Mojtaba Karbalaei

• Designed and established an integrated SQL-based relational database from decentralized data sources, defined KPIs, and created Power BI dashboards to provide real-time insights, resulting in a 19% performance improvement. • Engineered regression-based financial models using Python to forecast future budgets based on historical data and market trends, improving budget accuracy by 12%.

• Developed a Python machine learning model (artificial neural network) to predict product quality, resulting in a 10% reduction in pipe defects. • Led a 12-member cost reduction team, achieving 7% annual savings through effective material control. • Established and tracked key performance indicators (KPIs) for the sales team, facilitating a 10% increase in annual sales revenue through the implementation of data-informed strategies and target setting.