Good - Avaliação de funcionários no cargo de Funcionário(a) sigiloso(a) na empresa Inker Robotics

4,0
12 de dez. de 2025
Estagiário(a) sigiloso(a)
Recomenda
Visão de mercado da empresa

Prós

Work culture is nice. Good environment

Contras

lot of freshers, kinda underpaid

Confira outras avaliações da empresa Inker Robotics

5,0
18 de fev. de 2026
Recomenda
Visão de mercado da empresa

Prós

Amazing work environment, nurturing, prioritizing learning, executing, and delivering. Tackling challenging modern tech problems head on. Special focus on giving back to society.

Contras

Very occasional investment related struggles, as every startup faces in the current economy.

4,0
23 de ago. de 2025
Recomenda
Visão de mercado da empresa

Prós

Practical Application of Research – You didn’t just study theory, but executed a full research cycle: tool prep, pilot survey, data collection, gamification, and analysis. Skill Development – Gained hands-on skills in survey design, data cleaning, Power BI visualization, and process automation—all highly relevant for your data science career. Innovation & Creativity – The gamified “Shawai Hunt” campaign showed how you and your team used creative problem-solving to boost engagement (2,554 responses in 5 days). Collaboration & Communication – Worked as part of a 6-member research team, plus interacted with mentors, teachers, industrialists, and community managers. Real-World Exposure – Conducted surveys and observations in real settings (Thrissur Pooram Exhibition, Selex Mall), which gave you field experience in data collection. Mentorship & Guidance – Direct mentorship from Inker Robotics staff and your college faculty improved research quality and gave professional exposure.

Contras

Initial Low Engagement – Early surveys had low response rates, requiring extra effort (gamification, reminders, etc.) to reach targets. Time Constraints – Limited internship duration (Apr–May) meant you had to rush phases, especially data analysis and financial insights. Limited Scope Beyond Research – The focus was mainly on market research; less direct exposure to robotics/AI development, which is Inker’s core field. Learning Curve – Required quick learning of tools (Power BI, Python, VS Code, Whisper AI) under pressure, which might have limited depth in each. Team Dependencies – Success relied heavily on teamwork; uneven contributions or coordination challenges may have slowed progress at time

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