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PYTHON-NMD_PVT_LTD
January 28, 2025 – February 3, 2025
PYTHON-NMD_PVT_LTD — GitHub repository
View Project-Banking-Analytics-Dashboard
January 13, 2025 – January 13, 2025
The **Banking Analytics Dashboard** project uses SQL for data cleaning and Power BI for visualization. It features key metrics like total account balance, loans, and transactions. Interactive filters and visuals provide insights into loan types, recovery rates, and customer trends, supporting data-driven decisions in banking.
View ProjectCustomer-Churn-Analysis
January 13, 2025 – January 13, 2025
A comprehensive analysis of customer churn using SQL, exploring factors like demographics, service usage, payment plans, customer behavior, and satisfaction. This project aims to identify patterns and insights that affect customer retention and churn.
View ProjectBank-Analysis-Dashboard
January 2, 2025 – January 13, 2025
This project aims to identify and recommend suitable financial products to existing bank customers. By analyzing customer data, such as transaction history and account status, we can identify potential buyers for products like credit cards, loans, and savings accounts. This will help the bank increase sales, enhance customer satisfacation.
View ProjectLive_Project_NMD
December 6, 2024 – December 7, 2024
Live_Project_NMD — GitHub repository
View ProjectShopping-Web-By-Revan
September 15, 2024 – September 15, 2024
The project uploaded is an e-commerce website built with HTML, CSS, and JavaScript, featuring product listings, shopping cart functionality, promotional banners, and responsive design for mobile and desktop views.
View ProjectCultural Fit Analysis
The candidate's projects show a focus on data analysis and web development. While some projects align with a Data Scientist role (e.g., 'Banking Analytics Dashboard', 'Customer Churn Analysis'), others are primarily front-end web development ('Shopping-Web-By-Revan', 'Sushi'). This indicates a broad interest but a less focused alignment with a dedicated Data Scientist role without further specialization. The lack of professional experience or team projects makes it difficult to assess cultural fit beyond individual project contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but there is no information on collaboration, communication, or problem-solving in a team context.