Open to opportunities

Manu Bhat

@manubhat

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

India

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What I'm looking for

I’m targeting entry-level Data Science, Machine Learning Engineering, or Software Development roles where I can build practical ML models, analyze data, and contribute to real-world products.

I built and optimized image-processing ML/DL models at Labmentix Pvt. Ltd., improving model accuracy by approximately 12% through hyperparameter tuning and data augmentation. I also developed end-to-end pipelines for ingestion, preprocessing, training, and evaluation, reporting results with F1-score and AUC-ROC.

My projects include forecasting Yes Bank monthly closing prices across 185 months of data, where XGBoost achieved 90.79% accuracy—18% above the ARIMA baseline. I’ve also developed a flood damage assessment system using Stable Diffusion, TensorFlow, and CNNs that achieved over 85% classification accuracy across 500+ image pairs.

I’m graduating in Information Science with an 8.88 CGPA and enjoy applying Python, SQL, TensorFlow, scikit-learn, and data visualization tools to practical ML, data science, and real-time web problems.

Experience

Work history, roles, and key accomplishments

AI / ML Intern

Labmentix Pvt. Ltd.

Jun 2025 - Sep 2025 (3 months)

Built and optimised ML/DL models using TensorFlow, Keras, and scikit-learn for image-processing tasks; improved model accuracy by ~12% through hyperparameter tuning and data augmentation. Designed end-to-end data pipelines covering ingestion, preprocessing, training, and evaluation; reported results using F1-score and AUC-ROC metrics to senior engineers.

TensorFlow Keras scikit learn Python Data Pipelines Hyperparameter Tuning F1 Score