Vaastav Anand
Doctoral Researcher at Max Planck Institute for Software Systems
Saarbrücken, Saarland, Germany
Summary
🤩
Rockstar🎓
Top SchoolVaastav Anand is a doctoral researcher at the Max Planck Institute for Software Systems with 11 years of experience focused on making cloud and distributed systems more reliable and performant. His work bridges systems research and practical engineering—spanning PhD research at MPI-SWS, internships at Microsoft Azure Research and NVIDIA, and multiple research and teaching roles at UBC. He has hands-on expertise building robust data pipelines (evidenced by his Fantasy Premier League project integrating multiple sports APIs) and a track record of improving system robustness under real-world conditions. Based in Saarbrücken, he pairs rigorous academic training with production-oriented problem solving and an appetite for operational reliability. Off-hours he’s a dedicated football fanatic, a detail that often surfaces in his data-driven side projects.
11 years of coding experience
3 years of employment as a software developer
10.0, 10.0 at Lakshmipat Singhania AcademyMaster of Science - M.Sc., Computer Science, Master of Science - M.Sc., Computer Science at The University of British Columbia92.8%, 92.8% at Global Indian International School
English, Hindi, French, Bengali, Italian, German
Github Skills (11)
apim10
csv10
api10
data-pipeline10
data-pipelines10
python10
webscraping10
data-engineering10
pandas9
json8
beautifulsoup7
Programming languages (15)
Github contributions (5)
vaastav/Fantasy-Premier-League
Sep 2014 - Jan 2023
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
Role in this project:
Data Engineer
Data EngineerContributions:3 reviews, 314 commits, 43 PRs in 8 years 5 months
Contributions summary:Vaastav primarily contributed to the data extraction and processing pipeline for the fantasy-premier-league project. They implemented scripts to scrape data from external APIs, parse the data, and store it in various formats (CSV). Their work included adding functionality to collect, merge, and aggregate game week (GW) data, as well as integrate with understat and fbref APIs, demonstrating a focus on data acquisition and transformation. The user's contributions also involved updating the scripts to handle new data formats and prevent connection errors, ensuring the data pipeline's robustness and reliability.
fpl-analysiscsvtotalpythonplayers
vaastav/vaastav.github.io
Feb 2015 - Jan 2023
Contributions:194 commits, 2 PRs, 228 pushes in 7 years 11 months
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