Jeebak is currently pursuing his Bachelor's in the field of Data Science, and he's also passionate about Gaming and Sports web content.
Contact Jeebak
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An Aspiring Data Scienctist. My passion is training. But, when I am not making new courses or building software, I enjoy vacationing with my family and friends. And in free time trying to play with new data.
My area of focus is applying data science to sports & games. I'm also love to write articles and blogs about latest video games and for sports, and making better decisions with data.
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This application helps in Scouting and analyzing players' performances across the top 5 European leagues (Premier League, La Liga, Bundesliga, Serie A, and Ligue 1) by evaluating their Passing, Crossing Skills, and Expected Goals and Assists. It aids teams in building optimal squads using machine learning. The application is built in Tableau using the 2023-24 season players' performance data from FBREF.
Launch Application
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Foo-py helps football analysts and coaches gain deep insights into match performance and player dynamics by visualizing passing networks, player passes, and heatmaps, using data from matches such as the Turkey vs Portugal Euro 2024 game.
Launch Application
Over 2+ years of experience in data science and analytics, specializing in turning raw data into actionable insights. Proficient in Python, SQL, Tableau, and Power BI for data processing, visualization, and reporting. I design and develop data science projects, exploring advanced techniques like predictive modeling, clustering, and classification. Skilled in analyzing complex datasets to support strategic decision-making, I’ve worked on projects such as passing networks, xG visualizations, and performance dashboards. My passion lies in leveraging analytics to solve real-world problems, particularly in sports, where I use data-driven approaches to enhance performance and uncover valuable insights.
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CHRIST (Deemed to be University)
Python
R
SQL
Hadoop
Hive
NoSQL
Snowflake
HTML & CSS
Django Framework
Data Analysis
Machine Learning
Deep Learning
Image Processing
Tableau
Sports Analytics
Data Engineering
Data Mining
Data Transformation & Cleaning
Hey there, Jeebak has an interest in football and video games. In his free time, he writes about his thoughts using his keyboard. You can check those out on Medium, Sportskeeda, KhelNow, Footytimes, BreakingTheLines, The Football Digest, and GameinTouch.
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In football analytics, understanding how a team distributes the ball and exploits key areas of the pitch can provide deep insights into game strategies. One popular way to visualize this is through pass maps, particularly focusing on specific zones like Zone 14 and Half-Spaces.
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Issued by: Great Learning
Completion Date: November 2024
Credential ID: 581
Skills: MATLAB
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Looking for better opportunities as an Intern or Freelancer in the field of Data Science.
Analyze football match data, player performance, and tactical insights to help coaches and teams improve strategies.
Build custom web applications for sports analytics, real-time data processing, and performance tracking.
Over 3+ years of experience in SEO optimization and creative content writing.
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The Scottish Church Collegiate School