Extract a feature model from an input specification, select the features to target, and generate valid test inputs in which only those features vary.

Data processing and visualization project.

Investigating recently aborted Fandango movie rating system for inflation.

The goal is to do comperhensive data analysis on 2 datasets and see if *Fandango*'s ratings in 2015 had a bias towards rating movies better to sell more tickets.

A python project that fetches coming soon movies using web scraping

Investigated whether Fandango's movie ratings were biased by comparing displayed ratings with underlying scores and competing platforms including IMDb, Rotten Tomatoes, and Metacritic. Used Python, Pandas, and Matplotlib to perform exploratory analysis, visualise rating distributions, and evaluate a published data journalism claim.

This is a Data Analysis project on a dataset from Fandango website using python.

Deep dive into Fandango's 2015 movie ratings: uncover stars vs. true scores, vote patterns, yearly trends, and bias vs. Rotten Tomatoes/IMDB. Interactive plots reveal critic-user discrepancies and data insights.​

Flixster is an American movie-discovery and social entertainment brand founded in 2007 that let people rate and review movies, browse local showtimes, watch trailers, and share what they were watching. It grew into one of the largest movie communities on the web and mobile, and in 2011 was acquired by Warner Bros.

Get alerted the moment new IMAX/movie showtimes appear near you. Runs free on GitHub Actions; also a local CLI via pipx.