Open to opportunities

Nakul Deotale

@nakuldeotale

Message

I build and deploy machine learning models for real-world prediction problems.

India

Message

What I'm looking for

I'm looking for opportunities to apply machine learning, data analysis, and Python to real-world problems while growing through collaborative work and practical model development.

I've built predictive machine learning models for stock prices, wildfire risk, game outcomes, and customer churn using Python-based data science tools.

During my Machine Learning internship at Infosys Springboard, I developed an LSTM model to forecast Microsoft stock prices from historical time-series data, achieving an RMSE of 0.023 and an R-squared score of 96.4%.

I've also deployed real-time prediction applications with Flask and Streamlit, including a Fire Weather Index model with 98.1% R2 and a customer churn ANN that reached 86% accuracy. I enjoy using data analysis, feature engineering, and model evaluation to solve practical problems.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Infosys Springboard

Jun 2024 - Aug 2024 (2 months)

Designed and implemented an LSTM model to predict Microsoft stock prices based on historical time series data. Successfully improved model performance, achieving a RMSE of 0.023 and R-squared of 96.4%.

NumPy Pandas Matplotlib scikit learn TensorFlow Keras