Noah Williams

Voorhees,NJ

Summary

Productive and efficient Data Analyst skilled in data visualization, statistical analysis, and predictive modeling. Excels in problem-solving, critical thinking, and communication to ensure successful project outcomes and team collaboration.

Overview

years of professional experience

Work History

Lab Data Analyst

ICON PLC

Farmingdale, New York

01.2021 - Current

Managed data for 70+ clinical trials, ensuring fast response times and efficient data transfers.
Worked closely with clients to develop and review both in-house and sponsor data transfer specifications, ensuring SDTM compliance and meeting all requirements for live-production transfers of lab data.
Developed CDISC-compliant test mapping libraries to enhance efficiency and accuracy throughout the review of data transfer specifications and delivery process.
Managed and led the end-to-end development of PK/PD data transfer configuration for a prominent client.

Assistant Manager

Rosie's Farm Market

Mullica Hill, NJ

04.2015 - 10.2020

Facilitated new team members' integration into daily responsibilities.
Managed the procurement of produce on a weekly basis
Generated daily income reports for the business.

Education

Master of Science - Data Science

Stevens Institute of Technology

Hoboken, NJ

05-2024

Skills

Deep learning
Machine Learning
Time-series analysis
Technical Analysis
Data quality
Python Programming

Statistics and SAS
SQL
Statistical Analysis
Analytical Problem Solving
Excellent interpersonal communication
MS Word, Excel, and Outlook

Projects

Convolutional Neural Network for Image Recognition, Deep Learning
Developed a Sequential Convolutional Neural Network using Keras to classify 32x32 pixel images into 10 categories. The model performed reasonably well with around 80% accuracy on the test data, resulting in a model that can categorize unseen images into several predefined classes successfully
Modeling Consumer Price Index and Beer, Wine, and Liquor Sales, Time Series Analysis I
Used R to explore various time series models for seasonal and non-seasonal time series data to identify the underlying time series behavior and provide future predictions.

Timeline