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xdityx/README.md

Aditya Acharya

Causal ML & Uplift Modeling | Azure Data Scientist Associate | MLOps

Data Scientist focused on building production-ready machine learning systems for customer analytics, forecasting, and decision intelligence.

Skills

Python Scikit-Learn LightGBM MLflow Docker FastAPI Azure

Featured Projects

Uplift Modeling

Built causal ML pipelines for treatment effect estimation and targeting optimization using uplift modeling frameworks.

Churn MLOps

Developed an end-to-end churn prediction workflow with experiment tracking, deployment, and monitoring.

UK Gas Forecasting

Created a time-series forecasting solution for UK gas demand using weather-driven features and machine learning models.

Certifications

  • Microsoft Azure Data Scientist Associate (DP-100) — Completed

Connect

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  1. profit-uplift-modeling-system profit-uplift-modeling-system Public

    Causal uplift modeling system for customer targeting and marketing ROI optimization

    Jupyter Notebook 4

  2. A-B-Testing-Framework A-B-Testing-Framework Public

    Production-grade A/B testing framework with Bayesian analysis, sequential testing, and causal validation

    Python 5

  3. Churn-Mlops-System Churn-Mlops-System Public

    Production ML system for churn prediction with data drift detection, monitoring, and Prefect orchestration

    Python 4

  4. xoserve-uk-gas-demand-forecasting xoserve-uk-gas-demand-forecasting Public

    Time-series forecasting for UK gas demand using ARIMA, SARIMA, and weather features

    Jupyter Notebook 4