Camellia Hilker Statistical Data Scientist

C o n t a c t

ad0cxf@r.postjobfree.com

260-***-****

camelliahilker

camhilker

Chicago, IL 60130

A b o u t M e

Data Scientist specializing in biological

assay data and genome sequences. 7+

years experience with Python, but also

comfortable programming R and

RStudio. App development experience in

Flask/Django. Previous experience as a

PCR microbiology lab technician.

Data Science/Development: Python,

Linux/Unix/BASH, Flask, sci-kit learn,

matplotlib/Seaborn, Jupyter Notebooks,

HTML, Heroku, Pandas,

Automated web scraping (Selenium),

Natural Language Processing (NLP),

Tableau, pytorch/tensorflow,

Regression Analysis, Plotly/Dash,

Unsupervised Learning, Clustering,

Principal Component Analysis, DataRobot

Bioinformatics: R/RStudio, BLAST,

Bioconductor, BioPython, PubMed/GEO,

PLINK, STRUCTURE

Microbiology: PCR, ELISA,

Liquid-handling robots,

Media Preparation, Pour-plate Methods,

Aseptic technique,

Microbial ID Confirmation

S k i l l s

A w a r d s

Metis ·

Completion of Data Science Intensive

Aug.

2019

12-week Python-based Data Science Intensive

Illinois Department of Public Health ·

Colisure Certification

Sept.

2018

Proficiency in coliform/E. coli water safety

testing

Loyola University Chicago ·

Research Mentoring Fellowship

May

2012

Conducted research under Dr. Patrick

Daubenmire, Department of Chemistry

E x p e r i e n c e

Jan. 2022 to Current WCG - KMR Group Chicago, IL

Senior Statistical Data Analyst

Prepared graphs and figures for reports relating to clinical trial yearly metrics for major pharmaceutical companies.

Ran statistical analysis and regression models in both R and Python to support findings

Utilized Python packages such as Selenium to mine publicly-available clinical trial data in order to bolster datasets

May 2021 to Dec. 2021 Luminex - DiaSorin Northbrook, IL Scientist I - Data Analyst

Developed a full-stack interface using Python Flask for storing internal QC data.

Created dashboards and various interactive data visualizations using Tableau/Plotly/Seaborn.

Conducted statistical analyses in order to inform decisions on the stability of reagents.

Constructed machine learning models to suggest root causes of assay and equipment failures.

Jan. 2020 to May 2021 Argonne National Laboratory Lemont, IL Data Scientist

Involved in various projects that use deep learning and/or machine learning to analyze genomic sequence and gene expression data, utilized and mined data such as 16s and 18s rRNA, Affymetrix Human Genome Arrays, and Illumina Sequencing

Topics include terrestrial metagenomic research, ancestry prediction, and mutational signatures.

Scripted custom programs for data curation using bash Experience with command line parallel programming

Jan. 2017 to June 2019 Matrix Sciences - Northland Laboratories Mount Prospect, IL Microbiology Technician II

Processed samples via PCR and ELISA for the detection of Salmonella genus, L. monocytogenes, and E. coli O157H7

Prepared media, maintained stock cultures and performed biochemical species confirmation assays as referenced by FDA, ISO, USP, and CMMEF Knowledge of setup, operation, and maintenance of liquid handling robots

Performed analysis of results and communicated findings to clients Jan. 2013 to July 2014 Loyola University Chicago Dept. of Chemistry Chicago, IL Undergraduate Researcher

Experience working with human subjects in a research study (CITI certification)

Presented research at Loyola University symposiums and meetings Assisted with proofreading and side research for dissertation publication of PhD candidate

Developed NLP-like techniques for analyzing interview text data E d u c a t i o n

Brandeis University Aug. 2016 to May 2019

Master of Science Bioinformatics 2019

Loyola University Chicago Aug. 2010 to May 2014

Bachelor of Science Biology 2014

Contact this candidate