Babaprahlad Pai

Data Analysis and Precondition Assessment: Expertise in analyzing preconditions in aircraft, demonstrating a strong analytical mindset.
Familiarity with assessing changes based on reference aircraft, showcasing a keen eye for pattern recognition and anomaly detection.
Engineering Analysis and Research: Experience in conducting detailed engineering analysis, providing a structured approach to problem-solving.
Utilization of Excel for analysis and creating research sheets, showcasing proficiency in data manipulation and organization.
Documentation and Reporting: Strong documentation skills, critical for data scientists in communicating findings effectively.
Ability to create wiring drawings and bill of materials, emphasizing attention to detail and structured documentation practices.
Ordering and Supply Chain: Involvement in creating bills of materials to order new parts for installations, showcasing an understanding of supply chain dynamics and inventory management.
Aircraft Domain Knowledge: In-depth knowledge of A350 and A380 aircraft systems, which can be leveraged for domain-specific data science applications.
Transition to AI and ML: Showcase your interest and inclination towards AI and ML, possibly through personal projects or additional coursework in these areas.
Problem-solving and Critical Thinking: Emphasize your problem-solving skills, a crucial aspect of data science, demonstrated through your role in analyzing and addressing challenges in aircraft wiring and upgrades.
Cross-functional Collaboration: Highlight collaboration with other teams, such as those working on 3D routing and other upgrades, showcasing an ability to work in interdisciplinary environments.
Structured Approach to Data: Mention your experience in dealing with structured data in the context of wiring drawings and electrical harnesses, showcasing your understanding of data formats and organization.
Continuous Learning and Adaptability: Emphasize any continuous learning initiatives, self-improvement, or adaptability to new tools and technologies, signaling your readiness for a transition into data science.