James Welch Email & Phone Number

New York, Ny, Us

Nutley, New Jersey, United States

• Built and maintained Tableau and PowerBI environments to extract data from our LIMS solution (MS SQL Server) and Benchling (PostgreSQL) and enable data processing, visualization, and transparency across the organization.• Reduced costs by $10K through consolidating data processing and visualization into PowerBI using Microsoft Fabric, Data Pipelines, and Notebooks.• Reduced turnaround time for analytical chromatography by 20% and decreased quantification error from >10% to 3% using a measurement systems analysis process.• Reduced product variation by implementing Statistical Process Control for a production manufacturing line. Collected user feedback to design LIMS implementation and data visualization.• As project manager; designed and implemented LIMS data capture for a new product class. Working with users to record key metrics, create relationships between batches, and track inventory.• Developed custom data processing programs in R, Python, and Excel to standardize and expedite data processing and analysis for Fermentation, PCRs, chromatography assays, and strain screening. Conducted code reviews with• Documented LIMS data structure, and QC requirements, and produced protocols to guide users through the creation of robust and reusable LIMS entities• Organized and facilitated weekly data science office hours and quarterly refresher courses to equip scientists with statistical, data visualization, and programming skills to improve experimental designs and accelerate data analysis.

Finding and developing partners for the iGEM Community. Join us on our mission to promote synthetic biology, communicate science, and build the iGEM Community.

• Managing a team of 5 to plan events, create communities, and generate media to promote the industry career route and industry engagement in synthetic biology.

New York, New York, United States

An immersive data science program focused on building the core competencies of programming, machine learning, statistics, and data communication. Alongside the coursework, I completed 4 projects and placed 1st in two hackathons.Fraud Detection in Medicare Claims Data: • Constructed a model to predict fraudulent Medicare claims with a 78% accuracy and fraudulent providers with an 87% accuracy by cross-validation and tuning of scikit-learn, XGBoost, and CatBoost models.• Reduced data requirements from 100+ claims to 10 while maintaining accuracy and specificity by predicting fraudulence on a claims level then aggregating up to predict provider fraud. Reducing time-to-prediction from over a year to under 2 months, allowing multiple opportunities to identify fraudulent providers. Interactive Database Visualization:• Built an interactive dashboard in R-Shiny for the management of cell stocks across multiple R&D departments with integrated data visualizations and workflow-specific data capture. • Interviewed Managers and Operators across departments to customize database and visualizations and data-capture to their specific needs. Housing Price Analysis with Machine Learning:• Achieved top 33% of scores in Ames Housing dataset Kaggle challenge, with a mean prediction error of 8% by applying multiple linear and tree models. • Applied 4 linear and 3 tree-based models, hyperparameter tuning, and feature selection to predict home sale prices.Web Scraping for Business Analysis:• Scraped 250,000+ audiobooks from Audible for title and category information using Python Scrapy.• Suggested opportunities for growth and expansion by analyzing pricing, length, rating, and language data. Hackathons: • Placed 1st in two hackathons addressing Airline tickets trends & Audio Streaming Service retention data.• Collaborated in teams of 2-3, maintaining version control, analyzing data, and designing presentations.

• Individually developed and scaled a novel enzymatic process from bench (1mL) to pilot industrial (50L) scale in under a year and successfully transferred to the process team. • Built data-capture templates for meta-analysis of experiments. Implemented design of experiments (DOE), hypothesis testing, and automated data analysis with JMP statistical Software and custom R & Python scripts to accelerate process iterations. • Collaborated in 2-to-10-person teams to execute experiments and scale processes in a fast-paced start-up. Reported weekly progress to 10+ member department and executive stakeholders.

United States

• Designed, assembled, and transformed novel proteins & DNA constructs. Screened & validated clone libraries across multiple analytical methods such as Western, ELISA, quantitative-SDS, and SEC.

West Lafayette, Indiana

Undergraduate researcher with Dr. Andrea Kasinski, researching the interactions of the protein LIN28 and the micro-RNA let7. Refined protein purification protocol and assayed drug libraries for inhibition of LIN28-let-7 binding. Further developed a stable cell line to report mature let-7 concentration.

Madison, Wisconsin Area

Developed and evaluated protocols for the novel use of Promega products and chemistry. Wrote internal and external reports of findings and protocols.