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Data Engineer with 1+ years in Python, SQL, and cloud platforms.
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Assessing your cultural and operational fit
I Am a Computer Science Undergraduate With a Strong Interest In Data Engineering. Currently In The Final Stages Of My Fourth Year, I Am Actively Enhancing My Skills And Knowledge In Data Engineering Tools And Concepts. With a Focus On Learning And Applying Efficient Data Solutions, I Aim To Build a Career Creating Impactful Data-Driven Systems. Currently Pursuing a Diploma In Data Engineering At Smit And Actively Developing Skills In Python, Sql, Data Pipelines, And Etl Processes. Eager To Apply Academic Knowledge And Technical Skills To Create Efficient, Data-Driven Solutions.
SMIT (Zaitoon Ashraf IT Park)
Diploma · Data Engineering
August 1, 2026 – Present
Iqra University
Bachelor Of Science · Computer Science
August 1, 2022 – June 30, 2026
Trueman Schooling System
IT Administrator & Computer Science Instructor
January 1, 2023 – January 1, 2024
India
Interactive Source
Sales Executive
January 1, 2022 – January 1, 2023
India
End -To-End Retail Data Pipeline & Analysis
June 25, 2026 – Present
Built Etl Pipeline Using Python To Clean And Transform Retail Dataset . Loaded Processed Data Into Sql Server For Analysis . Performed Sql Analysis Using Ctes And Window Functions. Generated Insights On Top Products, Regional Sales, And Growth Trends.
View ProjectEcommerce Store Sales Analysis Using Pyhthon (EDA)
June 25, 2026 – Present
Performed Data Cleaning And Preprocessing Using Pandas (Handled Null Values, Removed Columns, Changed Data Types). Conducted Exploratory Data Analysis (Eda) Using Numpy, Pandas, Matplotlib, And Seaborn . Analyzed Customer Behavior Based On Gender, Age Group, State, Occupation, And Product Categories. Created Visualizations To Identify Sales Trends And Top-Performing Segments. Generated Insights Showing Key Customer Groups And High-Demand Product Categories.
View ProjectSupermarket Sales Analysis & Visualization
June 25, 2026 – Present
Imported And Structured Raw Sales Dataset For Analysis Using Python. Performed Data Cleaning And Transformation (Removed Irrelevant Fields, Handled Missing Values). Analyzed Sales Performance Across Different Cities, Product Lines, And Payment Methods. Evaluated Customer Purchase Behavior To Identify High-Performing Segments. Created Visual Insights Using Matplotlib And Seaborn For Better Decision-Making.
View ProjectHr Analytics Dashboard (Power BI)
June 25, 2026 – Present
Developed An Interactive Hr Analytics Dashboard In Power Bi To Visualize Employee Data. Analyzed Key Hr Metrics Such As Employee Attrition, Headcount, And Satisfaction Levels. Created Kpis For Workforce Distribution, Turnover Rate, And Departmental Analysis. Designed Visual Reports Using Charts, Graphs, And Slicers For Dynamic Filtering. Identified Patterns In Employee Attrition To Support Hr Decision-Making.
View ProjectEcommerce Sales Analysis Dashboard (Power BI)
June 25, 2026 – Present
Developed An Interactive E-Commerce Dashboard In Power Bi To Analyze Sales Performance. Built Kpis Including Total Sales, Profit, Order Quantity, And Customer Trends. Visualized Data Using Bar Charts, Line Charts, Pie Charts, And Maps For Better Insights. Analyzed Product Category Performance And Top-Selling Products. Enabled Dynamic Filtering Using Slicers For Region, Category, And Time Period. Provided Business Insights To Improve Sales Strategy And Decision-Making.
View ProjectCultural Fit Analysis
The candidate shows a strong interest in data engineering, evidenced by personal projects and ongoing diploma. The projects demonstrate initiative and a self-driven learning approach. However, the professional experience is not directly in data engineering, which might require a higher degree of mentorship and ramp-up time in a professional data engineering team. The diversity of projects (retail, e-commerce, HR analytics) shows a broad interest in applying data skills across different domains.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Critical Thinking, Leadership, Project Management, Effective Communication, and Teamwork. While these are valuable, the professional experience as an IT Administrator and Sales Executive does not directly demonstrate these in a data engineering context. The project descriptions are clear and structured, indicating good communication in written form. The candidate's interest in problem-solving aligns with the analytical nature of data engineering.