Shakti Singh is a Senior Gaming Data Analyst with 8 years of experience applying machine learning and advanced analytics to improve product outcomes across gaming, healthcare, and industrial settings. He has built data tracking frameworks and DBT transformation pipelines, automated reporting with Python, and deployed models that measurably boosted player engagement and retention at Lucky VR and BLAZESOFT. Past projects include a 94% accurate MLP for pharmacy outreach that increased clinical revenue and an autoencoder-based predictive maintenance model that halved unforeseen costs at Teck Resources. Comfortable moving models from research to production, he pairs strong technical depth in ML/Deep Learning with practical BI and dashboarding skills (PowerBI/DAX). A Dalhousie computer science master's graduate, Shakti is notable for combining hands-on pipeline engineering with a persistent curiosity for novel modeling approaches and real-world impact.
8 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Dalhousie University
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at Maharaja Agrasen Institute Of Technology, Delhi
Contributions:4 PRs, 4 pushes, 4 branches in 4 months
python
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