OnBenchMark Logo

Vaishnavi (RID : 10dgyl3zlx6cu)

designation   React JS Developer

location   Location : Nagpur, India

experience   Experience : 3 Year

rate   Rate: $7 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 0
Total Views : 42
Key Skills


(React js 3 year)


I want to be part of an organization that helps me to evolve and grow professionally while providing challenges and opportunities which will later on help me to become productive and contribute to the goals of the organization.

Professional Experience:

July- 2019 – Present: working as Software Developer in xxx


Project Details:

Project # 1: Cezma

Description: This project based on E-Commerce website and APP. In this website user or supplier can add product and communicate to each other using on-line chat or by phone and buy particular product.

Skill Used: React js,HTML, CSS, Bootstrap

Project # 2: Connect bud

Description: Connect bud is a platform for one-to-one mentoring relationship for helping higher education as pi rants to get valuable counseling services to get into top colleges of the world.

It is the most user-friendly and affordable platform that catalyzes mentoring conversations and counseling for students globally.

Version Controlling: GIT

Technologies Used :ReactJS

Project # 3: Knack

Description: Knack is a simple solution to operate your entire business from your phone. A digital solution empowering every individual to manage their business. Knack offers a fully integrated enterprise management tool for all self-employed professionals - be it a home tutor,

a hobby teacher, fitness trainer, photographer, beautician, dog trainer, or anyone else!. It is published as an open-source repository in bit bucket.

Version Controlling: GIT

Technologies Used: ReactJS, HTML, CSS

Project #4 :Restaurant Bot

A chat-bot for restaurant management. For this job, RASA Form policy, Custom Actions, Custom APIs to communicate with RASA, Angular widget for Front-end, etc.

Technologies Used: Node, RASA, GCP, HTML, CSS

Project #5: Object Counting

A computer vision-related work to count the number of pipes in an image.

For this project, TFOD, Faster-RCNN-Resnet50 is used and fine-tuned with my own dataset, having better than 83% accuracy. Flask HTML/CSS and GCP are used in this project.

Technologies Used: Python, GCP, HTML, CSS

Matching Resources
My Project History & Feedbacks
Copyright© Cosette Network Private Limited All Rights Reserved
Submit Query
WhatsApp Icon

stuff goes in here!