Pranay Patodi
About Pranay Patodi
Pranay Patodi is a Senior Research Assistant with extensive experience in data engineering and application development. He holds a Master of Science in Computer Science from The George Washington University and has worked with various technologies and platforms throughout his career.
Work at The George Washington University
Pranay Patodi currently serves as a Senior Research Assistant at The George Washington University, a position he has held since 2021. In this role, he is involved in various research projects and contributes to the development of scalable data solutions. Previously, he worked as a Research Assistant at the same institution for seven months in 2021. His experience at The George Washington University has provided him with a strong foundation in research methodologies and data management.
Education and Expertise
Pranay Patodi earned a Master of Science in Computer Science from The George Washington University, studying from 2019 to 2021. He also holds a Bachelor of Engineering in Computer Science from Rajeev Gandhi Prodhogiki College, where he studied from 2014 to 2018. His educational background equips him with a solid understanding of computer science principles, data engineering, and software development.
Professional Experience in Data Engineering
Since 2021, Pranay Patodi has been working as a Data Engineer at Bayer in Chicago, Illinois. In this role, he architects scalable data solutions utilizing various cloud platforms, including Amazon EC2, S3, RDS, DynamoDB, Lambda, and Google Cloud Platform. His responsibilities include developing innovative applications using frameworks such as Django and Dash, as well as employing machine learning techniques for data analysis.
Technical Skills and Tools
Pranay Patodi possesses a diverse skill set in web technologies and programming languages. He is proficient in managing content using platforms like WordPress, Magento, Shopify, and Wix. His technical expertise includes JavaScript, jQuery, HTML5, CSS3, and Bootstrap. He is also experienced with Python libraries such as TensorFlow, Spacy, Pandas, Numpy, Scikit Learn, OpenCV, and Keras, which he utilizes for machine learning applications.
Previous Work Experience
Prior to his current roles, Pranay Patodi gained valuable experience through various internships and positions. He worked as a Software Engineer Intern at Bankey in 2020 for three months and served as a Data Analyst at V-ETS for five months in the same year. Additionally, he worked as a Software Engineer - Data at MMF Infotech from 2017 to 2019, where he developed skills in data management and software development.