Digital Image Processing Internship
- Implemented digital image processing algorithms using Python
- Leveraged libraries such as NumPy, OpenCV2, and Matplotlib for image manipulation.
Enthusiastic Student with superior skills in working in both team-based and independent capacities. Bringing strong work ethic and excellent organizational skills to any setting. Excited to bring above average user skills in information technology and social media.
Python, Java, C/C++, HTML, CSS, Javascript, React, Node.js, Express, Data Structure & Algorithms, OOPS, SQL, DBMS, Artificial Intelligence(AI) Algorithms, Machine Learning(ML) Algorithms
Title: Software Developer
Predictive Modeling of Housing Prices: A Machine Learning Approach, Employed Python libraries such as pandas, NumPy, and scikit-learn for data manipulation, analysis, and model implementation., Utilized linear regression, random forest regression, and grid search techniques to build and optimize predictive models for housing price forecasts. Driver Drowsiness Detection System, Engineered a car safety system using Python and OpenCV to detect driver drowsiness., Utilized computer vision techniques to monitor the driver's eyes and alert for potential drowsiness, enhancing road safety. Gastric Cancer Detection using Deep Ensemble Learning, Ensemble Learning with Pre-trained CNNs, Libraries: Tensorflow, OpenCV and Numpy