Things I've made trying to put my dent in the universe.
A list of projects I've worked on, I'm working on and I will work on.
Now
Projects I currently work on.
An app that allows users to bet on the outcome of the Premier League player props
github.com
A Twitter account dedicated to match reports and analysis of Liverpool FC. All graphics/stats are created in R or Python (using mplsoccer). Data is scraped from WhoScored, FotMob, and SofaScore
X
An open source model that predicts the xPoints of FPL players based on their performance
Github
Application that breaks down advanced analytics of all NBA lineups from the 2024-2025 season, inspired by my Streamlit version
nbalineup.vercel.app
A dashboard that allows users to view stats of players and teams in FPL
Vercel
Smart FPL data pipeline with REST API that auto-fetches data daily, transforms with dbt models, and powers fplanaly.st with 8+ analytics endpoints
API
My Resume which you can access on the website you are currently on, built with Next.js.
meharpalbasi.fyi
Past
Projects I worked on. Due to nature of the internet not all of them are still online.
In this project I use the NFL's play by play data to calculate which Quarterbacks under-performed vs over-performed their expected amount of interceptions. In this model I use a logistic regression, random forest and an XGBOOST model; calculating subsequent Brier scores.
github.com
In this project I use the NFL's play by play data to calculate which Running Backs over-performed their expected amount of rushing yards. In this model I use a XGBOOST model.
github.com
Application that breaks down advanced analytics of all NBA lineups from the 2023-2024 season
streamlit.io
In this project I use the NFL's play by play data to calculate which Kicker over-performed their expected amount of Field Goals. In this model I use a random forest model. P.S It's Chris Boswell
github.com
In this Streamlit program I visualize the top gainers and losers of the S&P 500 within a chosen timeframe.
github.com
In this streamlit application I use the NFL play by play data to visualize NFL Quarterbacks cumulative Passing Yards, Touchdowns and Interceptions through the weeks.
github.com
Scrapes, combines, and cleans data from FBRef's top 5 leagues and schedules it to a Postgres database
github.com
A Streamlit application that allows you to compare your portfolio to the S&P 500, with risk and return analysis
github.com
Application that shows you your FPL team performance and how you compare to the average FPL user as well as history
streamlit.io