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Aiman Ishaq

@aimanishaq1

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Data Analyst building end-to-end ML pipelines and BI dashboards with Python, SQL and Power BI to drive clear decisions.

Pakistan

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What I'm looking for

I’m looking for a Data Analyst role where I can use Python/SQL and build BI dashboards plus predictive models, work independently, and communicate results clearly to support real business decisions.

I’m a Computer Science student and Data Analyst Intern who builds end-to-end ML pipelines and business intelligence dashboards. I’ve completed multiple data projects where I document my code, share GitHub repos, and communicate findings in plain language so stakeholders can act quickly.

In my internship, I run EDA on datasets, build predictive models, and evaluate performance with clear metrics. I developed a credit risk model on 614 loan records (Logistic Regression 77% accuracy; Decision Tree 73%), trained churn classifiers on 7,043 customers (Random Forest 87% accuracy and 0.87 AUC), and predicted insurance charges with Linear Regression (R-squared 0.75, MAE 4,186 USD, RMSE 6,047 USD). I also delivered dashboard-ready insights and trained models for large-scale loan acceptance using 45,211 Bank Marketing records.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst Intern

Current

Developers Hub Corporation

Mar 2026 - Present (3 months)

Performed EDA on a 150-record Iris dataset and built credit risk, churn, and insurance pricing models using Python (pandas) and scikit-learn, achieving up to 77% logistic regression accuracy, 87% Random Forest accuracy with 0.87 AUC, and R²=0.75 (MAE=$4,186) for linear regression. Identified Credit History as the top predictor (0.56 correlation) and delivered a loan acceptance model with 81% decis

Python Pandas scikit learn Logistic Regression Decision Trees Random Forest