profile sourced from GitHub
Scouting report
Data/SQL-focused grad with a self-directed but dormant project set
assessed from open-source footprint
A Masters-in-Information-Systems graduate whose ten original repos map cleanly to a data engineering interest: SQL housing analysis, a PostgreSQL art-gallery schema, a Python bank-account system, an AWS-S3 gaming dataset pipeline, and LeetCode practice. The stack (Python, Jupyter, TSQL, PLpgSQL) is coherent and the work is genuinely his own. The caveats are real, though: zero commits in the last year, a 0.9 abandoned ratio, no stars, and no external open-source contributions, so this reads as a tidy academic portfolio awaiting fresh activity.
Authorship & open source
What they build
Industry experience
- Data, ML & AI
- Fintech & Payments
- Media & Streaming
Signal breakdown
0
10
0% forks
1
5.2 yr
1
Quiet
90% stale
Strengths
- Verified author — wrote 100% of commits on RohanKumariya
- Original builder — 10 of their own repositories
- Data / ML focus with Backend
- Domain experience in Data, ML & AI & Fintech & Payments
- Core stack: Python, Jupyter, TSQL, PLpgSQL
About
Skills
- Python
- Jupyter
- TSQL
- PLpgSQL
- Array
- Arrays And Strings
- Strings
- Database
Featured work
Leetcode Problems Solutions
Solution for Leetcode Problem - Contains Duplicate
- Python
- Array
- Arrays And Strings
- Strings
by Rohan Kumariya
Bank Accounts Management System
Bank Account Management System: A Python project for creating, managing, and simulating bank accounts.
- Python
by Rohan Kumariya
Art Gallery Database Management System
The purpose of this project is to create a Database Management System for an Art Gallery.
- PLpgSQL
- Database
- Database Management
- Database Schema
by Rohan Kumariya
Data Engg Gaming Industry Analysis
In this data engineering project, a dataset related to the gaming industry is utilized. The dataset is stored in an AWS S3 bucket and is mounted to a…
- Jupyter
by Rohan Kumariya
Housing DataAnalysis
The purpose of this Project was to clean the entire dataset by removing ineffectual,/duplicate data and turning the raw data into meaningful data.
- TSQL
- Data
- Data Analysis
- Sql
by Rohan Kumariya