Vikas Nandan
Construction Data Analyst | Leveraging AI to Optimize Project Schedules & Efficiency
- Role
- Construction Data Analyst at Modelyze Labs Ai
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Vikas Nandan
I am a Construction Data Analyst at Modelyze Labs, where I bridge the gap between complex field operations and data-driven decision-making. By leveraging AI and advanced analytics, I help project teams navigate the complexities of large-scale builds, including Data Centers and Healthcare infrastructure.With an MBA in Construction Management from RICS School of Built Environment, Amity University, and a BEng in Mechanical Engineering from Annamalai University, I have 9 years of experience in MEP Engineering, Contracting, Project Management, and Consultancy Services. I have successfully managed MEP engineering for a diverse portfolio of residential and commercial projects, delivering superior results in each instance. I am proficient in AutoCAD, Project Planning, and Microsoft Office, and passionate about creating sustainable and innovative solutions for the built environment.
Experience
Construction Data Analyst
Jan 2026 — Present · Delhi, IN
As a Construction Data Analyst, I play a critical role in bridging the gap between site progress and project intelligence. I focus on translating complex construction schedules and field data into high-level insights that drive predictability and efficiency for large-scale builds.Key Responsibilities:Data Analysis & Visualization: Design and maintain sophisticated Power BI dashboards to track project health, schedule variances, and productivity metrics for complex sectors including Data Centers and Healthcare.Project Intelligence: Analyze schedule mapping and progress data to identify potential bottlenecks in HVAC, electrical, and structural workflows before they impact the critical path.Cross-Functional Collaboration: Partner with Project Managers and Superintendents to ensure data accuracy and provide real-time visibility into site operations.Process Automation: Utilize data modeling techniques to streamline reporting processes, reducing manual data entry and increasing the frequency of actionable insights.Technical Domain Expertise: Apply deep knowledge of construction terminology and MEP systems to ensure data models accurately reflect physical site conditions.
Education
RICS School of Built Environment, Amity University
Master of Business Administration - MBA, Construction Management
2015 — 2017
Annamalai University
Bachelor of Engineering (BEng), Mechanical Engineering
2011 — 2015
Skills
- Programming
- Project Management
- Construction Management
- Autocad
- Project Planning
- Microsoft Office
- Microsoft Powerpoint
- Commissioning
- Engineering
- Mechanical Engineering
- Construction Project Management
- Cad
- Project Engineering
- Manufacturing
- Microsoft Excel
- Product Development
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