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Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Pull Sharkx2

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charanteja25/README.md

Hi 👋 My name is Charan Gunisetty

Data & AI Scientist · Technical Consultant @OCTONEXUS POWER

I build ML systems and LLM-powered workflows that reach production — not just notebooks. Passionate about applying AI to real-world problems in energy, finance, and logistics.

  • 🌍 Based in Hyderabad, India — open to roles in India, and UK roles with visa sponsorship
  • 🚀 Building fuel cell & green hydrogen AI solutions at OCTONEXUS POWER
  • 🌱 Co-founder of Aamrutham — agri e-commerce platform
  • 📄 Sole author of an ICLR 2027 submission on LLM compliance verification: compliance-verification-benchmark
  • 🔧 Open-source energy software: pull requests to FlexMeasures and OpenSTEF — see my contribution graph below
  • ✍️ Writing about RAG, Databricks and data engineering on Medium
  • 🤝 Open to collaborating on ML, LLM agents, or data engineering projects
  • ✉️ charanteja.teja25@gmail.com

🌐 Socials

LinkedIn Medium GitHub

💻 Skills

Python PyTorch TensorFlow scikit-learn LangChain Hugging Face MLflow Anthropic pandas NumPy Jupyter Plotly Spark Databricks Delta AWS Azure PostgreSQL MySQL Docker Git

Also: Tableau · Power BI · PySpark · Azure Data Factory · Mathematica · SQL · AWS Glue / Athena / Redshift

✍️ Latest Writing on Medium

➡️ Read all articles on Medium

📊 GitHub Stats

🏆 GitHub Trophies

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  1. extreme-weather-management extreme-weather-management Public

    Extreme weather prediction system for offshore operations — part of a Digital Innovation Award-winning project

    HTML

  2. H2 H2 Public

    ML pipeline predicting green hydrogen energy usage — time-series forecasting with Python and scikit-learn across real energy datasets

    Jupyter Notebook

  3. HousingCreditDefaultRisk HousingCreditDefaultRisk Public

    Credit default risk prediction — supervised ML (gradient boosting, logistic regression) on large imbalanced financial dataset

    Jupyter Notebook 1

  4. TOSSIB TOSSIB Public

    Predictive churn model built for the TOSSIB research project — Python, classification models, exploratory data analysis

    Jupyter Notebook

  5. agency-agents agency-agents Public

    Forked from sbkwrites/agency-agents

    Autonomous AI agent framework — specialized agents for data extraction, summarisation, and task completion using LangChain and foundation models (GPT, Claude)

    Shell