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FRSPL
Data Scientist
June 13, 2026 – Present
Automation
September 17, 2024 – September 17, 2024
This is my Repo for selenium related work
View Projectfinancial-distress-prediction
April 22, 2021 – April 22, 2021
Financial Distress Prediction
View ProjectCardiovuscular-Disease
January 20, 2021 – January 20, 2021
Machine learning app for cardiovascular disease prediction using flask
View ProjectReviews-Sentiment-Prediction
January 9, 2021 – January 9, 2021
The business works and depends on reviews. In this project we need to predict the reviews that have been gathered based on products. Based on the review text provided, we need to predict whether the feedback has a positive or negative sentiment
View ProjectAdvertisement_Success_Prediction
January 9, 2021 – January 9, 2021
In this project we are doing assessment on the revenue that can be generated by a proposed ad. Based on the demographic information provided, we need to predict whether the revenue generated will cover costs to produce and air the ad(Whether there will be a net gain from an ad or not)
View ProjectTravel-Insurance-Claim
January 9, 2021 – January 11, 2021
Travel Insurance Claim Prediction Hackathon organized by GreyAtom Institute of Data Science
View ProjectTravel-Insurance-Claim
January 9, 2021 – January 11, 2021
Travel Insurance Claim Prediction Hackathon organized by GreyAtom Institute of Data Science
View Projectemployee-attrition-prediction
December 2, 2020 – December 2, 2020
Employee Attrition Prediction
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on various predictive modeling tasks within data science, indicating a clear interest in the target role. However, the projects are all personal and lack diversity in terms of team collaboration, complex system integration, or diverse industry applications. The listed experience as 'Data Scientist' at FRSPL with a future start date (2026) and current status is unusual and suggests a lack of actual professional experience, which impacts cultural fit for a senior role requiring proven collaboration and impact.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests with scores to evaluate these aspects.