Asaad Areeb

Data Analyst with hands-on experience in SQL, Python, Excel, and Power BI across manufacturing, sales, and marketing reporting environments. Skilled in consolidating data from ERP systems, CRM platforms, spreadsheets, and databases to build dashboards, automate reporting, and support forecasting for operational and commercial decision-making.

Data Analyst at Denim Loom (2025-01 – Present)

• Built and maintained internal dashboards for HR, procurement, warehouse, production, and sales functions, improving visibility into operational performance across the business
• Consolidated data from Excel sheets, ERP records, CRM data, and internal databases into structured reporting datasets for recurring analysis and dashboard delivery
• Developed Power BI dashboards to monitor production output, inventory movement, procurement activity, employee metrics, and sales trends across denim and garment operations
• Cleaned, validated, and reconciled multi-source data from manually maintained procurement sheets, customer records, employee databases, and operational systems to improve reporting reliability
• Automated recurring weekly and monthly reporting workflows using SQL and Power Query, reducing manual preparation effort and improving consistency in internal reporting
• Built Python-based forecasting workflows to estimate sales and demand trends, supporting planning decisions for production and inventory management

Data Scientist at Technoventures (2023-10 – 2024-05)

• Built internal marketing and sales dashboards for a USA-based education business targeting European students, tracking ad spend, leads, user acquisition, conversions, and revenue performance
• Consolidated campaign and sales data from Facebook, Instagram, WhatsApp, spreadsheets, and internal reporting sources into analysis-ready datasets for recurring business reporting
• Developed reporting views to monitor advertising spend, clicks, new users, client conversions, and sales trends, helping internal teams and client stakeholders evaluate campaign performance
• Performed exploratory analysis on campaign and sales data to identify patterns in user acquisition, conversion behavior, and revenue trends across reporting periods
• Built forecasting workflows in Python and SQL to estimate future revenue and sales trends for upcoming months and quarters, supporting planning and budgeting decisions
• Improved reporting efficiency by automating recurring data preparation and dashboard update processes for internal marketing and sales reporting

Web Developer at Minisoft (2022-09 – 2023-09)

• Built web applications using Django, HTML, CSS, and JavaScript for international clients, including API integrations and production-ready features

Mobile Application Developer Intern at Hello World Technologies (2022-04 – 2022-06)

• Supported mobile application development in React Native with work in UI implementation and API integration

Master's in Data Science – Information Technology University, Lahore (2024 – 2026)

Bachelor's in Software Engineering – KFUEIT, Rahim Yar Khan (2018 – 2022)