Chandu L Y

Bangalore

I'm a Python and Data Analytics professional who thrives on self-directed learning and pushing the boundaries of my craft — whether that's diving deep into a complex dataset or independently picking up a new technical skill. My naturally curious and analytical mindset drives me to not just solve problems, but truly understand them, blending logical thinking with just enough flexibility to adapt when the data tells a different story. With a year of hands-on experience at Dyashin Technosoft, I'm on a focused path toward mastery in data-driven technologies, one insight at a time.

Experience

Senior Engineer- Software Design and Development

Safran · Jan 2026 – Present

Not yet confirmed

• Developed Defence product ATEs, with user friendly and flowless GUI development in LabView,
• RF based ATE development with LabView & Test-Stand.
• Customer Interactions at defence sites/IAFs/PSUs.
• ATE configuration and software architecture.
• Experience in PXI based National Instruments hardware and RF test instruments like Network Analyser, Spectrum Analysers, Oscilloscopes, Power Meters.
• Experience in software Development for RF switch matrix.

Associate R&D Engineer

Safran · Jan 2023 – Present

Not yet confirmed

Associate Engineer

Safran · Jan 2023 – Present

Not yet confirmed

• Developed Defence product ATEs, with user friendly and flowless GUI development in LabView,
• RF based ATE development with LabView & Test-Stand.
• Customer Interactions at defence sites/IAFs/PSUs.
• ATE configuration and software architecture.
• Experience in PXI based National Instruments hardware and RF test instruments like Network Analyser, Spectrum Analysers, Oscilloscopes, Power Meters.
• Experience in software Development for RF switch matrix.

D

Python And Data Analytics Intern

Dyashin Technosoft Pvt.ltd · Jun 2023 – Sep 2023

Not yet confirmed

• Analyzed and visualized data using Python and Excel to generate insights supporting decision-making.
• Collected and analyzed social media and email data using Python, created dashboards, and supported strategies to improve engagement and lead generation.
• Gained hands-on experience in Python data pipelines, data analysis, visualization, and user segmentation, applying computer applications skills for data-driven insights and automation.