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Data Analyst with less than a year in ETL, Data Visualization, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic candidate seeking an internship or entry-level role in Data Analytics, Data Engineering, and Business Intelligence. Eager to apply theoretical knowledge in data cleaning, visualization, and analysis to solve real-world problems. Ready to contribute innovative solutions for data-driven decision-making and learn from experienced professionals. A quick learner with a logical mindset and a go-getter, can-do attitude.
University of Central Punjab
BS · Data Science
October 1, 2022 – July 1, 2026
Medallion Architecture Pipeline
October 1, 2022 – July 1, 2026
Problem: Raw data required systematic refining for high-performance downstream analytics and querying. Solution: Implemented a Medallion Data Architecture (Bronze, Silver, Gold) integrating Azure and Databricks. Impact: Delivered a scalable workflow that systematically processed data for robust business intelligence.
NexaMart Data Warehouse
October 1, 2022 – July 1, 2026
Problem: Needed a reliable architecture to manage complex retail data and evaluate overall backend pipeline. Solution: Designed an end-to-end Medallion Architecture (Bronze, Silver, Gold layers) using Databricks for data processing and Snowflake for robust warehousing. Impact: Accurately tracked system counts, validated precise figures for inventory movements, and connected the Gold layer to Power BI for seamless business reporting.
E-Commerce Sales Analytics
October 1, 2022 – July 1, 2026
Problem: Stakeholders lacked visibility into key sales performance metrics and customer behavior trends. Solution: Designed an interactive Power BI dashboard using DAX modeling and custom KPI design. Impact: Delivered actionable insights, improving the tracking of product trends and overall revenue metrics.
Open Source Data Gathering (OSDG) - Final Year Project (FYP)
October 1, 2022 – July 1, 2026
Problem: Existing OSINT tools were expensive and highly fragmented, making it difficult to consolidate scattered public data. Solution: Engineered a unified, query-based backend utilizing Python and FastAPI to ethically aggregate and clean data from 30+ public APIs, storing it securely in PostgreSQL. Impact: Transformed unstructured data into an interactive visual graph, enabling users to seamlessly track digital footprints and map complex network connections in real-time.
Retail Store Analysis with Machine Learning
October 1, 2022 – July 1, 2026
Problem: Needed to identify customer patterns and predict high-value customers for targeted marketing. Solution: Performed EDA using Python and SQL, building a Random Forest model. Impact: Successfully identified key features and patterns to optimize data-driven marketing decisions.
Data Analysis using Advance Excel and SQL
Dice Analytics
June 1, 2026 – Present
Awarded 100% Scholarship
Dice Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data science techniques, from OSINT to retail analytics and machine learning. The pursuit of a scholarship and certifications indicates a strong drive for continuous learning and self-improvement. The variety of tools and platforms used (Python, SQL, Azure, Databricks, Snowflake, Power BI) suggests adaptability and a broad interest in the data domain, which aligns well with a dynamic, learning-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from academic achievements and project descriptions.
Soft Skills & Operational Fit
The candidate's profile summary highlights a 'logical mindset' and 'go-getter, can-do attitude,' which are positive indicators for operational fit. The project descriptions are clear and problem-solution-impact oriented, suggesting good communication skills. However, without actual work experience or completed psychometric tests, it's difficult to fully assess stress handling, team collaboration, or advanced problem-solving in a professional setting.