Syed Maaz Bin Razi

•Evaluated and enhanced machine learning models in Azure Spark, enhancing analytics for Lufthansa. • Designed and developed Power BI dashboards and flight hour visualizations for Lufthansa Technik’s data-driven decision-making. • Utilized PostgreSQL as the database management system to store and retrieve app data, ensuring robustness and scalability.

• Employed advanced analytical techniques to enhance data quality and optimize algorithmic performance. • Compiled comparative analysis between various conditional GANs and variational autoencoders (VAEs) to enhance results. • Proficiently utilized Python, Tensorflow, Git, Gitlab, and implemented GAN, VAE, and CVAE techniques to accomplish tasks.

-Responsible for data extraction, cleaning and visualization. -Developed algorithm, trained, and validate the neural network. -Predict the humidity of sensor and compared the accuracy on different models. -Technologies used: Python, Tensorflow, Pandas, NumPy, Seaborn, Linear regression, Logistic regression, KNN, Artificial Neural Network, Linux. Skills: Machine Learning · Python (Programming Language) · TensorFlow · Deep Learning · Data Analysis

• Extracted valuable insights from customer needs and transformed them into actionable reports using Power BI, resulting in a 15% increase in customer satisfaction. • Collaborated closely with the product manager to identify a strategic opportunity, leading to a 10% reduction in Volvo truck prices and a subsequent increase in sales.

• Additive Manufacturing • Digital Manufacturing • Composite Hybrid Technology • Complex Material Manufacturing

• Manufacturing Technology • Theory of Machines • Fluid Mechanics • Mechanical Engineering Design • Stress Analysis • CAD/CAM • System Dynamics and Control • Internal Combustion Engines • Mechanics