Muhammad Mubashir

Designed and implemented data acquisition systems for embedded hardware platforms, ensuring accurate collection of sensor data, including temperature, pressure, and motion data which led to a total revenue of €1.7M. Expertise in TensorFlow, NumPy, Pandas for deep learning applications. Achieved strong proficiency in Scikit-learn and Matplotlib for data manipulation and visualization

Experienced with machine learning libraries, frameworks such as matplotlib, math, plotly, scikit-learn, Tensorflow, PyTorch, pandas, numpy, etc. Worked with product managers to re-architect application, boosting yearly revenue by €0.8M. Consistently demonstrated a passion for innovation through utilization of cutting edge technologies like Agile development methodologies and data structure algorithms

Customization Firebase database, Cloud services, API integration. Optimized German service business application for transport organization and design and developed product based application to manage staff management of transport organization. Gained knowledge in data collection, visualization and transformation technique.