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Analysis-and-prediction-of-online-shoppers-purchasing-intention-using-various-algorithms-CAPSTONE
October 4, 2020 – March 24, 2021
Build a predictive machine learning model that could categorize users as either, revenue generating, and non-revenue generating based on their behavior while navigating a website. In order to predict the purchasing intention of the visitor, aggregated page view data kept track during the visit along with some session is used and user information as input to machine learning algorithms. Oversampling/Undersampling and feature selection techniques are applied to improve the success rates and scalability of the models.
View ProjectPredictive-Model-for-choosing-correct-shipping-mode-Supply-chain-and-Logistic-Analytics
August 31, 2020 – August 31, 2020
Build a predictive model to ascertain the correct shipping mode and choose the significant predictors wisely.
View ProjectBrand-perception-analysis-Social-media-analytics-Text-mining
August 31, 2020 – August 31, 2020
Do a brand perception of a Twitter trend by extracting Twitter mentions for the brand and conduct text mining (Correlation, Frequency, Topic Modelling, Sentiment Analysis) on it.
View ProjectLoan-Purchase-Modelling-TheraBank
April 16, 2020 – April 16, 2020
Build a model that will help them identify the potential customers who have a higher probability of purchasing the loan.
View ProjectTelecom-Customer-Churn-Prediction-Assessment
April 16, 2020 – April 16, 2020
Simulate one case of customer churn where we work on a data of postpaid customers with a contract. Predict whether a customer will cancel their service in the future or not.
View ProjectForecast-5-year-souvenir-data-sales
April 16, 2020 – April 16, 2020
Forecast 5 years sales of souvenir data using Holts-winters and ARIMA methods.
View ProjectIndia-credit-risk-default-model
April 16, 2020 – April 16, 2020
Creating an India credit risk(default) Logistic Regression model
View ProjectPredicting-Employee-TransportMode
April 16, 2020 – April 16, 2020
Predict whether or not an employee will use Car as a mode of transport from given employee information about their mode of transport as well as their personal and professional details like age, salary, work exp. Also, which variables are a significant predictor behind this decision?
View ProjectCultural Fit Analysis
The candidate's projects are all personal and demonstrate a strong interest in applying data science techniques to various problems. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The projects align well with the analytical nature of a Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on problem-solving and analytical thinking, which are beneficial for a Data Scientist role.