Akshi Chaudhary
Lead Data Scientist
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolAkshi Chaudhary is a Lead Data Scientist based in Vancouver with 8+ years of experience applying advanced machine learning to player experience, fraud detection, and recommendation systems across high-scale products. At Electronic Arts she progressed from building zero–false-positive cheating detectors and behavioral models for FIFA to leading Player Experience Optimization and experimentation for the franchise. Her background spans production ML pipelines, streaming and log analytics (Splunk), deep learning with PyTorch, and applied NLP for conversational agents and social-media recommender systems. She pairs rigorous academic training (MDS, UBC, 4.0) with practical delivery—shipping models in production and automating annotation and retraining workflows—and has a consistent focus on Data Science for Social Good. An interesting facet of her work is translating adversarial behavior analysis (bots, farmers, toxic players) into measurable product improvements for millions of daily users.
8 years of coding experience
8 years of employment as a software developer
Master of Data Science, Advanced Machine Learning and Statistics, 4.0, Master of Data Science, Advanced Machine Learning and Statistics, 4.0 at The University of British ColumbiaSavitribai Phule Pune University
Stackoverflow
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Github Skills (15)
r-package5
prediction4
python4
javascript3
classification3
css3
data-science2
data-wrangling2
machine-learning2
shiny2
deep-learning2
computer-vision2
api1
tensorflow1
image-classification1
Programming languages (3)
Github contributions (5)
akshi8/university_rankings
Dec 2017 - Dec 2017
Contributions:5 releases, 81 commits, 80 pushes in 14 days
UBC-MDS/tidyplusPy
Feb 2018 - Mar 2018
Contributions:1 release, 77 commits, 37 PRs in 1 month
pythondata-scienceextra-datawranglingdata-wrangling
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