Data Science And Ai Intern
Urbana-Champaign Area
• Created regression and classification models using python to predict future data.• Presented project progress to project sponsor during bi-weekly meetings.• Conducted analysis to gain quicker, streamlined understanding for business results and trends• Utilized machine learning methods to create data models, concepts such as regression, classification, and forecasting.• Assisted data science team create and evaluate an environmental modeling process. This included data wrangling, data engineering, data science, machine learning, modeling, statistics, and analysis.• Provided computer-related support including coding, modifying, and debugging.• Interpreted data and analyze results using statistical techniques and develop reports. • Located and define new process improvement opportunities.• Adapted at report writing and presenting findings using Word and PowerPoint.• Documented all the steps involved in creating datasets.• Analyzed over 10 years of SCADA data to help develop an alert system.• Designing using Microsoft AIP and Security Compliance tools to create a Machine Learning model to classify documents based off of secrecy levels and security guidelines.• Researched, designed, developed, and enhanced analytics solutions using a range of analytics techniques, methods, and tools.• Actively participated in multiple projects that will vary in business knowledge.• Responsible for researching, data acquisition, documentation, technical analysis, visualization, and communication.• Developed initial prototype analytics that employ statistical methodologies to fused data sources.• Collaborated with internal clients and subject matter experts to understand business processes, gather requirements, develop methodologies, tools, and analyses and communicates results.• Exhibited a problem-solving, collaborative, positive attitude to solving client problems using an analytical toolkit that includes computer-based modeling.