Neuro-Symbolic-Causal AI Agent — Project Chimera 🌌 | Open-source hybrid intelligence
DeepEcon: Your one-stop Python package for econometric algorithms.
Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.
DoWhy/EconML toolkit for visualizing causal paths and estimating treatment effects
Internship Project on Causal Inference (The causal effect of multi-level treatment of intervention using observational data).
Causal analysis to predict factors affecting employee resignation using the Causal Inference method on company datasets.
A complete end-to-end AI experimentation & causal inference project using A/B testing, X-Learner, CATE estimation, and uplift segmentation on 1.5M+ synthetic SaaS behavioral records. Includes statistical analysis, causal ML workflow, uplift modeling, feature importance, and business-ready insights for AI feature rollout & monetization.
estimate CATE and deploy uplift‑based targeting models that replace or augment traditional A/B testing.
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