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Data science enthusiast with a very keen interest in predictive modelling, classification problems.Worked on case studies related to telecom and banking domain
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ProactiveAttritionManagment
March 30, 2019 – March 30, 2019
Developed a predictive churn model and incentive plan in R for telecom company with 70k customer records and 75 potential predictor in the database using logistics regression model and clustering techniques.
View ProjectSantanderCustomerTranscationPrediction
March 10, 2019 – March 10, 2019
To identify which customers will make a specific transaction in the future, irrespective of the amount of money transacted. The data provided for this competition has the same structure as the real data we have available to solve this problem.
View ProjectSegmentation_Credit
January 8, 2019 – January 8, 2019
Determine statistical cluster using K-means analysis and define the marketing strategy to increase the customer spend from the dataset which summarize the usage behavior of 9000 active credit cardholders
View ProjectLinerar_same2rM
January 8, 2019 – January 21, 2019
Multivariate linear regression with feature selection.
View ProjectCultural Fit Analysis
The candidate's projects indicate an interest in applying data science to business problems, which aligns with typical data scientist roles. The focus on R suggests a specific technical preference. The diversity of projects (churn, transaction prediction, segmentation) shows a breadth of problem-solving approaches within data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.