Open to opportunities

Kajal Kumari

@kajalkumari2

Message

Data scientist focused on predictive analytics and customer retention.

Zimbabwe

Message

What I'm looking for

I seek a role where I can apply predictive modeling and data visualization to reduce churn, collaborate cross-functionally, and grow technical impact in data-driven product decisions.

I am a data scientist specializing in end-to-end predictive analytics for customer behavior, with hands-on experience cleaning and preprocessing data, engineering features, and performing exploratory analysis to uncover churn drivers.

I have built and evaluated classification models including Logistic Regression and Decision Tree, using metrics such as accuracy, precision, recall, F1-score, ROC curve, and AUC to select the best-performing solutions that inform retention strategies.

Experience

Work history, roles, and key accomplishments

Data Scientist

Unknown

Developed an end-to-end customer churn prediction system for telecom data, performing data cleaning, feature engineering, and EDA to identify churn drivers and improve retention modeling; selected best-performing classifier using accuracy, F1 and AUC metrics.

Pandas SQL scikit learn Matplotlib SeaBorn Power BI Model Evaluation

Education

Degrees, certifications, and relevant coursework

Customer Churn Prediction & Retention Analysis (Project)

Project, Data Science / Machine Learning

Activities and societies: Implemented models (Logistic Regression, Decision Tree); evaluated with accuracy, precision, recall, F1, ROC/AUC; tools: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, SQL, Power BI, DBMS, C++.

Developed an end-to-end customer churn prediction system using data cleaning, preprocessing, exploratory analysis, and feature engineering on telecom customer data; built and evaluated classification models to identify key churn drivers and select the best-performing model.