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M-S-Avishkar-Tech-Solutions-task-
March 12, 2021 – March 12, 2021
M-S-Avishkar-Tech-Solutions-task- — GitHub repository
View ProjectDecision-Trees-and-Random-Forest-Project
March 8, 2021 – March 8, 2021
For this project we will be exploring publicly available data from LendingClub.com. Lending Club connects people who need money (borrowers) with people who have money (investors). Hopefully, as an investor you would want to invest in people who showed a profile of having a high probability of paying you back. We will try to create a model that will help predict this. Lending club had a very interesting year in 2016, so let's check out some of their data and keep the context in mind. This data is from before they even went public. We will use lending data from 2007-2010 and be trying to classify and predict whether or not the borrower paid back their loan in full. You can download the data from here or just use the csv already provided. It's recommended you use the csv provided as it has been cleaned of NA values.
View ProjectK-Nearest-Neighbours-Project
March 8, 2021 – March 8, 2021
K-Nearest-Neighbours-Project — GitHub repository
View ProjectLogistic-Regression
March 8, 2021 – March 8, 2021
In this project we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user.
View ProjectLinear-Regression-Project
March 7, 2021 – March 7, 2021
Linear-Regression-Project — GitHub repository
View Project911-Calls-Capstone-Project
March 3, 2021 – March 5, 2021
For this capstone project we will be analyzing some 911 call data from Kaggle.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on foundational machine learning concepts. While this shows initiative, there is no evidence of collaborative work, diverse team environments, or contributions to larger systems. The project descriptions are very brief, making it difficult to assess the depth of engagement or problem-solving approach. The target role is 'Data Scientist', and the projects align with foundational data science tasks, but lack complexity or real-world deployment experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.