I will train, tune and evaluate machine learning models in python

S
sahilskhan
S
sahilskhan
Sahil S.

About this gig

Your model is only as good as its evaluation. I train, tune and honestly evaluate machine learning models on YOUR data so you know exactly how well your model performs before you rely on it for real decisions.


I'm Sahil, an AI/ML Engineer. My own projects include a Flight Delay Predictor (XGBoost, end-to-end pipeline with Streamlit + FastAPI) and Loan Prediction models (ML + deep-learning classification) built with proper preprocessing, pipelines and evaluation, not just a quick .fit().


What I do:

Data preprocessing & feature engineering (pipelines, no data leakage)

Model training with scikit-learn & XGBoost classification and regression

Hyperparameter tuning & cross-validation

Honest evaluation: accuracy, F1, precision/recall, ROC-AUC / RMSE, MAE, R²

Model comparison with charts: confusion matrix, feature importance, learning curves

A clear report explaining what the numbers mean and what to improve next


You receive the trained model file, a clean annotated notebook, and an evaluation report you can actually act on.


Not sure which package fits? Send me your dataset and target column before ordering I'll tell you honestly.

Get to know Sahil S.

Sahil S.

AI ML Engineer

  • FromIndia
  • Member sinceNov 2024
  • Avg. response time4 hours
  • Languages

    English
I'm Sahil, an AI-ML Engineer and Python developer. I build Streamlit dashboards, machine learning models with scikit-learn and XGBoost, and Python automation scripts. I work with Python, Pandas, Streamlit, and FastAPI. Projects: Flight Delay Predictor (XGBoost + FastAPI + Streamlit), loan prediction models with ML and deep learning, and Preecode, a VS Code extension with 100+ downloads. GDG Hackathon winner, Top 10 Google Gen AI Hackathon. I communicate clearly and deliver on time. I also build full-stack web apps and AI agents/automation with n8n, Make, Zapier, and WhatsApp/voice agents.

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