Amna Shamshad

Siemens Graduate Program | Smart Infrastructure

Germany

About

I am a Fulbright Scholar from Pakistan with a strong foundation in data engineering, analytics, and business intelligence. My academic journey took me to New Jersey, USA, where I studied as part of the prestigious Fulbright program. Along the way, I’ve been fortunate to work on diverse projects and challenges in industries spanning Germany, the USA, and Pakistan. With experience in Python (including TensorFlow, PySpark, and scikit-learn), SQL, Tableau, and ETL tools like Talend, I’ve designed solutions that simplify complex problems. From developing interactive dashboards to streamline revenue growth, to building ETL pipelines that automate processes and save significant manual effort, I thrive on creating impact through data-driven solutions. I am truly passionate about leveraging technology to solve real-world problems. I firmly believe that everyone has something unique to offer, and there’s always something to learn from others’ experiences. This mindset has driven me to approach challenges with curiosity and collaboration, learning from my peers and colleagues to grow both personally and professionally. Outside of work, I love traveling, and I enjoy immersing myself in diverse cultures and perspectives. If you’re passionate about data, technology, or would like to share ideas, feel free to connect. I’m always excited to collaborate, learn, and grow.

Experience

  • Siemens Graduate Program at Siemens
    Sep 2024 - Present · 1 yr 10 mos

    Assignment 1: • Created transparency across SI's Digital Twin portfolio; built the first structured overview covering capabilities, use cases, and strategic positioning of each offering. • Categorised Digital Twin products by maturity level, developing a framework that positions each solution on the spectrum from basic monitoring to fully autonomous digital twins. • Mapped placement within the Digital Twin hierarchy, clarifying how offerings relate across the portfolio and surfacing strategic gaps and overlaps for senior leadership. • Analysed industry applications to identify growth opportunities and inform go-to-market positioning for SI India. Assignment 2: Role: Co-PLM for OT Companion; one of the feature sets within Electrification X. • Contributed to the SI EA Northstar strategy, supporting department-level strategic planning and alignment. • Developed KPI dashboards and analytics for 12 OT Companion tenants, enabling data-driven management decisions. • Created AI-powered vulnerability assessment tool with scoring metrics, risk levels, and recommended remediation actions delivering actionable insights to management. • Designed CVSS Environmental Scoring methodology, translating technical data into structured performance reports for cross-functional stakeholders. • Led data quality improvement initiative with RPD to reduce false positives, driving efficiency and analytical accuracy.

  • Stevens Institute of Technology (10 mos)
    • Graduate Teaching Assistant
      Sep 2023 - Jun 2024 · 10 mos

      • Ensured timely grading and constructive feedback to ~60 students and one on one tutoring. • Supervised and guided students during assignments and projects involving hypothesis testing and experimental design

    • Research Assistant
      Jan 2024 - May 2024 · 5 mos

  • Data Analyst Intern at SCORE Mentors
    Jul 2023 - Aug 2023 · 2 mos

  • Data Engineer at Afiniti
    May 2021 - Aug 2022 · 1 yr 4 mos

    • Transformed extensive datasets into interactive dashboards using Tableau and MySQL, unveiling drivers of revenue growth, identifying top-performing call center agents, resulting in a 60% increase in revenue. • Developed an ETL pipeline utilizing Talend to automate the calculation process for client performance and revenue, resulting in a significant 90% reduction in manual time investment. • Transformed datasets into dashboards driving revenue growth resulting in a 60% increase in revenue.

  • Associate Software Engineer at i2c Inc.
    Dec 2020 - Apr 2021 · 5 mos

    •Designed and implemented an efficient automated card generation system using Python and MySQL, for ~40 clients ensuring seamless transactions, enhanced customer experiences and eliminating the possibility of human errors associated with incorrect table updates by 100%. • Evaluated client concerns in payment industry across approximately 40 US and Canadian clients, using Informix and MySQL, significantly improving the overall client satisfaction and customer experience.