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Kartik Sonani

@kartiksonani

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Data Scientist building churn prediction and RAG document pipelines that turn messy data into usable insights.

India

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What I'm looking for

I’m looking for a role where I can build predictive models and RAG-based systems, work with Python/SQL and dashboards, and turn unstructured documents into searchable, context-aware experiences for real users.

I build end-to-end data science solutions with Python and SQL, from data cleaning and EDA to feature engineering and predictive modeling. I’ve worked on customer churn prediction using Python and scikit-learn, and I’ve built interactive dashboards with Power BI.

I also developed Retrieval-Augmented Generation (RAG) pipelines using LangChain, embedding models, and vector databases for context-aware retrieval. In parallel, I’ve worked on document ingestion, semantic search, OCR, and conversational AI flows.

Outside of work, I’ve shipped projects like a Loan Approval Prediction system with Streamlit and a Store Analytics Dashboard in Power BI. I also built and deployed a RAG-based medical chatbot that indexes medical textbooks, retrieves top-k context, and answers questions through a Streamlit interface.

Experience

Work history, roles, and key accomplishments

Data Science Trainee

Dominant Infotech

Jan 2026 - Mar 2026 (2 months)

Developed customer churn prediction models using Python and Scikit-learn. Built RAG pipelines using LangChain and vector databases for context-aware information retrieval.

Python scikit learn Lang Chain Vector Databases Prompt Engineering Data Cleaning EDA