About

Currently pursuing my MS in Electrical Engineering at University Of Southern California, I intend to focus on areas such machine learning, AI, computer vision and embedded systems. I hope to combine my experience working as an Applications Engineer at Analog Devices added with the skills and concepts learned in this program to rapidly will help me advance the exciting field of machine learning and computer vision. I believe my creativity, enthusiasm for the field, and maker mentality will be assets to any team I join in the future.

Portfolio

---

Machine Learning

Human Activity Recognition using Time Series Classification

---

Identification of Risk of readmission of Diabetic Patients

---

Banknote Authentication Dataset -KNN Analysis

---

Computer Vision and Image Processing

Image Processing toolbox

• Histogram Manipulation and Image denosing

• Geometrical Modification of Images and Morphological Processing

• Edge Detection and Digital Halftoning
• Image Stitching
• Texture Classification
• Image matching and Bag Of Words CNN Training on LENET

Master Computer Vision using OpenCV4 in Python-Udemy

Computer Vision using OpenCV4 -

Credit card Number Recognition

---

–>