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Vikram Kumar

@vikramkumar6

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I turn complex data into actionable insights using Python, SQL, machine learning, and dashboards.

Zimbabwe

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What I'm looking for

I'm looking to apply Python, SQL, machine learning, data engineering, and visualization to solve meaningful business problems and help teams make data-driven decisions.

At Celebal Technologies, I built an end-to-end telecom churn prediction pipeline on 7,032 records, achieving 76.7% accuracy and a 0.652 AUC-PR. My analysis identified customer segments with churn rates ranging from 5.7% to 48.6% and estimated ₹4,557 in monthly savings for every 1% churn reduction.

I've also built SQL Server data warehouse and CRM analytics solutions across 18.4M+ records, alongside machine-learning pipelines for tumor-risk prediction. I enjoy using Python, SQL, Power BI, and explainable ML to turn data into decisions.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Celebal Technologies

May 2024 - Jul 2024 (2 months)

* Developed a full end-to-end machine learning pipeline using Python, pandas, scikit-learn, XGBoost, and SHAP on a 7,032-row telecom dataset to predict customer churn with 76.7% accuracy and an AUC-PR of 0.652.
*Engineered meaningful features such as log-transformed TotalCharges, Customer Lifetime Value (CLV), tenure–charge interaction terms, and addressed class imbalance using class_weight='balan