Human-Free HR | Grant Wiersum

Human-Free HR
More Human Than Human (Resources)

For Applicants:

Maybe we don't have to spam resumes into the void. If your resume is going to be screened by AI, you may as well see what it sees. This tool gives you a line-wise breakdown of which lines to keep and which ones to re-consider.

For Hiring Managers:

So you don't have a dedicated HR rep. Or maybe you are an HR rep. Is there an objective way to tell if an applicant is qualified? Can you actually rank thousands of applicants based on experience? This tool gives a line-by-line analysis of how your job description matches their experience.

To get started, just paste in a job description and resume, or feel free to use mine.

Master’s in Data Science and A.I.  – Northwestern University, August 2023, GPA 3.7 Natural Language Processing of BioRxiv – Used BioRxiv API to download one year of scholarly pre-print abstracts. Applied the BERT Large-Language Model (LLM) to tokenize abstracts. Built a network of authors based on co-authorship. Created an intelligible 2-dimensional map using UMAP. Alignment-Free RNA-Seq Deconvolution – Accessed Sequence Read Archive to download a benchmark dataset. Used samtools to pre-process data. Developed a novel artificial-neural-network based tokenizer to reduce dimensionality of RNA-seq data. Successfully demonstrated efficiency, accuracy and recall of technique in identifying kidney-cell subtypes. Hedonic Modeling of Craigslist Apartment Listings – Developed a Selenium-based web-scraper. Scraped entirety of Chicago-area Craigslist apartment listings. Organized, cleaned and tabulated available attributes. Developed an economic model to determine the impacts of each property attribute on rent prices. Predicted return-on-investment of renovations and hypothetical listing prices. Bachelor's Degree in Biology – Loyola University Chicago, December 2014  Relevant Skills Programming and scripting in R, Python, Java and SQL-like systems (Oracle, NoSql etc.).  Advanced expertise in data analysis including natural language and applied AI. High level of competence with Pytorch, Scikit-learn, Matplotlib, Numpy/Cupy and Microsoft Excel.  Professional Experience Abbvie - Target Enabling Technologies Scientist - Small Molecule Protein Biochemistry (Contract)                 January– December 2022. Proposed technical fixes to improve data quality and consistency in a SQL-based LIMS system.  Developed a generative machine-learning model to propose candidate RNA aptamers using high-throughput sequencing results Collaborated with project owners to gather and understand research requirements and translate them into analytical tasks. Instructed other scientists in best practices for rigorous statistical analysis and experimental design.  Northwestern University Feinberg School of Medicine  Center for Structural Genomics and Infectious Disease Laboratory Technician                                                                      March 2018 – December 2021 Presented, delivered and interpreted information amongst research team members working in a collaborative, goal-driven environment. Compared performance of existing pipeline to a potential synthetic-DNA-based approach leading to substantial savings in both time and expense. Served as a technical resource to overcome challenges experienced by collaborators.  Abbott Laboratories - Diagnostics Division Associate Scientist - Assay Development (Contract)                        February 2017 – March 2018 Tested accuracy and precision of experimental biochemical assays. Analyzed performance of high-throughput assays to evaluate precision and accuracy. Established standard operating procedure for guardband testing and instructed other scientists in carrying out protocols.

Run HR-A-Tron

Helvetica Light is an easy-to-read font, with tall and narrow letters, that works well on almost every site.

Human-Free HR More Human Than Human (Resources)

Human-Free HR
More Human Than Human (Resources)