William Green, Ms Email & Phone Number

Mills River, Nc, Us

United States

|- Ingest client data and assess the re-identification risk to patients as per HIPAA Safe Harbor and/or k-anonymity.|- Process and analyze a substantial amount of incoming health-related data.|- - - Datasets ranged in size from 10 MB - 25+ TB.|- - - Explored and introduced new tools for large data manipulation. These tools are used by large parts of the data analyst and data scientist teams.|- Prepare HIPAA disclosure risk assessments.|- - - Work with client to maximize the utility of the data, while minimizing the re-identification risk to patent.|- Contribute to internal package/tool deployment to automate workflow.|- Developed client management, excellent communication skills, and the ability to liaise effectively, both internally and externally, to reach successful project conclusions.|- Requires expertise in:|- - - Statistical probability distributions, bias, error and power as well as sampling and resampling methods.|- - - Python (incl. PySpark), SQL (SnowFlake, Presto SQL, Spark SQL), Bash, numerous AWS tools (EC2, S3, CodeSpace, etc.), cryptography, and LaTeX.|- - - Time management skills and demonstrable experience of prioritizing work to meet tight deadlines.|- - - Working as both part of a team and independently, without supervision as circumstances dictate.|- - - HIPPA and GDPR guidelines.

United States

Remote

• Interrogate and assess client information in terms of the re-identification risk to patients.• Process and analyze large health-related datasets.• Contribute to the subsequent preparation of associated reports.• Complete projects relating to privacy of individuals in data.• Requires expertise in the manipulation, integration, processing and interrogation of large datasets. • Requires expertise in Python as well as the command line, with strong coding skills and annotation protocols.• Requires excellent communication skills. Able to liaise effectively, both internally and externally, to reach successful project conclusions.• Seeks to understand real-world data in context rather than consider it in abstraction.• Well-developed time management skills and demonstrable experience of prioritizing work to meet tight deadlines.• The ability to work both part of a team and independently, without supervision as circumstances dictate.• Strong expertise in HIPPA and GDPR guidelines.

Bristol, Tennessee, United States

• Completed analysis and QC testing in compliance with FDA guidelines in manufacturing, testing, and releasing pharmaceutical products.• Completed documentation and QC testing in compliance with current good manufacturing processes (cGMP) and good documentation practices (GDP).• Use of instruments and techniques such as a Karl-Fischer titration, HPLC, GC/MS, and ICP-MS analysis for assay, impurities, content uniformity, and blend uniformity, pH, specific gravity, and physical testing of each pharmaceutical product.

Johnson City, Tennessee, United States

Certified Data Scientist• Python3o LinkedIn Python fluency badgeo Object-oriented programming (OOP) and A/B testingo Libraries and modules such as:  Scikit-learn, Nltk, Statistics, NumPy, Pandas, DateTime, MatPlotLib, Seaborn, and Requestso Normalization and regularization for ML modelso I am very experienced with TensorFlow and TensorFlow Keraso Known supervised machine learning models: Extreme Gradient Boosting, Linear regression, multiple linear regression, logistic regression, K-nearest neighbor regressor, Native Bayes classifier, decision tree and Random Forest machine learning modules modelso Known unsupervised machine learning models: K-means clustering, K-means++ clustering, Hierarchical clustering• These models include transforming data, as well as preforming principal component analysis (PCA)o Web scraping using BeautifulSoup4 and ScraPy This includes modules such as Regular Expressions as wello Natural language processing using nltk module (includes stemming, tokenizing, lemmatizing, tagging, etc.)o Data visualization in the forms of graphs including (but not limited to) histograms, violin plots, and KDE plots using MatPlotLib and Seaborno Highly proficient in exploratory data analysis (EDA) in big datao Experience with GitHub and Git commits in Python (via IDE)o One-sample T tests, two-sample T tests, ANOVA + Tukey’s Range, Chi2 tests, binomial test, analysis of p-value, analysis expected versus actual data, analysis of standard deviations and stddev ratios• SQL, MySQL, SQLite, and PostgreSQLo Data acquisition queries to pull everything from a broad range of data to very specific data from databaseso Create and join tables from databases for data analysis using Python3o Queries include but are not limited to: JOIN (and all variants), CASE, DISTINCT, UNION, WINDOWS functions (PARTITION BY, OVER, NTILE, etc)o Familiar with different database software to view schemas and tables

Cullowhee, North Carolina, United States

• I taught 2 sections of general chemistry 1 lab (chem 139) each semester I was a graduate student (Including during the COVID-19 pandemic)• Lab experience • Teaching experience • Grading and assignment creation • Problem solving and conflict resolution• Lab management

• General Lab Worko Preforming daily tasks for analysis of experimental data such as autoclave training, SDS page gels, protein purification, protein crystal trays, ethanol sterilization.• Site-Directed Mutagenesiso In vivo experimentation included creating viral stocks, high-titer lysates, antibiotic agar and agar plates, PCR techniques using multiple polymerases, bacterial cell mini-preping, vector & cell cloning, electroporation, bacterial cell infections, cell selection using antibiotic plates, plate and gel imaging, multi-channel pipetting, spot testing, superinfection immunity testing.• Bioinformaticso Remote based work that had a focus on creating phylogenetic trees, identifying primer binding sites, creating forward and reverse primers, identifying conservation in the genome, identifying conservation in the amino acid sequences, identifying required areas of a protein (the ability to truncate part of the protein).o Data analysis of complex protein and enzyme results, sometimes totaling thousands to hundreds of thousands of records.o MySQL and Oracle were in a Linux environment to pull all observation available for data analysis and statistical testing.• Bacteriophage Recombineering of Electroporated DNA (BRED) and CRISPR-Io In vivo experimentation included plaque purifying, vector ligation, binding sgRNA, creating DNA oligonucleotides, creating and maintaining electrocompetent and chemically competent bacterial cells, gene deletion, gene silencing.

Master Of Science - Ms, Chemistry

Bachelor Of Science - Bs, Biology/Biological Sciences, General

Bachelor Of Science - Bs, Chemistry