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IT & Operations Transformation Internship

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Deadline: 22/09/2026

Skills for this role

Skills we detected for this role.

  • Python
  • SQL
  • Machine Learning
  • Power BI
  • Tableau
  • Excel

Opportunity brief

About the Company

Rajmudra Group of Companies, headquartered in Pune, Maharashtra, is a diversified business group with operations across transportation, logistics, warehousing, tyre recycling, sustainable energy, and resource recovery. The Group has grown from its transportation roots into a multi-business organisation serving corporates, manufacturing companies, logistics networks, and government organisations. The Group is driven by operational excellence, reliability, innovation, and sustainable value creation.

Vision: To be a trusted and innovative leader across our businesses, delivering excellence and creating sustainable value for our clients, partners and the environment.

Mission: To deliver reliable, high-quality solutions, foster integrity and innovation, and create sustainable value through responsible business practices.

Responsibilities

  • Map current fleet, logistics or warehousing workflows and identify where time is lost to manual work.
  • Automate recurring MIS/report currently compiled by hand (e.g. fleet utilisation, route compliance).
  • Build a dashboard giving management real-time visibility into a key operational metric.
  • Identify paper-based process (e.g. driver logs, warehouse inward/outward records) and pilot a digital replacement.
  • Propose and implement one integration that reduces duplicate data entry between systems.
  • Track and report the measurable impact of each change (hours saved, error rate, turnaround time).

Requirements

We are looking for problem solvers, not task executors. Candidates should be able to identify inefficiencies, analyze root causes, design practical solutions, implement them, and measure their impact in terms of time saved, cost reduced, or quality/accuracy improved. The ideal candidate will have an M.Tech / M.E. in Computer Science, IT, AI/ML, Data Science, or a related field. Preferred skills include Advanced Excel, SQL, Power BI/Tableau, Python, process mapping, and familiarity with GPS/fleet-tech.

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