nikhilvenkatkumsetty
Currently working as an Associate Software Engineer at ServiceNow. Bachelor of Technology Major in Information Technology and Minor in Mathematics from NITK.
ServiceNowHyderabad, India
Pinned Repositories
Attack-and-Anomaly-Detection-in-IoT-Sensors-and-Sites-Using-Machine-Learning-Approaches
Auction-DApp
Building-Damage-Detection-and-Classification-using-Deep-Learning
Context-based-Flagging-of-objects-in-Satellite-Imagery
Financial-Time-series-analysis-for-High-Frequency-Trading
Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the field of High-Frequency Trading (HFT), forecasting for trading purposes is even a more challenging task since an automated inference system is required to be both accurate and fast. In this project, we have implemented a shallow-architecture methodology for the forecasting of financial time-series data, which gives state-of-the-art results. This architecture has been trained and tested on the benchmark Limit Order Book(LOB) FI-2010 dataset, and the corresponding results are compared and analyzed using a variety of measures.
Machine-Learning-Approach-to-Software-Requirements-Prioritization
Using Genetic Algorithm to prioritize the software requirements of a project
Mitigating-Unfairness-and-Bias-in-Cold-Start-Recommenders
to study bias and fairness in recommender systems have focused on improving fairness and mitigating bias only in situations and for items where a history of the user profile already exists. In this project, we explore the bias against new items without any feedback history which are added to recommender systems.
Salient-object-detection-using-MST
TrashBox
Dataset of trash objects for waste classification and detection
TrashBox-testandvalid
Dataset of trash objects for waste classification and detection
nikhilvenkatkumsetty's Repositories
nikhilvenkatkumsetty/TrashBox
Dataset of trash objects for waste classification and detection
nikhilvenkatkumsetty/Financial-Time-series-analysis-for-High-Frequency-Trading
Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the field of High-Frequency Trading (HFT), forecasting for trading purposes is even a more challenging task since an automated inference system is required to be both accurate and fast. In this project, we have implemented a shallow-architecture methodology for the forecasting of financial time-series data, which gives state-of-the-art results. This architecture has been trained and tested on the benchmark Limit Order Book(LOB) FI-2010 dataset, and the corresponding results are compared and analyzed using a variety of measures.
nikhilvenkatkumsetty/TrashBox-testandvalid
Dataset of trash objects for waste classification and detection
nikhilvenkatkumsetty/Salient-object-detection-using-MST
nikhilvenkatkumsetty/Building-Damage-Detection-and-Classification-using-Deep-Learning
nikhilvenkatkumsetty/E-commerce-application
MERN stack web application
nikhilvenkatkumsetty/Employee-Appraisal-Management-System
Mean stack web application to perform CRUD operations on employee database and on appraisal details
nikhilvenkatkumsetty/Mitigating-Unfairness-and-Bias-in-Cold-Start-Recommenders
to study bias and fairness in recommender systems have focused on improving fairness and mitigating bias only in situations and for items where a history of the user profile already exists. In this project, we explore the bias against new items without any feedback history which are added to recommender systems.
nikhilvenkatkumsetty/TrashBox-VGG19_model
nikhilvenkatkumsetty/Auction-DApp
nikhilvenkatkumsetty/30-seconds-of-code
Short JavaScript code snippets for all your development needs
nikhilvenkatkumsetty/complete-javascript-course
The Complete Javascript Course 2021: From Zero to Expert! by Jonas Schmedtmann
nikhilvenkatkumsetty/Earthquake-dataset
nikhilvenkatkumsetty/Front-End-Checklist
🗂 The perfect Front-End Checklist for modern websites and meticulous developers
nikhilvenkatkumsetty/front-end-interview-handbook
🕸 No-bullshit answers to the famous h5bp "Front-end Job Interview Questions"
nikhilvenkatkumsetty/GitHubGraduation-2022
Join the GitHub Graduation Yearbook and "walk the stage" on June 11.
nikhilvenkatkumsetty/Google-cloud-platform-2
nikhilvenkatkumsetty/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
nikhilvenkatkumsetty/Marketplace
A website for online shopping using Node.js, React and MongoDB
nikhilvenkatkumsetty/ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
nikhilvenkatkumsetty/nikhilvenkatkumsetty
nikhilvenkatkumsetty/otomi-core
Self-hosted PaaS for Kubernetes
nikhilvenkatkumsetty/pyimagesearch
Repository for PyImageSearch Projects: https://www.pyimagesearch.com/
nikhilvenkatkumsetty/PyImageSearch-CV-DL-CrashCourse
Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning
nikhilvenkatkumsetty/reactjs-interview-questions
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
nikhilvenkatkumsetty/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
nikhilvenkatkumsetty/School-Planner
nikhilvenkatkumsetty/signoz
SigNoz helps developers monitor their applications & troubleshoot problems, an open-source alternative to DataDog, NewRelic, etc. 🔥 🖥
nikhilvenkatkumsetty/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
nikhilvenkatkumsetty/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.