Tejjus Bhat

Data scientist for fintech & research—pragmatic, curious, and fast.

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Quick facts

  • Experience: DRDO/INMAS (research) & Kareai.io (intern)
  • Focus: time series, NLP, LLM apps, applied ML
  • Stack: Python, ML, Deep Learning, SQL, LLM, GCP

Featured work

SaaS Customer Churn Prediction

Predicts churn, explains it with SHAP, and optimizes retention ROI with an interactive dashboard hosted on streamlit.

Machine Learning • XGBoost • EDA

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Diamond Price Prediction

Predicts diamond price using ensemble models with optimized hyperparameters and scaled data for better results.

Machine Learning • XGBoost • Random Forest • Hyperparameter Optimization

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What I’m aiming for

Opportunities where I can apply my knowledge to solve business problems. A place where I can learn and grow with people with a positive mindset.