Shehroz Ali

• Developed high-precision algorithms for semiconductor wafer alignment, improving alignment accuracy by 20-30%. • Utilized EVG40 NT2 automated metrology system to capture high-resolution images, enhancing image quality by 20%. • Applied noise reduction and image registration techniques, reducing preprocessing time by 40%. • Implemented feature detection and machine learning models for key localization, increasing detection accuracy by 30%.

• Team Leadership: Managing a team to tackle crop health, yield prediction, and pest/disease control. • Real-Time Insights: Designing systems for real-time crop health assessments using satellite imagery and weather data. • Yield Prediction: Implementing sequential algorithms for accurate yield predictions. • Pest and Disease Control: Developing IoT-based solutions for automatic pest and disease identification.

• Built and optimized supply chain models using Supply Chain Guru and MS SQL Server, Successfully reducing costs by 30%. • Utilized Python, and R for data preprocessing, cleansing, manipulation, and analysis, increasing data accuracy by 25%. • Developed web application for the internal tool “Crossroads” using Django, HTML, CSS, and JavaScript, improving user engagement by 30%. • Visualized data using Tableau, providing stakeholders with meaningful insights that led to a 10% increase in DM

• Researched optimization algorithms for federated learning, enhancing efficiency by 20%. • Developed a Python parallel library for message-passing, reducing latency by 25%. • Implemented the Decentralized Expectation-Maximization Algorithm, improving model accuracy by 15%. • Tested and fine-tuned algorithms for stability and compatibility, increasing reliability by 30%. • Collaborated on model architecture and hyperparameter tuning, improving accuracy and generalization by 20%.

• Achieved 100% SLA adherence, significantly boosting customer satisfaction. • Delivered high-quality support to premium MaxAttention customers, enhancing service delivery for SAP BI, SAP Analytics Cloud, OLAP, Semantic Layer, and Web Intelligence. • Improved collaboration efficiency by 15% through effective teamwork with Hungarian, Tunisian, and UK BI Teams. • Resolved 90% of technical issues on first contact, reducing overall resolution time.

• Achieved a 95% customer satisfaction rate through exceptional support and assistance. • Resolved 90% of booking issues on first contact, improving customer experience. • Increased operational efficiency by 20% through effective multitasking. • Earned commendations for professionalism and communication from customers and colleagues.

• Received fully funded Veneto Regional Scholarship • Thesis topic: Plant Disease and Pest Detection using Deep Learning

• Received Merit-based Stipendium Hungaricum Scholarship in 2016 by Tempus Public Foundation • Thesis topic: ' Lane line detection using Computer Vision' • Thesis and state exam result: 5/5