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A data enthusiast by passion, having more than 6 years of experience. Trying to crunch and burn the new oil to drive the car for a great world.
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PwC
Data Scientist
June 16, 2026 – Present
Recommendation-system
September 27, 2019 – October 11, 2019
BUILDING A RECOMMENDATION SYSTEM FOR ELECTRONICS PRODUCT OF AN ECOMMERCE WEBSITE
View ProjectBank-s-telemarketing-subscription
August 10, 2019 – August 12, 2019
The client is from banking sector and they want to predict whether the customer will subscribe to fixed-term deposit products the bank is offering.
View ProjectCustomer-Churn-Prediction_Telecom
August 10, 2019 – September 17, 2020
Look for a general patterns in the data that would help to identify customers that are more likely to churn
View ProjectCustomer-s-subscription-to-perosnal-loan-after-marketing-campaign
August 4, 2019 – August 12, 2019
The client is from baking sector and they wants to leverage customer's information to predict who all can subscribe to personal loan. And, Marketing campaigns were based on phone calls.
View ProjectIdentify-the-potential-customers-having-higher-probability-of-purchasing-the-loan.-
August 3, 2019 – August 12, 2019
Identify the potential customers having probability of purchasing the loan.
View ProjectCultural Fit Analysis
The candidate's projects show a focus on common data science problems (recommendation systems, churn prediction, loan prediction). The current role at PwC as a Data Scientist aligns with the target role. However, the projects primarily use basic tools (Jupyter Notebook, R) and lack diversity in advanced technologies or collaborative aspects, which might indicate a limited exposure to industry-standard MLOps or production environments. The experience level is listed as 0, which contradicts the current role at PwC, suggesting a potential data discrepancy or very early career stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test.