Interest in building AI and ML Models
1 skill backed by real projects on this profile.
Factories struggle to answer buyer sustainability questions using scattered operational logs. Process Built a simple batch-based sustainability workflow with transparent scoring and PDF reports. Results Generated transparent sustainability scores and buyer-ready PDF reports for production batches. Reflection Improve offline support and automate utility bill parsing.
Analyze IPL ball-by-ball data to identify how toss outcomes, scoring phases, player consistency, and chasing behavior associate with match success across seasons. Process Loaded and cleaned multi-season IPL datasets, engineered tactical match features, generated analytical visualizations, and interpreted trends through evidence-based cricket analytics using Python, Pandas, Matplotlib, and Seaborn. Results Analyzed 1,218 IPL matches and identified death-over scoring efficiency as more strongly associated with winning outcomes than toss advantage. Reflection Expand the analysis using venue-specific trends, predictive modeling, and interactive real-time analytics dashboards.
This is Mohanraj’s work on Wooble.
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