Jan/2024 - May/2024

Software Engineer Intern @ Medevplus

Enhancing grayscale eye-scanned images using a myriad of cutting-edge image processing tools and techniques such open cv, PIL, NumPy and more. Developing an algorithm to accurately detect zinc coating layers on capsules, achieving high accuracy in comparison to gauge readings, revolutionizing thickness measurement automation.

May-2023/ June-2023

Data Science Intern @ TwiLearn Edutech

During my internship, I was trained in various types of data analysis techniques, including data cleaning, exploratory data analysis, and data visualization. I learned how to manipulate and analyze data using different tools and techniques, with a focus on extracting meaningful insights from complex datasets. One of the highlights of my internship was the completion of a project using Tableau, a powerful data visualization tool. I utilized Tableau to create interactive and visually compelling dashboards that presented key findings from the data. This project allowed me to showcase my creativity and ability to translate raw data into actionable insights, providing valuable information for decision-making.

Oct-2022/ Dec-2022

Machine Learning Intern @ Pie Infocomm Pvt Ltd

I completed an impactful internship at Pie Infocomm, where I had the opportunity to work on a project focused on developing a brain tumour detection system using machine learning techniques. During my internship, I was actively involved in the entire project lifecycle, from data collection and preprocessing to model development and evaluation. As part of the project, I worked with a diverse dataset consisting of brain MRI scans. I employed various machine learning algorithms, such as convolutional neural networks (CNNs), to extract meaningful features from the images and classify them into tumour or non-tumour categories.