I’m a machine learning engineer with a background in software development, Internet of Things, cloud computing, and
telecommunication. My current area of interest is data science, which may help businesses and organizations
comprehend massive volumes of data from different sources to get valuable information that can help them make better
data-driven decisions.
Experience
Carnegie Mellon University/
Aug 2023 – Present
Pittsburgh| Pennsylvania
Graduate Teaching Assistant in Machine Learning
• Explaining and correcting student assignments in the Data Inference and Applied Machine Learning course.
• Preparing recitations to assist students in grasping the coding aspect of Machine Learning.
• Hosting office hours for reviewing students' code and aiding them in debugging errors
Carnegie Mellon University
May 2023 – Present
Pittsburgh| Pennsylvania
Graduate Research Assistant in Data Science
• Analyzing the behaviors of low-cost IoT sensor data compared to accurate reference sensor data.
• Building machine learning models to calibrate the accuracy of low-cost sensor data.
• Deploying the best models in real environments and reporting the results.
Asset & Resource Management Holding Company – Remote
May 2023 – Sep 2023
Remote
Data Science Intern
• Analysing the international stock market using Bloomberg API and Yahoo API.
• Perform technical analysis using technical indicators such as the moving average and RSI.
• Setting up automatic alerts to the investment team when the defined rules are met.
Education
Carnegie Mellon University
Aug 2022 – Oct 2023
Master of Science in Electrical and Computer Engineering, Applied Machine Learning/ Data science
UR/College of science and technology
Sep 2017 – Feb 2022
Bachelor’s degree in Electronics and Telecommunication Engineering, Internet of things