Aakash Zaware
Master Thesis @Infineon Technologies
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WORK HISTORY
Master Thesis @Infineon Technologies
Dresden, DE
Conducting research under the Project Management Department at TU Berlin in collaboration with the Infineon Project Management Department, developing a Complexity Unit (CU)-based estimation framework to quantify design, verification and integration complexity for Digital IP projects • Introducing a data-driven cost & effort prediction model to reduce expert dependency and improve estimation accuracy during early planning phases.• Validating the framework through historical project data and multi-case benchmarking to ensure estimation reliability, scalability, and reproducibility.• Intended to enable faster quotation cycles, improved resource allocation and higher transparency in budgeting and program planning for IP portfolios.
EDUCATION
Technische Universität Berlin
Master of Science - MS, Global Production Engineering (GPE)
K. J. Somaiya Polytechnic, Mumbai
Diploma of Education, Mechanical Engineering
N.R.C School, Kalyan
School
Don Bosco Institute of Technology (D.B.I.T)
Bachelor of Engineering - BE, Mechanical Engineering
ABOUT AAKASH ZAWARE
I’m a Project and Operations Management professional with a strong foundation in engineering, quality, and process optimization, driven by curiosity and a constant pursuit of improvement. My journey spans across data centers and semiconductor environments — where technology, precision, and teamwork shape every result.Over the years, I’ve contributed to large-scale technical projects, reliability improvements, and process optimization initiatives that enhanced efficiency and collaboration. Working in high-performance settings like Amazon Web Services (AWS) and Infineon Technologies Dresden (Project Management Department) has helped me develop a balanced perspective — combining technical depth with strategic execution to turn complex challenges into measurable outcomes.Certified in PMP®, PSM I®, CAPM®, Lean Six Sigma Green Belt, and ISO 19011:2018 Internal Auditing, I bring a structured yet adaptive approach to every project. I’m well-versed in Agile methodologies (Scrum) and experienced with tools such as Jira, Confluence, and Trello for effective planning, monitoring, and collaboration.Currently pursuing my Master’s in Global Production Engineering at Technische Universität Berlin, I’m focused on connecting project management, operational excellence, and data-driven decision-making to build systems that are efficient, scalable, and sustainable. I believe great projects aren’t just delivered — they’re engineered, improved, and evolved through clarity, collaboration, and curiosity.
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