Harsh Bijlani

Harsh Bijlani has a diverse work experience in the field of data analytics and engineering. Harsh is currently working at ISN as an Advanced Data Analyst specializing in automation and machine learning. Prior to their current role, they were a Data Analyst at the same company, focusing on automation and machine learning as well.

Before joining ISN, Harsh worked at BallerTV as a Junior Machine Learning Engineer. In this position, they developed production-level code using TensorFlow, Keras, and OpenCV to detect and classify numbers on scoreboards in various conditions. Harsh also utilized traditional computer vision algorithms to efficiently solve complex problems and created a pipeline for selecting the best scoreboard out of multiple detections in a single setup.

Harsh also gained experience as a Software Engineer Intern at BallerTV. During this time, they explored different color spaces for image segmentation and object detection. Harsh collected a large dataset from videos and built a CNN model with 96.55% accuracy.

Additionally, Harsh served as a Graduate Teaching Assistant at The University of Texas at Arlington. Harsh was responsible for facilitating discussion sessions, creating tutorials/videos, and grading assignments, quizzes, projects, and exams in computer networking and intermediate programming courses.

Earlier in their career, Harsh worked as an Industrial Trainee at Zensar Technologies.

Overall, Harsh Bijlani has developed a strong background in data analytics, machine learning, computer vision, and teaching.

Harsh Bijlani has a strong educational background, with a Bachelor's degree in Information Technology from MEDICAPS INSTITUTE OF TECHNO MANAGEMENT, INDORE, which they obtained from 2014 to 2018. Following this, they pursued a Master of Science (MS) in Computer Science at The University of Texas at Arlington from 2019 to 2021.

In addition to their academic achievements, Harsh has obtained several certifications. Harsh completed a course on "Scientific Computing with Python" at freeCodeCamp in July 2021. Prior to that, they achieved top positions in courses such as "Data Mining," "Programming, Data Structures and Algorithms using Python," and "Data Science for Engineers" at NPTEL in 2019 and 2018. These certifications highlight their passion and expertise in the field of computer science and data mining.