Data Science Masters program from Edureka. Graduated from the University of Mumbai with a Bachelor of Science in Statistics.
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Human_Resource_Management
January 5, 2022 – January 5, 2022
A company has been in industry since a long time. Their business had been increasing quite well over past, however in recent years, there has been a slowdown in terms of growth because their best and most experienced employees leaving prematurely. The VP of the firm is not very happy with the company’s best and most experienced employees leaving prematurely. The VP of the firm has employed you to find out insights in the company employee data and find out an answer as to know why best and most experienced employees are leaving prematurely.
View ProjectAuto_Insurance
January 5, 2022 – January 5, 2022
Auto insurance industry is witnessing a paradigm shift. Since auto insurance is a homogenous good (difficult to differentiate product A from product B), companies are fighting a price war. On top of that,distribution channel is shifting more from traditional insurance brokers to online purchase. This means that ability for companies to interact through human touch point is limited and customer should be quoteda good price. A good price quote is one which makes customer purchase the policy and helps the company to increase the profits.Also, the insurance premium is calculated based on more than 50+ parameters. This means that traditional business analytics-based algorithms are now limited in their ability to differentiate among customers based on subtle parameters.
View ProjectColor-Identification
July 21, 2021 – July 21, 2021
Color-Identification — GitHub repository
View ProjectOptical-Character-Recognition-ORC-
July 19, 2021 – July 19, 2021
Optical-Character-Recognition-ORC- — GitHub repository
View ProjectTask-2-The-Sparks-Foundation
July 11, 2021 – July 11, 2021
Task-2-The-Sparks-Foundation — GitHub repository
View Projectpython-random-quote
January 8, 2021 – January 8, 2021
A file-based quote bot written in Python
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a self-starter attitude with a focus on practical data science applications. The diversity of projects (HR, insurance, image recognition) suggests an openness to different problem domains. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit, especially regarding collaboration and communication within a professional team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into problem-solving approaches or collaboration.