Parsa Naderi
@ParsaNaderiXComputer Science Student at Amirkabir University of Technology - Tehran Polytechnic
Language Breakdown
Lines of code distribution across 10 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
16
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Alireza Heidari
@deepmancer
Rasa Khosrowshahi
@rkhosrowshahi
cyber phoenix
@MohsenDowlati
Sobhan Moghimi
@SobhanMoghimi
Alireza nouri
@Alireza77n
Top Repositories
A full-stack movie recommendation system using Go, React, and MongoDB. Features advanced aggregation pipelines and a content-based filtering algorithm to suggest movies based on user preferences.
PostgreSQL marketplace database with full DDL, seed data, retrieval queries, CSV results, and ERD.
An end-to-end analysis and modeling of the "UCI Adult Income" dataset: Thorough EDA, data cleaning, encoding, scaling, class-imbalance handling, and a broad model comparison with hyperparameter tuning.
Movie Rating System backend built with FastAPI, PostgreSQL, and SQLAlchemy, featuring layered architecture, RESTful APIs, ratings aggregation, filtering, and pagination.
A URL Shortener backend service built with FastAPI, SQLAlchemy, and PostgreSQL, implementing a clean layered architecture, and RESTful APIs.
A comprehensive movie recommendation system implementation using "collaborative filtering" techniques on the MovieLens 100K dataset. Features both item-based and user-based recommendation approaches with detailed exploratory data analysis.
A small project where I’m building a Library Management System step by step. It starts as a basic CRUD API for books and I’ll keep expanding it over time with a database, user accounts, and eventually a frontend.
We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.
A semester-long Software Engineering project: a modular To-Do application developed in multiple phases, starting from a CLI version and expanding to database, API, and UI integration.
NMA deep learning course
Open Source Impact
Contributions to external projects
