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Data Analyst with less than a year in Python & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience building ETL pipelines, real-time data streaming systems, and BI dashboards using Python, PySpark, Apache Kafka, and Power BI. Completed a Data Analysis internship at ili.digital, delivering production-ready pipelines and dashboards for enterprise clients. IBM-certified in Data Analysis with Python.
Lahore Garrison University
Bachelor of Science · Computer Science
August 1, 2023 – June 30, 2025
Riphah International University
Associate Degree · Computer Science
August 1, 2021 – June 30, 2023
ili.digital
Data Analyst
November 1, 2025 – February 1, 2026
Lahore, Punjab, Pakistan
SIP Operations
Business Developer
August 1, 2024 – February 1, 2025
Lahore, Punjab, Pakistan
Azure End-to-End Data Engineering Pipeline
June 1, 2026 – Present
Designed and built an end-to-end data pipeline using Azure Data Factory to extract the Tokyo Olympics dataset from GitHub, load it into Azure Data Lake Gen2, and transform it with PySpark on Azure Databricks following a structured data flow. Stored cleaned data back into Data Lake Gen2 and created a database in Azure Synapse Analytics to enable SQL-based querying, verification, and reporting on the transformed dataset.
View ProjectLive Weather ETL Pipeline
April 1, 2026 – Present
Extracted live weather data from an API, streamed it into Apache Kafka, and processed and cleaned it using PySpark; loaded the transformed data into a MySQL database running inside a Docker container. Connected the Dockerised MySQL database to Power BI and built a live dashboard with DAX measures and dynamic date and time filters to visualise real-time weather KPIs.
View ProjectFIS AIDA (GWM, Mitsubishi)
February 1, 2026 – Present
Utilised an Azure Cloud pipeline for data extraction and transformation following the Medallion Architecture (Bronze, Silver, Gold layers), ensuring clean and reliable data at each stage. Built multi-page interactive dashboards in Apache Superset using SQL to visualise KPIs, trends, and business insights for GWM and Mitsubishi automotive clients.
CBC (Extraction Project)
January 1, 2026 – Present
Extracted and validated large-scale data of a German railways spare parts company to maintain complete data integrity, ensuring accuracy and consistency throughout the extraction pipeline. Managed and organised extracted data efficiently, performing validation checks to support accurate reporting and detailed analysis for stakeholders.
Vehicle Sales & Service Dashboard
October 1, 2025 – Present
Cleaned Excel sales data with Pandas and NumPy, applied DAX formulas, and built an interactive Power BI dashboard to analyse sales trends and service costs. Created dynamic visuals and filters enabling exploration of vehicle sales performance and service cost breakdown across different categories and time periods.
View ProjectE-Commerce Analytics Dashboard
October 1, 2025 – Present
Built an interactive Power BI dashboard using DAX for KPI calculations, analysing e-commerce sales, profits, and regional customer performance. Used DAX measures to calculate KPIs and created dynamic visuals to explore regional sales trends, customer segments, and profitability across product categories.
View ProjectData Analysis with Python
IBM Coursera
October 1, 2025 – Present
Python Development
EXD Excellence Delivered
October 1, 2025 – Present
Full Stack Development
UET Lahore
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic and professional projects demonstrate a strong interest in data analysis and engineering, aligning well with a Data Analyst role. The diversity of projects, from real-time ETL to cloud-based data pipelines and BI dashboards, indicates adaptability and a broad skill set. The internship experience at ili.digital, working with enterprise clients (GWM, Mitsubishi), suggests an understanding of professional environments. However, the candidate's experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on practical application and problem-solving, which aligns with operational roles. Collaboration with an 'extraction team' suggests some teamwork experience. However, the resume does not provide sufficient detail to assess soft skills like leadership, conflict resolution, or advanced communication in a professional setting.