Abhishek Pandey

Civil Engineer | Project Management | Python | ML

| LinkedIn

About

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.

Work Experience

Civil Engineer

Anita Construction

Jul 2024 - Present

Sultanpur, Uttar Pradesh, India

Currently overseeing multiple ongoing projects while leading 4 - 5 teams, with full responsibility for planning, execution, and client coordination.

  • 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.

Summer Internship

Krishna Buildspace Private Ltd

Jul 2023 - Aug 2023

Lucknow, Uttar Pradesh, India

Managed on-site construction tasks and assisted in optimizing resource allocation and project planning to improve site efficiency.

Education

Civil Engineering

Rajkiya Engineering College, Ambedkarnagar

Dec 2020 - Jul 2024

Ambedkarnagar, Uttar Pradesh, India

Certificates

Python for Data Science and Machine Learning Essential Training Part 1

LinkedIn

Sep 2025

AI For Everyone

DeepLearning.AI

Aug 2025

Career Essentials In Business Analysis

Microsoft

Aug 2025

Google AI Essentials

Coursera

Aug 2025

Data Engineering on AWS-Foundation

Amazon Web Services

Jul 2025

Projects

Sales Insight & Customer Segmentation

GitHub

- 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.

GreenThumb – Plant Care Platform

GitHub

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.

Comparative Analysis of Various Machine Learning Models to Predict Compressive Strength for High Volume Fly Ash Based Concrete

Sep 2023 - Jun 2024

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.

Languages

English (Proficient) , Hindi (Native)

Skills

Professional Skills

  • Problem Solving
  • Team Leadership
  • Communication

Business Analysis & Project Management

  • Project Planning
  • Requirement Gathering
  • Stakeholder Management
  • Daily Reporting
  • Data Analysis

Civil Engineering Expertise

  • Site Management
  • Structural Design
  • AutoCAD
  • Quantity Surveying
  • Cost Estimation

Programming & Tools

  • Python
  • SQL
  • Excel
  • C
  • Java
  • HTML
  • Machine Learning
  • Power BI
  • Pandas
  • Git
  • Flask