Deepanshu

Project 1: Product Recommender Application - A web application that suggests products to users based on their face traits.

SKILLS

Languages: JavaScript, Typescript, HTML, CSS

Front-End: ReactJS, VueJS,Redux

Back-End: NodeJS, ExpressJS

Database: MSSQL, Redis,Postgres

Testing: Jest, Enzyme

Cloud-Service: Microsoft Azure

● Developed microservices using NodeJS and ExpressJS. The microservices helped in processing the user's image, finding the

face traits, and recommending products.

● Contributed to designing database architecture, deployment, and other project activities from scratch to launch.

● The application grabbed the attention of 5k users in the first month of launch.

● Tech Stack - NodeJS, ExpressJS, SQL, MS Azure.

Project 2: Campaign System -

Helps brands to collect and manage data from their multiple online marketing campaigns.

● Developed API endpoints using NodeJS and ExpressJS to send users’ data to the Janrain service.

● Implemented caching for the campaign system APIs using NodeJS and Redis resulting in approximately 10 times faster response.

● Tech Stack - NodeJS, ExpressJS, Redis, Janrain.

Project 3: Brand Websites -

Country-specific websites of P&G brands.

● Migrated static brand websites to develop dynamic ones using NextJS and Contentful.

● Dynamic sites helped content agencies to update the website content without any code changes which ensued 50% cost and

time efficiency.

● Managed a team of 4 people.

● Tech Stack - ReactJS, NextJS, Contentful.

Project 4: Crawler Application -

Crawls a webpage to list out redirected and broken URLs.

● Single-handedly developed a full-stack single-page SEO crawler application using ReactJS and NodeJS.

● The app assisted the SEO team to find the broken and redirected URLs in order to achieve the SEO score of 90+ for the brands’

websites.

● Tech Stack - ReactJS, NodeJS, ExpressJS.