I am an Entry-Level Data Analyst with experience supporting financial reporting, data validation, ETL workflows, and analytics dashboards across corporate, academic, and IT environments. My work focuses on improving data accuracy, reducing manual effort, and enabling reliable decision-making through SQL, Python, and BI tools.

• 🎓 MS in Computer Science, Emory University (GPA: 4.00)
• 🎓 BS in Computer Science (Minor: Mathematics), Habib University (GPA: 3.85)
• 📊 Former Data Analyst Intern @ ABM Industries
• 📍 Atlanta, GA (Open to relocation)
• 📫 munawwaradam@gmail.com

Actively seeking:

• Entry-Level Data Analyst
• Junior Data Analyst
• Business Intelligence / Reporting Analyst

✔ SQL & Python–based data analysis and reconciliation
✔ Validation of large-scale financial and operational datasets
✔ Power BI dashboards connected to SQL databases
✔ ETL / ELT pipeline development
✔ Translating raw data into structured, decision-ready outputs

Atlanta, GA | June 2025 – August 2025

• Migrated 2 FP&A Oracle Fusion queries to Azure SQL, cutting runtime from 60 to 30 minutes and saving 3 hours per close cycle through PL/SQL-to-T-SQL conversion and indexing optimization
• Validated 200K financial records, reducing mismatches from 12K to 1.5K using Python validation scripts and SQL-based reconciliation logic
• Transformed 30 SOP documents into 735 structured Q&A pairs, reducing policy lookup time from 30 minutes to under 5 minutes and saving 20 hours monthly through automated parsing and Azure OpenAI prompt engineering

Karachi, Pakistan | July 2022 – July 2024

• Constructed 34 Python and SQL lab assignments, reducing grading time from 15 to 10 minutes per submission and cutting TA workload from 8 to 4 hours weekly for 100+ students
• Facilitated weekly 3-hour Python & SQL labs for 30+ students, reducing completion time from 120 to 90 minutes and enabling 80%+ in-session completion
• Mentored 10 deep learning research projects, contributing to 2 IEEE conference acceptances through structured code reviews and methodology guidance

Karachi, Pakistan | July 2021 – August 2021

• Automated analysis of 100K+ daily security logs, reducing alert review time from 5 hours to 1 hour using Python-based log parsing
• Implemented Python ETL pipelines loading validated data into SQL Server, reducing investigation time from 80 to 30 minutes
• Built Power BI dashboards that reduced security reporting time from 2 hours to 10 minutes, enabling faster IT policy decisions

Dec 2025 – Jan 2026

• Automated weather data ingestion every 10 minutes across 5 cities, replacing 1.5 hours of daily manual work using Python, SQLite, APIs, and GitHub Actions

Aug 2025 – Dec 2025

• Engineered PostgreSQL analytics platform processing 20M+ taxi records, reducing fare and demand analysis time from 7 hours to 15 minutes using Parquet ETL, Flask API, and React dashboards

Jan 2025 – Apr 2025

• Built wage analysis platform processing 344K records, reducing analysis time from 1.5 hours to 15 minutes and enabling demographic comparisons using Python and D3.js

Languages: SQL, Python, R
Data Analysis & Visualization: Power BI, Tableau, Looker, Plotly, D3.js, Excel (Advanced)
Data Engineering: ETL / ELT Pipelines, Data Modeling, Data Warehousing, API Integration
Databases: SQL Server, MySQL, PostgreSQL, SQLite, Snowflake, BigQuery
Statistics & Analytics: Regression Analysis, Forecasting, Hypothesis Testing, A/B Testing, KPI Development
Tools: Git, GitHub Actions, Jupyter Notebook, Azure OpenAI

• Validated 200K+ records supporting executive financial reporting
• Reduced SQL query runtimes by 50%
• Automated reporting workflows with Power BI
• Designed 34 Python & SQL labs used by 100+ students

📩 Let’s connect

• LinkedIn: https://www.linkedin.com/in/manwar99/
• Email: munawwaradam@gmail.com