Open to ML Roles

Ayushi Dhimmar

Machine Learning Engineer

I build ML models that solve real problems — not just notebooks.
2 end-to-end projects with measurable results: ROC-AUC 0.83 on churn prediction, R² 0.9786 on price regression.

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ML Projects

0.83

ROC-AUC (Churn Model)

0.9786

R² (Price Predictor)

60K+

Records Trained On

Portfolio

ML Projects

End-to-end ML projects — from data preparation to model evaluation.

models.

Expertise

Skills & Tools

My ML stack — from data prep to model deployment.

Languages

Python SQL

ML & Modelling

Scikit-learn Logistic Regression Random Forest K-Means Classification Regression

Model Evaluation

ROC-AUC Cross-Validation GridSearchCV RMSE R²

Data & Libraries

Pandas NumPy Matplotlib Seaborn

Statistics

Hypothesis Testing Descriptive Statistics Feature Engineering

Tools

MySQL Git Jupyter Notebook

Value

Why Hire Me

What I bring beyond the algorithms.

🎯

Metric-driven results

Every model I build has measurable output — ROC-AUC, R², RMSE. No vague claims, just numbers.

⚙️

End-to-end ML ownership

I handle data cleaning, feature engineering, training, tuning, and evaluation — end to end without hand-holding.

🔬

Validation-first approach

Cross-validation and hyperparameter tuning are standard in my workflow — not afterthoughts.

📐

Reproducible, clean code

My notebooks are structured for others to read and reproduce — not just for me to run once.

Ayushi Dhimmar

ML Projects

Skills & Tools

Why Hire Me

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