Om is a Technical Enthusiast. He is mainly known for his contributions as an open-source contributor and blogging. He has taken many sessions as part of NGOs and technical sessions in Data Science. He is a speaker at Toastmasters and has given 30+ speeches. He is a Scout by Nature and Developer by Passion. He is an Avid Reader and Reseacher.
Apart from working, Om loves to dance and draw comics. He loves to play football and chess. He is a friendly guy and would love to help. Feel free to reach out to him on any social platform. If you are not in need of help, just drop a "Hi", he shall love to connect with you! He is very active on social media!
Effective Use of Stack Overflow for better search and problem solving approach!
View BlogThis article is part of my "Tech Hack" Series! I hope this helps you!
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Understanding the proper colaboration of head, heart and head for better results!
View BlogTalent is not a unbeaten thing! How hard work gets over, makes all the difference!
View BlogActions are at times not able to see a growth! Is your initiative under trouble? Do have a look!
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A Developer known for Python skills working upon Data Pipelines and Platforms like Tecton, Snowflakes and Airflow! Certified in Azure Cloud, Data Fundamentals and Data Engineering Certifications!
A Java Developer working with Access Secure Team in the domain of Cyber Security. Known for the developement mainly in Kotlin, Angular and Security Tools.
Deep Learning Model developer. Worked in Keras, Tensorflow and AWS for building various projects. Sales Prediction Modeling for better sales approach. Working on BERT Algorithm to optimize the HR chatbot search. Using OpenCV and NLP for extraction of details and data wrangling. Understanding employee retention data and making pipelines to analysis them.
Working on Medical Dataset and making a Portal for handling the medicine related issues. Making a Demo of meet handler similar to Google Meetups. Using Web Crawler to extract data using python.
See More in Om's LinkedIn Profile
An effective way to understand the way in which the cars are been parked and handled. The iterative methods of storing the cars in queues and allocating them according to the parking space. Designed to understand the growth of parking problems and graphics for visualization!
View ProjectMask Detection using MT-CNN classification and with time and location capturing for better data extraction. This has been done for various location and timing analysis and works great with all cases.
View ProjectA Kaggle Challenge project to predict the delay of flights and the data visualization. This project was selected as one of the winning projects and this added a great value for the prediction of the competition.
View ProjectSee More in Om's Github Profile