Knowing is not enough, we must apply. Data is the new oil.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Health_Insurance_Fraud
November 12, 2020 – October 16, 2023
India is a huge market for insurance but the industry is bleeding losses due to fraud. Insurance fraud leads to around Rs 40,000 crore every year and makes up for 8.5 per cent of the revenue that the industry generates.
View ProjectDecision-Tree
October 20, 2020 – October 20, 2020
For the given ‘Iris’ dataset, create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly
View ProjectK-Nearest-Neighour
October 20, 2020 – October 20, 2020
From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
View ProjectCultural Fit Analysis
The candidate's projects indicate an interest in applying data science to real-world problems (e.g., fraud detection, loan prediction). However, the projects are all personal and relatively basic, suggesting a foundational understanding rather than senior-level experience. The breadth of skills is limited to core data science algorithms and basic tools. Without professional experience or more diverse projects, assessing cultural fit beyond a basic interest in the field is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience level is 0, and no psychometric or English test results are available for evaluation.