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.

UK Data Jobs
A Job Board for Data Jobs in the UK
ukdataanalystjobs.com
Premier League Overs and Unders
An app that allows users to bet on the outcome of the Premier League player props,
github.com
FPL Analyzer
An app that allows users to bet on the outcome of the Premier League,
Vercel
FPL Player xPoints Model
An open source model that predicts the xPoints of FPL players based on their performance
Github
FPL Player and Team Dashboard
A dashboard that allows users to viewstats of players and teams in FPL
Vercel
FPL Price Change Bot
A telegram bot that sends you the price changes of FPL players daily
Telegram
Resume.me
My Resume which you can access on the website you are currently on, built with Next.js.
meharpalbasi.fyi
meharpalbasi.com
The Website you are currently on, built with Next.js
meharpalbasi.com

Past

Projects I worked on. Due to nature of the internet not all of them are still online.

NFL Interception Model
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
NFL Rush Yards Overexpected Model
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
NBA Line Up Analyzer
Application that breaks down advanced analytics of all NBA lineups from the 2023-2024 season
streamlit.io
Who's the best Kicker in the NFL?
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
S&P500 Analyzer
In this Streamlit program I visualize the top gainers and losers of the S&P500 within a chosen timeframe.
github.com
NFL Quarterback Through the Seasons
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
FBREF Scraper
Scrapes, combines and cleans data from FBREFs top 5 leagues and schedules it to a Postgres Database
github.com
Compare your portfolio to the S&P500
A Streamlit application that allows you to compare your portfolio to the S&P500, with risk and return analysis
github.com
FPL User Analysis
Application that shows you your FPL team performance and how you compare to the average FPL user as well as history
streamlit.io