supported website development and data integration
  • Collaborated with faculty on data-driven projects

Biomedical Engineer

Nepalese Army Institute of Health Sciences, Kathmandu, Nepal
Jan 2015 – July 2016

  • Analyzed healthcare operational data and generated reports
  • Developed technical and analytical reports for stakeholders
  • Conducted data-driven evaluation of equipment performance
  • Collaborated with cross-functional teams for process improvements
  • Created documentation and technical reports