About

Megha Modi is a highly motivated Software Engineer Intern at John Deere with experience in cutting-edge technologies. She has a passion for software development, cloud computing, data science, web development, and database management. Megha is an innovative problem solver with excellent communication and presentation skills, who thrives in both team environments and independent work. Megha has experience building web applications, REST/SOAP web API services, designing static/dynamic responsive websites, performing unit testing, deploying on production servers, and creating project documentation. She is also skilled in predictive and prescriptive modeling, utilizing machine learning and statistical techniques, including supervised/unsupervised learning, text mining, regression, and deep learning. As a data scientist, Megha has developed and deployed predictive models and investigation platforms using web technologies. She has hands-on experience with Python (sklearn, pandas, numpy, matplotlib, seaborn), Tensorflow, OpenCV, GeoPandas, Segnet, UNIX scripting/automation (crontab), SQL/DB, and Dashboard/Visualization. Megha's past work experience includes positions as a Software Developer at UTA FabLab and a Teaching Assistant at The University of Texas at Arlington. She is currently pursuing a Master of Science in Computer Science at The University of Texas, which she will complete in December 2022. Megha also holds a Bachelor of Engineering in Computer Science from OIST. Overall, Megha is a talented and driven software engineer with 1.93 years of relevant experience. She is a valuable asset to any team and is always eager to learn and take on new challenges.