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cairo-egypt-orphanage-well-being
July 4, 2023 – September 23, 2023
cairo-egypt-orphanage-well-being — GitHub repository
View Projectnigeria-chapter-interactive-chatbot
July 4, 2023 – January 24, 2024
nigeria-chapter-interactive-chatbot — GitHub repository
View ProjectSaloniJhalani.github.io
July 2, 2023 – July 13, 2023
SaloniJhalani.github.io — GitHub repository
View ProjectStock-Market-Live-Sentiment
June 30, 2023 – August 8, 2023
This exciting project creates an interactive stock sentiment visualization tool using Python, gathering real-time data from the internet to help investors make informed decisions in the dynamic world of stocks.
View ProjectCredit-Card-Segmentation
June 27, 2023 – June 28, 2023
The objective of this analysis is to divide the credit card customers into distinct segments based on specific characteristics.
View ProjectBank-Customer-Churn-Prediction
June 27, 2023 – June 27, 2023
This repository contains a comprehensive solution for predicting bank customer churn using machine learning techniques.
View ProjectChatGPT-Reviews-Sentiment-Analysis
June 26, 2023 – June 27, 2023
This project focuses on performing sentiment analysis on ChatGPT reviews obtained from the App Store.
View ProjectFood-Delivery-Time-Prediction-Model
June 26, 2023 – June 27, 2023
Leveraging advanced data cleaning techniques and feature engineering, a robust food delivery prediction model was developed using regression algorithms.
View ProjectEntrepreneurs-Image-Classifier
April 10, 2023 – August 24, 2023
The Entrepreneur's Image Classification Project focuses on building an end-to-end model to classify images of five entrepreneurs sourced from the internet.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. The diversity of projects (churn prediction, sentiment analysis, image classification, credit card segmentation) indicates a broad curiosity and willingness to explore different problem domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects align well with a Data Scientist role, showing initiative and self-directed learning.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.