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-Credit_Card_Case_Study_To_identify_the_Right_Customers
October 28, 2020 – October 28, 2020
-Credit_Card_Case_Study_To_identify_the_Right_Customers — GitHub repository
View ProjectTelecom_Churn_Case_Study
October 28, 2020 – October 28, 2020
A Project whose business objective is to predict the churn in the last (i.e. the ninth) month using the data (features) from the first three months. To do this task well, understanding the typical customer behaviour during churn will be helpful.
View ProjectLead_Scoring_Case_Study_
October 28, 2020 – October 28, 2020
A Machine Learning Project used to build a Logistic Regression Model. The main objective of this project is to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads. A higher score would mean that the lead is hot, i.e. is most likely to convert whereas a lower score would mean that the lead is cold and will mostly not get converted.
View ProjectCategorization_of_Countries
October 28, 2020 – October 28, 2020
A Clustering and PCA Assignment
View ProjectCar_Price_Prediction_Project_Linear_Regression
October 28, 2020 – October 28, 2020
Project For Predicting Car Prices. This is a basic Linear Regression Project.
View ProjectCredit-Card-Fraud_Detection-Analysis
December 25, 2019 – October 28, 2020
Credit-Card-Fraud_Detection-Analysis — GitHub repository
View ProjectGDP_Analysis
December 25, 2019 – December 25, 2019
You are working as the chief data scientist at NITI Aayog, reporting to the CEO. The CEO has initiated a project wherein the NITI Aayog will provide top-level recommendations to the Chief Ministers (CMs) of various states, which will help them prioritise areas of development for their respective states. Since different states are in different phases of development, the recommendations should be specific to the states. The overall goal of this project is to help the CMs focus on areas that will foster economic development for their respective states. Since the most common measure of economic development is the GDP, you will analyse the GDP of the various states of India and suggest ways to improve it. The data is sourced from https://data.gov.in/, an Open Government Data (OGD) platform of India. There are two parts to this project. In the first part, you will analyse and compare the GDPs of various Indian states (both total and per capita). The GDP of a state is referred to as the GSDP
View ProjectData_Science-Uber_Supply_Demand_Gap
December 25, 2019 – December 25, 2019
The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation. As a result of your analysis, you should be able to present to the client the root cause(s) and possible hypotheses of the problem(s) and recommend ways to improve them
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on Data Science and Machine Learning, which aligns with the 'Data Science and Artificial Intelligence Intern' target role. However, the projects are all personal and lack diversity in team collaboration or real-world application beyond case studies. The 'kafeneio' project, while showing some web development skills, is an outlier and doesn't strongly contribute to the target role's cultural fit. The overall breadth of skills beyond Jupyter Notebook for data science is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed.