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Data Engineer
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Searce Inc.
Data Engineer
June 13, 2026 – Present
Docker_Practice
May 17, 2025 – May 17, 2025
This repo is for beginners level practice of Docker
View ProjectSQL-Datawarehouse-Project
February 26, 2025 – February 27, 2025
A comprehensive SQL Data Warehouse project demonstrating dimensional modeling, ETL processes, and analytics for structured data management.
View ProjectTeam-Member-Classification-using-CNN
February 4, 2025 – February 18, 2025
Repo for Image Classification using CNN ML Project
View ProjectQatar-Airways-Data-Analysis
March 22, 2024 – February 19, 2025
Qatar-Airways-Data-Analysis — GitHub repository
View ProjectCredit-Card-Approval-System
February 2, 2024 – February 2, 2024
The project aims to enhance credit risk assessment using machine learning techniques, thereby ensuring loans are granted to reliable individuals. By leveraging advanced data analysis and machine learning models, the project aims to streamline decision-making processes in credit card approval, reducing the risk of financial losses for banks.
View ProjectEDA-Sugarcane-Production-in-World
January 14, 2024 – January 26, 2024
This repository contains a Jupyter Notebook that performs an analysis of sugarcane production data using Python and popular data analysis libraries such as Pandas, Seaborn, and Matplotlib
View ProjectExcel-Dashboard-Project-Car-Sales-by-Model
December 4, 2023 – December 4, 2023
Data Analysis and Dashboarding using Excel on Car sales by model Dataset
View ProjectSQL-Project-Data-Analysis-Classic-Models
November 30, 2023 – January 26, 2024
Data Analysis using MySQL on Classic Models Dataset
View ProjectSQL-Data-Analysis-Healthcare-Project
October 1, 2023 – March 18, 2025
SQL - Healthcare Dataset Analysis
View ProjectCultural Fit Analysis
The candidate's personal projects show a proactive learning attitude and a diverse set of interests within data science and engineering. Projects like 'Credit-Card-Approval-System' and 'SQL-Datawarehouse-Project' indicate an understanding of business applications and structured data management, which aligns with typical data engineering responsibilities. The variety of tools used (SQL, Python, PySpark, Docker, Jupyter Notebook) suggests adaptability and a willingness to explore different technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.