Farjad Zeya

Applied machine learning techniques to predictive analysis on structured tabular data. Demonstrated strong grasp of the end-to-end ML pipeline, independently handled data preprocessing challenges, and proactively addressed issues like class imbalance and overfitting. Sought input on enhancements and quickly implemented suggestions, resulting in measurable improvements to models and overall project quality.

Intern - Cochain LLC - Remote (based in India)

(2025-05 - 2025-08)

Applied machine learning techniques to predictive analysis on structured tabular data. Demonstrated strong grasp of the end-to-end ML pipeline, independently handled data preprocessing challenges, and proactively addressed issues like class imbalance and overfitting. Sought input on enhancements and quickly implemented suggestions, resulting in measurable improvements to models and overall project quality.

• Exploratory data analysis
• Feature engineering
• Model selection (e.g., logistic regression, random forests, and gradient boosting)
• Hyperparameter tuning
• Performance evaluation using metrics like accuracy and F1-score