I am a Civil Engineer with skills in Python, SQL, Machine Learning, and Project Management. I am interested in moving into the tech field, where I can apply my analytical, technical, and management skills to create smart and efficient solutions.
Problem Solving, Team Leadership, Communication.
Project Planning, Requirement Gathering, Stakeholder Management, Daily Reporting, Data Analysis.
Site Management, Structural Design, AutoCAD, Quantity Surveying, Cost Estimation.
Python, SQL, Excel, C, Java, HTML, Machine Learning, Power BI, Pandas, Git, Flask.
Civil Engineer
Sultanpur, Uttar Pradesh, India
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Summary
Currently overseeing multiple ongoing projects while leading 4 - 5 teams, with full responsibility for planning, execution, and client coordination.
Highlights
Directing procurement strategies, vendor negotiations, and supply chain coordination to optimize costs, ensure timely material delivery, and minimize project delays.
Supervising 15+ laborers and subcontractors, conducting drawing validation, structural compliance checks, and quality assurance inspections across RCC, masonry, plastering, flooring, and finishing works.
Preparing and maintaining technical documentation, progress dashboards, and project status reports to support stakeholder communication, performance tracking, and data-driven decision-making
Successfully executed the Zila Panchayat Office (Government Project) from site development to commissioning, achieving 10–15% reduction in material wastage through value engineering and lean construction practices.
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Bachelor of Technology
Civil Engineering
GitHub
Summary
- Conducted comprehensive analysis of sales data to identify key trends in top-performing products and regional sales performance. - Applied K-Means clustering to segment customers based on purchasing behaviour into three distinct groups for targeted marketing strategies. - Delivered actionable data-driven business recommendations to optimize sales focus and maximize ROI.
GitHub
Summary
Developed a full-stack plant care management platform implementing secure user authentication system with encrypted password storage and email notification services using Gmail SMTP integration. - Developed responsive frontend interface with automated watering reminder system and deployed production-ready application on Render cloud platform with database integration.
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Summary
1 - Applied machine learning (Regression, Random Forest, XGBoost) to predict compressive strength of high-volume fly ash concrete, advancing sustainable construction practices. 2 - Integrated civil engineering concepts with ML tools (Python, Pandas) to build predictive models for concrete strength analysis. 3 - Conducted comparative analysis of ML models to enhance accuracy in strength prediction, reducing experimental costs and supporting intelligent infrastructure design.
Proficient
Native