My Summer Internship at Airbus Americas
Taniya Chopra
Data and AI Specialist @ Shelter Insurance| Ex-Airbus| Master of Science in MIS, Data Analytics
During my internship at Airbus, I had the incredible opportunity to dive into the cutting-edge world of technology and analytics, specifically focusing on the Skywise platform. Airbus, a pioneer in aviation, has been investing extensively in technological advancements, and the Skywise platform stands as a testament to their commitment. Skywise, renowned for its analytics services, caters to Airbus' customers, manufacturing, and supply chain operations, with the potential to extend its benefits across various domains.
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My primary objective during the internship was to assess the feasibility of utilizing the Skywise platform for analytics, particularly in the realm of employee experience data garnered through engagement surveys and continuous listening channels. The journey was both exhilarating and enlightening, as I delved into a comprehensive range of tasks.
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I began by engaging with stakeholders,meticulously gathering their expectations and requirements for analytics outcomes. This initial phase was critical in understanding the landscape and setting the stage for the subsequent steps. I prepared and transformed datasets from the existing survey platform, seamlessly integrating them into the Skywise environment.
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Throughout the internship, I wore multiple hats – from a data engineer to a problem solver. I meticulously evaluated the advantages of Skywise while identifying potential gaps. This involved a holistic approach, encompassing data security, quality,visualization, and performance aspects. Leveraging my technical skills, harnessed the power of Python and PySpark, employing modules like Pandas,Scikit-Learn, Tensorflow, and PyTorch for data manipulation and machine
learning tasks. I embraced DevOps tools like Git for streamlined collaboration.
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As I immersed myself deeper, I undertook a fascinating journey into sentiment analysis using custom-trained models. This involved using Python libraries to categorize and visualize sentiment patterns.
Additionally, I undertook a comprehensive research project comparing platforms
like QlikSense and Qualtrics, showcasing my knack for innovation and
领英推荐
problem-solving.
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My experience wasn't confined to technical aspects alone. I learned to navigate a rapidly changing environment, honed my communication skills to convey complex insights to diverse audiences, and demonstrated an entrepreneurial mindset by adopting pragmatic approaches to digital product development.
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Special mentions to Antonio Shu (舒建峰) , Vincent Dupuis , Ann Maloney and the entire team at North America office who helped me navigate in rapidly changing environment, gave feedback on my communication skills to convey complex insights to diverse audiences, and provided a platform for me to demonstrate an entrepreneurial mindset by adopting pragmatic approaches to digital product development.
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Machine Learning Engineer
1 年This is insightful. I appreciate your mention of the technologies you made use of. Also quite interesting to note the kind of responsibilities you had the opportunity to take on as an analyst (spanning data engineering and science) Best wishes in your next step.