Shivang Dubey

I am employed with ZS full-time as an associate. I majored in electronics and communication engineering when I completed my bachelor's degree at Guru Gobind Singh Indraprastha University in Delhi.

I am always researching and learning new AI applications, such as anomaly detection, medical imaging, computer vision, image classification, and algorithms. Along with this, I have experience in technical content, including strategy, analysing, and reviewing technical content based on AI. I am familiar with SEO and keyword techniques. I'm always willing to learn and pick up new technologies and use them for good either on my own initiative or as part of an organisation.

In alongside technology and research, I enjoy reading, weightlifting (deadlift-squat-bench), video games (particularly first-person shooters), and trying new gadgets.

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Most of my research and projects revolve on web scraping, computer vision, medical image analysis, and outlier detection.

The model was created to detect human and distance violations between two human centroids. With a suitable detection rate, the model draws a box around the human.

COVID-19/Infected cases were detected using a positive case and a normal case image dataset. Gradient Descent and CNN Classifier were used to optimize the process.

Data was scraped from all products on the online grocery store, including Price, Description, Quantity, and Brand, and saved in a reusable format for Data Analysis and operations.

I developed POC solutions while I worked with the data science department. During the internship, I expanded my knowledge of the business's processes and contributed significantly to a number of significant projects.

Collaborated with a PhD student to develop a Deep Q Learning model for a network intrusion detection system. The obtained accuracy was greater than 79%. Built machine learning models for the same Network Intrusion Detection System, including Support Vector Machine, Random Forest Algorithm, and Convolution Neural Network, and compared the results to the Deep Q Learning model.

Researched over 150+ companies/start-ups to identify the reason of failures and successes of its products in market. Modeled case study about a product to assist in boosting its reach by numerical and qualitative analysis. Forecasted increase in the sales by applying Segmentation, Targeting and Positioning model and 4Ps framework.

Collaborated with the team to strategize and monitor content in the CodeStudio Library section for the entire Artificial Intelligence domain. Under my supervision, over 450 articles were curated and developed in a variety of domains such as Machine Learning, Natural Language Processing, Computer Vision, and Python Programming Language.

I supervised a group of 4 technical writers who wrote content on a variety of computer science topics, from data structures and algorithms to machine learning. Also, researched SEO and keywords to gain a better understanding of the reader preferences. On the basis of traffic and site engagements, I recommended quality content.

• Nov 2022: Re-joined the CodeStudio Team of the Coding Ninjas as a Content Strategist and Reviewer.
• May 2022: Joined Polytechnique Montréal as a Research Intern under Prof. Soumaya Cherkaoui.
• Feb 2022: Finished Top 10 in Smart India Hackathon 2022.
• Dec 2021: Selected as MITACS Globalink Research Scholar.