Ayush Garla

As a Master's student in Sustainable Technology Management, specializing in Mobility and the Automotive Industry, I bring a diverse background in Electronics and Communication Engineering. With over a year of hands-on experience as an Automation Developer, I have excelled in both backend and frontend development, focusing on data science, databases, and dashboard tasks utilizing Python, SQL, and Power BI.

My passion lies in autonomous driving technology and data science, reflected in my completed projects spanning machine learning and deep learning algorithms. Proficient in EDA, Data Analysis, and Machine Learning, I have sharpened my skills in Python and SQL, eager to apply my knowledge in a dynamic and challenging environment.

I am driven by a relentless pursuit of innovation and seek to contribute to advancements in data-driven technologies or autonomous driving solutions.

Automation Developer (Data Engineering)

Huawei Technologies India Private

Responsibilities

• Quality Assurance: Developed automation tools to extract, analyze, and preprocess big data using Python, and SQL ensuring an efficiency of approximately 80%. Conducted proper data validation to result in good data quality.
• Requirements Analysis: Gained extensive experience by communicating clearly with business and finance teams to understand the requirements based on customers' voices. Developed automation tools to interpret and analyze data that helped reduce their manual workload by 30%.

Achievements:

• Performance Optimization: Created efficient Python and SQL codes and increased the data processing pipeline automation level by 15% to enhance speed and efficiency.
• Earned 2 bonuses within 1 year for holding a good team spirit, willingness to handle projects independently, showing a high sense of perception, and technical documentation of all the improvements and tasks done.

Masters of Engineering - Sustainable Technology Management, Focus on Mobility & Automotive Industry

[GPA - 1.9] || Relevant coursework: Advanced Driver Assistance System/ Autonomous Driving, machine learning, deep learning, project management.