Anuj Ojha, Ph.D.
Data Scientist | Machine Learning | Biostatistics | Healthcare Analytics
About Me
I am a Data Scientist with over 5 years of experience in data science, biostatistics, and machine learning, specializing in healthcare and biomedical data. During my Ph.D., I worked on developing predictive models and data-driven solutions for cancer research and clinical data analysis.
My work focuses on applying machine learning, statistical modeling, and bioinformatics approaches to analyze large-scale biomedical datasets, including RNA-seq and multi-omics data. I have experience building predictive models, performing survival analysis, and developing reproducible data science workflows using R and Python.
Previously, I worked as a Data Analyst at Florida International University, where I analyzed healthcare and COVID-19 datasets, developed dashboards, and conducted geospatial analytics to support healthcare decision-making.
I am passionate about leveraging data science and machine learning to solve complex healthcare challenges and improve patient outcomes.
Research & Professional Interests
- Machine Learning & Predictive Modeling
- Data Science & Statistical Modeling
- Biostatistics & Survival Analysis
- Healthcare & Clinical Data Analytics
- Cancer Genomics & Precision Medicine
- RNA-seq & Multi-omics Data Analysis
- Bioinformatics & Computational Biology
- Deep Learning for Biomedical Data
- Natural Language Processing for Healthcare Data
- Data Visualization & Scientific Communication
- Reproducible Research & Data Pipelines
Technical Expertise
Programming:
R • Python • SQL • SAS • MATLAB • C
Data Science & Machine Learning:
Statistical Modeling • Predictive Modeling • Survival Analysis • Classification • Regression • Clustering • Feature Engineering
Biostatistics & Healthcare Analytics:
Clinical Data Analysis • Healthcare Data Analytics • Community Health Data • Survival Analysis • Epidemiological Analysis • Public Health Data Analysis
Bioinformatics & Genomics:
RNA-seq Analysis • Differential Gene Expression • Gene Ontology • Pathway Enrichment • Multi-omics Analysis
Data Visualization:
Tableau • PowerBI • ggplot2 • matplotlib • seaborn • Excel