Sagar Pednekar (@sagarpednekar)
  • Stars
    star
    33
  • Global Rank 458,219 (Top 16 %)
  • Followers 8
  • Following 19
  • Registered about 9 years ago
  • Most used languages
    Ruby
    78.9 %
    JavaScript
    10.5 %
    TypeScript
    5.3 %
    Python
    5.3 %
  • Location 🇮🇳 India
  • Country Total Rank 17,043
  • Country Ranking
    Ruby
    168
    TypeScript
    9,424

Top repositories

1

open-lms

Open LMS is a Open Source Library Management Software suitable for small or medium scale university or private libraries
Ruby
3
star
2

socioblog

Techblog is demo technical/social blog which provide functionality of creating post , control admin access , user sign in functionality , rich foundation-css UI , admin User listing , post is ordered most recent first , social shearing on fb,twitter,G+ option is provided.
Ruby
3
star
3

alpha_blog

Alpha Blog is a news blog about latest news whether with numerous categories such as tech ,sports and many more...
Ruby
2
star
4

masonary-gallery

Masonary Gallery is a photo gallery App . Masonary based UI customization
Ruby
2
star
5

app

Ruby
2
star
6

planet

Planets
JavaScript
2
star
7

imupload-cloudinary

ImageApp is a cloudinary- carrierwave image-upload demo app. It provides you upto 2GB free space for media upload .This application is demo for Image Upload . App works well in Prodcution ENV (Hosted on Given Link- > on Heroku)as well you can try 3 Image Versions medium, thumb , and Small . Hope it will help You!
Ruby
2
star
8

modern-blog-app

TypeScript
1
star
9

test

1
star
10

societyapp

Ruby
1
star
11

bookstore

Ruby
1
star
12

codelib

Ruby
1
star
13

stocktracker

Ruby
1
star
14

gallery-art

Ruby
1
star
15

imgeupload

Ruby
1
star
16

restroapp

Ruby
1
star
17

pednekars

Pednekar's is my personal portfolio website which is showcase of my open source projects.
JavaScript
1
star
18

canvas

Ruby
1
star
19

FinalPro

Ruby
1
star
20

Sparkify-Data-warehouse

The project involves developing an ETL pipeline on Amazon Redshift to load data from S3, create staging tables, and transform the data into a star schema optimized for song play analysis. The goal is to enable Sparkify's analytical team to uncover insights about user behavior and music preferences.
Python
1
star