A detail-driven Data Strategist and Systems Engineer with a rigorous foundation in corporate finance. I specialize in translating complex operational datasets into actionable intelligence, building high-performance local data engineering utilities, and securing software workflows.

• 📊 What I Do: Data Analyst & Analytics Specialist specializing in Python, SQL, Power BI, and local-first data engineering tools.
• ⚡ Currently Building: Automated data pipelines, issue-tracking scrapers, and SQL performance benchmarks (data-engine-benchmarks, duck-diff).
• 🐙 Open Source: Active contributor to data parsing and transformation ecosystems (sqlglot, ibis-project, scikit-learn).
• 🌱 Currently Exploring: Advanced DuckDB optimizations and high-performance local data tooling.
• 🤝 Open to: Roles in Data Analytics, Analytics Engineering, or Open-Source collaborations.

I actively contribute to the core infrastructure of major Python data ecosystems and machine learning frameworks:

🛡️ Adexa | Unit Testing & Security (PR #10)
Context: The AI engine lacked coverage to verify if its automated repair strategies were successfully mitigating SQL injection vulnerabilities.
What I Built: Engineered over 300 lines of comprehensive unit tests in test_repair_strategies.py. Validated the engine's behavior against standard SQL injection patterns to ensure generated code patches meet strict security standards. (Stack: Python, Pytest)

⚙️ py-simple-wrap | Core Implementation & Mocking (PR #199)
Context: The repository required tests for an easy_sql utility, but the base module itself was missing from the core directory.
What I Built: Developed the core easy_sql.py execution module to handle sqlite3 connections. Concurrently built the testing suite (test_easy_sql.py), utilizing unittest.mock.patch and MagicMock to isolate the database connection and validate query execution flows without requiring a live local database. (Stack: Python, SQLite3, Pytest, Unittest.mock)

I design and build high-performance, air-gapped local-first tools for developers and data teams:

• 🛡️ repo-doctor — Automated codebase diagnostic and health-check runner auditing secrets, licenses, and AI-readiness.
• 🚀 duck-diff — High-speed data schema and table diffing utility leveraging embedded DuckDB for massive file reconciliation.
• 🧹 sqlean-lint — Lightweight local-first SQL static analysis and rule validation engine targeting performance traps.
• 📈 dbt-optimizer — Compilation analyzer and cost auditor toolkit for dbt core models and DAG dependencies.
• ⚡ data-engine-benchmarks — Benchmarking framework evaluating speed, memory efficiency, and throughput across local vs. distributed engines (DuckDB, Polars, Pandas).
• 🔍 github-issue-hunter — Automated search engine and dashboard designed to query, tag, and track high-priority GitHub issues across open-source ecosystems.

• 🏫 Power BI Developer & Instructor | PNY Trainings (NAVTTC) (Feb 2026 – May 2026)
  • Engineered and delivered comprehensive technical curriculum in Power BI, SQL, and Python; established best practices for ETL pipelines and advanced data modeling.
• 🍕 Junior Data Scientist | Timmy's Pizza (Nov 2023 – Dec 2025)
  • Optimized local delivery routes, staffing schedules, and supply chain visibility using Pandas and interactive Power BI dashboards.
• 💻 Data Analyst Intern | PNY Trainings (Jun 2025 – Present)
  • Spearheaded a data-driven marketing analysis for a key e-commerce client, leveraging Power BI and Advanced Excel to project a 15% increase in customer engagement.
  • Automated a reporting pipeline using Python (Pandas) and SQL, reducing manual data processing for weekly sales reports by 10 hours per month and improving efficiency by 30%.
• ⛽ Procurement Intern | Sui Northern Gas Pipelines Limited (SNGPL)
  • Analyzed vendor performance metrics for a portfolio of 50+ suppliers, creating KPI dashboards in Excel that contributed to an estimated 5% reduction in procurement costs.
  • Streamlined the digital record-keeping process for Purchase Orders, designing a new workflow that reduced document retrieval times by over 50%.

• 🎓 Bachelor of Science in Accounting and Finance — Hailey College of Commerce, University of the Punjab
• 🏆 IBM Data Analyst Professional Certificate
• 🏆 Google Advanced Data Analytics Professional Certificate
• 🏆 IBM Data Science Professional Certificate
• 🏆 IBM Data Engineering Professional Certificate
• 🏆 Google Digital Marketing & E-commerce Professional Certificate

[ Git Push / PR ] ──► [ GitHub Actions ] ──► [ Linting & PyTest Matrix ] ──► [ Deploy / Publish ]