Data Science, Machine Learning, Computational Biology

Prineet Kaur Email: ********@*****.***

https://www.linkedin.com/in/prineet-kaur Mobile: 408-***-****

Education

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University of Chicago Chicago, IL

Master of Science in Biomedical Informatics; GPA: 3.9 Aug 2024

Thesis: Meta-Analysis of IRF8 in Immune Cells – Focused on bioinformatics workflow, multi-omics data, and healthcare applications of genomics.

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San Jose State University San Jose, CA

Bachelor of Science in Biology (System Physiology and Chemistry); GPA: 3.5 May 2021 Certification

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MIT IDSS

Data Science and Machine Learning: Making Data–Driven Decisions Aug 2025 Technical Skills

• Programming Languages: Python (NGS scripting), R, SQL, Unix, Bash

• Bioinformatics Tools: Nextflow, GATK, Samtools, BWA, Snakemake, FastQC, MultiQC Seurat, ENCODE, ABC Model, CRISPR screen analysis, GWAS tools, Linux-based HPC, DESeq2, EdgeR

• Statistical Modeling: Predictive analytics, hypothesis testing, segmentation analysis, survey design, predictive modeling, Monte Carlo method

• Data Analysis: Single cell RNA-seq, CITE-seq, Bulk RNA-Seq, Whole exome-seq

• Data Visualization: Matplotlib, ggplot2, Tableau, functional enrichment tools (GO plot, KEGG)

• Database Management: SQL queries, large-scale genomic databases

• Documentation & Compliance: SOP development, electronic lab records, regulatory compliance, detailed reporting

• Version Control: Git, collaborative software development Experience

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Northwestern University Remote

Computational Biology Intern Oct 2024 - Cont.

High-throughput sequencing analysis: Conducted comprehensive computational analyses of RNA-seq data to study IRF8’s role in immune regulation.

Bioinformatics pipelines: Developed robust pipelines for single-cell and bulk sequencing, improving analysis throughput by 30%.

Multi-omic integration: Mapped regulatory networks in immune cells using integrated datasets.

Meta-analysis: Collaborated on IRF8 meta-analysis leveraging tumor microenvironment data for immune-oncology applications.

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Northwestern University Chicago,IL

Graduate Student Researcher Sep 2023 – Aug 2024

Single-cell RNA-seq analysis: Developed statistical methods to identify cell-cell interactions relevant to disease.

Workflow development: Led bioinformatics workflow development to streamline data processing.

Large-scale data analysis: Analyzed and interpreted datasets for healthcare applications.

Regulatory compliance: Coordinated across teams to ensure compliance and data integrity.

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Cepheid Sunnyvale, CA

Analyst-1 Sept 2021 – Mar 2023

Data analysis: Led projects improving efficiency in molecular diagnostic assay development.

Project management: Managed resource allocation, budget tracking, and performance metrics.

Compliance: Spearheaded SOP documentation and compliance initiatives.

Cross-functional collaboration: Optimized clinical study designs and streamlined protocol adherence. Project Experience

• Tuberculosis Drug Resistance Genomics: Led NGS-based analysis of Mycobacterium tuberculosis clinical isolates to identify mutations linked to drug resistance. Managed DNA extraction, library preparation, Illumina sequencing, and bioinformatics workflows for variant detection and reporting.

• Preclinical Mouse Model Development and Analysis: Designed and conducted in vivo PK/PD studies for experimental cancer therapies. Performed tumor inoculation, dosing, blood collection, and necropsy. Analyzed data using GraphPad Prism and contributed to project reviews.

• Lab Tracker Development — HealthSync Solutions — EPIC MyChart: Directed development and implementation of Lab Tracker to improve lab result tracking in Epic MyChart. Managed project scope, schedules, deliverables, and data validation strategies.

• Genome Analysis Pipeline Development: Developed a genomic analysis pipeline in Python and R for large-scale datasets. Created scripts for preprocessing, quality control, and variant analysis; implemented visualization tools for collaboration.

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