Dr. Mojtaba Eshraghi

Steering the creation of the Global Network Engineering Playbook by leveraging in-house assets, ecosystem partners, and external capabilities to address gaps in network engineering. This initiative aims to enrich network engineering offerings and enhance readiness for sales campaigns within the Comms industry. Leading strategic planning, collaboration across teams to align internal and ecosystem partners capabilities with business goals, ensuring scalable, and efficient global operations.

Led a diverse team of over 40 professionals across 10+ locations, successfully directing more than 10 projects that boosted revenue and reduced machinery costs by over $1 million. Expertly managed a $5 million budget with over 98% accuracy, optimized resource utilization, and fostered a continuous improvement mindset, resulting in a 25% reduction in project completion timelines. Provided strategic mentorship to senior developers and junior managers, enhancing their career development and technical skills.

Led a high-performing team of over 20 data analysts, engineers, and developers, executing 10+ projects with nearly 100% budget forecasting accuracy. Spearheaded innovation by integrating crowdsourcing methodologies, improving decision-making and campaign efficiency by 50%. By cultivating a culture of collaboration and open innovation, he successfully aligned crowdsourced projects with strategic business goals and established key partnerships with academic and industry leaders to expand business initiatives.

Spearheaded the analysis of vast datasets from over 50 million global users, extracting key insights to inform data strategies and drive impactful business solutions. He fuelled innovation and advanced research by applying crowdsourcing methodologies across three projects and 20+ clients, and orchestrated the management and analysis of complex datasets, enhancing decision-making in crowdsourcing campaigns.

- Performing large-scale simulations on a cluster with 2 days+ runtime by using 20-256 parallel cores. - Performing multivariate statistical data analysis via Fortran, Python and, C++. - Applying machine learning (ML) algorithms such as clustering schemes to identify the structures in current projects. - Leading and managing three ongoing research projects in soft condensed matter physics. - Supervising undergraduate students working on computational physics projects (four projects in each semester).

- Implemented molecular dynamics and Monte Carlo simulations via Fortran codes. - Prepared class materials and graded assignments for two different courses by Latex.

As a PhD student, I am leading several projects in the soft condensed matter physics. The description of my role is making numerical models, performing simulation and analysis of the outcomes with analyzing tools like Python, FORTRAN, etc. to solve physics problems.

Soft Condensed Matter