Heba Elgamal

• Business Intelligence & Dashboarding: Designed 15+ interactive Power BI dashboards tracking KPIs across sales, operations, and customer
analytics, enabling real-time decision-making. Reduced reporting cycles from weekly to daily.
• Predictive Analytics: Built predictive models using Python (Pandas, NumPy, Scikit-learn) forecasting customer demand with 87% accuracy,
reducing stockout incidents by 34%.
• Database Management & ETL: Managed SQL databases with 2M+ records, optimized queries reducing data retrieval time by 60%.
Developed automated ETL pipelines consolidating data from CRM, ERP, and external APIs.
• Sales & Revenue Analytics: Analyzed sales data across 5 regional markets, identified underperforming segments, recommended strategies
increasing revenue by 18% quarter-over-quarter.
• Customer Segmentation: Performed RFM analysis and clustering to segment customer base into 6 personas, enabling personalized
campaigns improving retention by 22%.
• Operational Efficiency: Automated monthly reporting using Python and Power Query, eliminating 40+ hours of manual work monthly,
improving data accuracy by 95%.
• Stakeholder Communication: Delivered data-driven presentations to C-suite executives, translating complex findings into business
recommendations.
• A/B Testing: Designed and analyzed A/B tests for campaigns and features, providing statistical validation improving conversion rates by
15%.
Tech: Python, SQL, Power BI, Excel (VBA, Power Query), Tableau, Google

• HR Analytics Dashboard: Developed HR analytics module in Odoo ERP tracking employee performance, attendance, recruitment metrics,
and turnover. Automated reports reduced HR admin time by 50%.
• Data Migration: Extracted, transformed, and loaded 10, 000+ employee records from legacy systems ensuring 100% data integrity through
validation scripts.
• Custom Reporting: Built SQL queries and reports analyzing workforce utilization, project allocations, and labor costs across 15+
construction projects.
• Process Optimization: Mapped business processes, identified bottlenecks, implemented workflow automation reducing approval cycles
from 5 days to 24 hours.
• Data Governance: Established data quality standards and validation rules ensuring consistency across HR, accounting, and project
management modules.
Tech: Odoo (Python-based ERP), PostgreSQL, XML, Python, SQL

• Database Architecture: Designed SQL database for blockchain network infrastructure with 99.9% uptime. Optimized queries reducing
transaction processing by 45%.
• Blockchain Data Analytics: Analyzed Hyperledger Fabric and Ethereum data identifying performance bottlenecks and transaction patterns.
Developed dashboards tracking 50+ network metrics.
• Data Pipelines: Built pipelines using JavaScript and SQL to extract, analyze, and visualize network performance data, enabling proactive
failure identification.
• Technical Training: Designed and delivered Solidity programming course to 30+ university students covering data structures and
blockchain data management.
• System Optimization: Analyzed system logs to diagnose blockchain network issues, improving system reliability by 40%.
Tech: SQL (PostgreSQL), JavaScript, Hyperledger Fabric, Ethereum, Solidity, Python

• SAP Data Analytics: Extracted and analyzed SAP ERP data for 5 countries (Thailand, Vietnam, Philippines, Korea, Singapore), managing
2, 000+ monthly orders worth $15M+.
• Advanced Excel Automation (Key Achievement): Developed VBA macros and Power Query automating daily reports, reducing analysis time
from 4 hours to 1 minute (99.6% reduction). Processed 50, 000+ rows daily with zero errors.
• BI Dashboards: Created monthly executive dashboards in Excel and Power BI visualizing order fulfillment, delivery performance, regional
trends, and inventory turnover.
• Root Cause Analysis: Deep-dive analysis on order delays identified 3 critical bottlenecks, improving on-time delivery from 82% to 94%.
• Demand Forecasting: Analyzed historical order data identifying seasonal trends, supporting inventory planning and reducing excess stock
by 15%.
• Data Quality: Implemented validation protocols ensuring 99% accuracy in order management, preventing shipping and billing errors. Power Query, Pivot), Power BI, SQL

• Inventory Forecasting: Designed predictive model projecting inventory across manufacturing and distribution network, improving visibility
by 85%.
• MRP Analysis: Analyzed MRP system data identifying deficiencies causing stock-outs. Developed corrective algorithms enabling proactive
management.
• IoT Analytics: Proposed IoT solution for real-time inventory tracking, demonstrating 40% lead time variability reduction through
simulation.

• Container Optimization: Analyzed container utilization and part dimensions designing optimal loading configurations, increasing space
utilization from 60% to 100%, projected EGP 7M+ annual logistics cost reduction.
• Inventory Cost Analysis: Comprehensive analysis of small-parts inventory using SAP exports and Excel modeling. Identified storage
allocation and shipping inefficiencies.
• Financial Modeling: Built Excel models analyzing storage costs, scrapping rates, and logistics expenses. Recommendations led to 25%
reduction in inventory holding costs.
• SAP Data Extraction: Extracted inventory data performing statistical analysis on 10, 000+ SKUs identifying slow-moving items and
optimization opportunities. ERP, Excel (Financial Modeling, Data Analysis), Statistical Analysis

• Application Development: Built Refugees application using C# (.NET) with SQL Server backend managing 1, 000+ user records.