Experienced in planning work, coordinating people, and keeping daily operations organized. Able to align different groups smoothly and turn manual tasks into structured systems. Strong in communication and follow-up, making sure goals are met and progress stays steady. Looking to grow further by taking on bigger responsibilities and learning advanced practices while building trust with teams.
Stakeholder collaboration: Worked closely with senior operational manager, facility manager and school management on requirements, escalations and rollouts — aligned with transport, site and academic priorities.
Project / program lens: Single point of coordination across schools, parents, drivers, security and HQ — prioritizing issues, tracking requirements and keeping daily transport operations running while rolling out digital change.
Owned the full lifecycle of personal and client-style builds: scoping features, sequencing work, deploying to cloud, monitoring reliability and iterating after feedback — the same ownership pattern as a small technical PM or founder-led product team, with hands-on engineering.
Program delivery — platform & infra
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Execution — engineering & integration
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Complex domain — planning & risk-aware delivery
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People-adjacent technical support
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Context (markets & instruments)
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Combined core image-associator execution with graphics and design work and day-to-day operations-style workflow coordination (queues, handoffs, quality) on the floor.
Foundation in AI/ML and data science (Python, pandas, numpy, scikit-learn, neural nets). Applied immediately to measurable initiatives: structured experiments, performance tracking and iterative improvement — the same loop as data-informed product delivery.
Analytical habits carry over to ops and IT work: baselines, dashboards and evidence when proposing process or tooling changes.
In college I did video editing, music production and dance choreography on the side and got interested in financial markets. I built automated car control systems with Python and sensors and worked on sensor-based control for cars with real-time processing. I kept up with both engineering and creative work. I also started getting into computers, operating systems and IT around then and picked up Python properly through those automation and sensor projects.
Completed two professional courses at Arena Animation (Erode) while in college: Autodesk Maya (3D modelling and animation fundamentals) and Adobe Photoshop (imaging, compositing and design workflows). Reinforced creative and visual skills used later in media, graphics and communications work.
Project / delivery practices (hands-on + learning)
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Cloud & infrastructure (technical literacy)
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Programming & automation
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Data, OS & support
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| Initiative | Scope / technology | Outcomes & PM relevance |
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| Quantitative systems & monitoring | Python, Node.js, broker APIs |
• End-to-end ownership: bots, dashboards, integrations • Data-driven milestones: backtests, risk views, iteration loops • Practice in requirements, dependencies and reliability (production mindset) |
| Web apps & cloud deployment | Node.js, AWS (EC2/S3), web stack |
• Shipped hosted services: DNS, SSL, server config • API and real-time features — cross-functional “spec to release” pattern • Transferable to product/feature delivery in IT organizations |
| Automation & workplace integration | Python, Microsoft Graph, REST APIs |
• Reduced manual reporting; repeatable jobs and notifications • Same playbook as internal tools PM: identify pain → automate → train users • Aligns with transport-ops modernization (Sheets, portals, sync) |
Project & people leadership
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Technical credibility
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Languages
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India Driving licence
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Availability & mobility
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Country experience & exposure
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