Company Overview
Omran Atlas Iranian Co. is a civil engineering firm based in Tehran, specializing in large-scale projects such as residential complexes and road construction. The company is known for its focus on infrastructure development and efficient project execution within the construction sector.
Role: Data Analyst
I joined Omran Atlas Iranian Co. as a data analyst, supporting civil engineering projects by leveraging data-driven insights. My work focused on developing predictive models, optimizing project resources, and implementing solutions to improve the overall efficiency and safety of engineering operations.
Career Progression
- Junior Data Analyst (2011-2012): Assisted with data collection and basic report generation for ongoing projects.
- Data Analyst (2012-2014): Developed and maintained project databases, began building predictive models for project planning.
- Senior Data Analyst (2014-2016): Led data-driven initiatives, introduced real-time dashboards, and conducted risk assessments to support project management decisions.
Key Responsibilities
- Developed predictive models using Python and SQL to enhance project timeline accuracy and budget forecasting
- Conducted risk assessments and optimized resource allocation to minimize on-site incidents and reduce costs
- Implemented real-time dashboards for project monitoring using Python
- Collaborated with engineering teams to translate project requirements into actionable data insights
- Prepared analytical reports for management and project stakeholders
- Maintained and updated project databases to ensure data integrity
- Supported the adoption of data-driven decision-making across the organization
Technical Skills Developed
- Python for data analysis and dashboard development
- SQL for database management and querying
- Data visualization with libraries such as Matplotlib and Seaborn
- Statistical modeling and predictive analytics
- Risk assessment methodologies
- Project management support tools
- Microsoft Excel for advanced data manipulation
Key Projects
- Predictive Modeling for Project Timelines: Developed models that improved the accuracy of project completion estimates, helping to reduce delays by 20%.
- Resource Optimization Initiative: Conducted analyses that led to a 10% reduction in costs and fewer on-site incidents through better resource allocation.
- Real-Time Dashboard Implementation: Built interactive dashboards in Python to provide live project status updates, enhancing decision-making for project managers.
Key Achievements
- Introduced predictive analytics to project planning, resulting in more reliable timelines and budgets.
- Reduced project delays by 20% through data-driven scheduling improvements.
- Cut project costs by 10% by optimizing resource allocation and reducing incidents.
- Developed real-time dashboards that improved project transparency and responsiveness.
Professional Skills Developed
- Proficiency in Python and SQL for data analysis
- Ability to design and implement predictive models for real-world engineering projects
- Experience with data visualization and dashboard creation
- Understanding of project management and risk assessment in civil engineering
- Effective communication of technical findings to non-technical stakeholders
- Collaboration with multidisciplinary teams
- Time management and multitasking across several ongoing projects
Impact and Growth
My tenure at Omran Atlas Iranian Co. provided me with a solid foundation in data analytics within the civil engineering sector. By integrating predictive modeling and real-time data solutions into project management, I helped drive significant improvements in efficiency, safety, and cost control. This role was instrumental in developing my technical and analytical abilities, as well as my capacity to contribute meaningfully to large-scale engineering projects.