AHMED MUSTAFA

• Utilized pose estimation frameworks for precise key-point detection. • Used transfer learning to adapt pre-trained deep learning models for different tasks and datasets, improving accuracy and reducing training time. • applied visualization techniques such as boxplots, scatter plots, and other graphical tools to identify trends, detect anomalies, and validate data accuracy. • Build Machine Learning Predictive models such as Linear / Logistic regression, classification etc.

• Performed FFT and one-third octave band analysis on audio data to assess acoustic characteristics. • Managed and processed audio and thermal sensor data from CANape software, ensuring accurate storage in a database. • Used deep learning models to analyze acoustic parameters from audio data, enhancing tasks such as sound quality assessment in a vehicle. • Developed graphical user interfaces (GUIs) in Python, focusing on user experience and functionality.

• Conducting an in-depth analysis of the available data and devising highly effective strategies to address the specific needs and requirements of the company. • Manage and customize all ETL processes as per the requirement of data visualization. • End to end monthly reports, visuals preparation of sales, net profit, tax and liabilities etc. • Clean and process large data sets. • Stay up to date with the most current developments and advancements within the industry.

• Developed and optimized ETL pipelines to ensure efficient data extraction, transformation, and loading from various sources.. • Executed DAX queries and SQL scripts to manipulate and validate data within Microsoft Excel and Power BI. • Assisted in database management, including indexing, partitioning, and tuning for optimized query execution.

• Monitor and maintain data systems and infrastructure. • Collaborated with Data Scientists and Analysts by providing clean, structured, and high- quality datasets. • Worked with big data tools to preprocess, clean, and structure large datasets for analytics and reporting.