Nikhil Kumar

Computer Science & Engineering graduate with hands-on experience in industrial automation, manufacturing systems, production reporting, and process optimization. Experienced in developing digital solutions for production monitoring, material management, and real-time machine data visualization using Python, JavaScript, SQL, VBA, Node.js, and Firebase. Skilled in PLC-integrated monitoring systems, production analytics, OEE reporting, and Excel automation to improve operational efficiency.

Passionate about applying software and automation technologies to smart manufacturing and Industry 4.0 environments.

Junior Engineer – MD Office (MDO) - Metalman Auto Pvt. Ltd. - New Delhi (Corporate Office)

(2026-08)

• Cross-Plant Operations Analytics: Managing operational data pipelines and MIS reporting architecture across 12 manufacturing plants to streamline multi-location corporate visibility.
• Large-Scale Data Management: Administering the Contract Labour Management System (CLMS) database, overseeing real-time tracking, compliance, and attendance records for 7,500+ blue-collar personnel.
• Process Intelligence & AI Tools: Leveraging advanced AI tools and cloud frameworks to automate manual plant reports, optimizing turnaround time for executive decision-making.
• System Administration: Handling account setups, access roles, tracking devices, and system data verification for multiple plant-level internal enterprise software platforms.
• Cross-Functional Support: Collaborating directly with the Management Discussion Office (MDO) to audit workforce records, production output tracking, and build cross-departmental operations dashboards.

Graduate Engineer Trainee (GET) - Toyo Spring Pvt. Ltd. - Sonipat, Haryana

(2026-01 - 2026-06)

• Developed a Material Management System for inventory tracking, authentication, reporting, and CSV export using Python, JavaScript, HTML, CSS, and Firebase.
• Built a real-time furnace temperature monitoring system integrated with PLC data using Node.js, Express.js, PostgreSQL, and REST APIs for production monitoring.
• Automated production reporting using VBA, reducing manual reporting time by approximately 60% and improving data accuracy.
• Developed dashboards for production monitoring and manufacturing analytics to support operational decision-making.
• Collaborated with production, maintenance, and quality teams to support digital transformation initiatives and process improvement.
• Deployed internal applications using Render and Netlify for secure accessibility across departments.

Data Analyst Intern - Reliance Industries Limited - Sonipat, Haryana

(2025-01 - 2025-06)

• Analyzed operational and sales data using SQL and Microsoft Excel.
• Created automated dashboards using Pivot Tables and VLOOKUP to improve reporting accuracy.
• Generated business insights by analyzing large datasets and supporting data-driven decision-making.
• Automated reporting activities to improve efficiency and reduce manual effort.

Bachelor of Technology - Computer Science & Engineering - Hindu College of Engineering, Sonipat, Haryana (2022 - 2026)