Language Breakdown
Lines of code distribution across 13 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
13
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Ahmadreza Nia
@AhmadrezaNia
Mehryar
@Mehryarmb
Agrim Arora
@Agrim98
Tannaz Ebrahimi
@TannazEbrahimi
Devy Yeap
@devsY95
Top Repositories
The objective is to develop a system that can classify images of clothing items and accessories, enabling visual search capabilities in fashion e-commerce.
Scraping data from various Etsy shops and organizing it into a clean database. Analyzing the data using Python and R, and creating linear and regression models revealed the key factors for shops' success. Applying feature engineering techniques improved the accuracy of the models.
Relational Database
Developing the most innovative solution for optimizing the distribution plan for EV charger stations in California. Utilized machine learning and applied business concepts, such as defining user personas, to create a creative and effective solution that was recognized by the top board managers of KPMG.
Developing and presenting a model for Super Bowl prediction by utilizing data cleaning and feature engineering techniques, as well as implementing various machine learning models to predict the final score. Our team was selected to showcase our analysis at a sports event hosted by the university.
Utilizing web scraping techniques to extract data from various websites, creating a soccer dataset for national teams, and implementing machine learning algorithms, in both Python and Weka, to predict World Cup 2022 results with the help of feature engineering.
Comparing various trading strategies in a Python based program for stock market data from Y!Finance library, visualizing S&P 500 data using Tableau, and predicting stock prices using the LSTM artificial neural network model.
Analyzing official data from LAPD for ten years of Los Angeles city crime. Visualizing data on Tableau, making a heatmap clip for LA crime rate at different hours of the day, and presenting report for the safest and most dangerous time for traveling to LA based on hypothesis testing.
Open Source Impact
Contributions to external projects
No external contributions found.