KKKajal Kumari
@kajalkumari2
Data scientist focused on predictive analytics and customer retention.
ZimbabweWhat I'm looking for
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.
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.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
Job categories
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