Karthik Varma Nandakumar Rama Varma

Master’s in Digital Engineering || Power BI || Data Science || CRM Analyst || JavaScript Developer || Python

Hannover-Braunschweig-Göttingen-Wolfsburg Region

About

As a Master's student in Digital Engineering at Otto-von-Guericke University Magdeburg, I bridge the gap between engineering, data science, and business strategy. My academic journey has equipped me with a solid foundation in Python, simulation, data engineering, and machine learning — complemented by hands-on experience in data-driven decision-making and process optimization. Professionally, I’ve worked in diverse environments — from developing CRM insights and automating business workflows at Cognizant to driving data visualization and product intelligence at Voith Group. At Voith, I worked on integrating and visualizing data from platforms like SAP BI, Salesforce, and Excel using Power BI and DAX to uncover aftermarket sales opportunities. I’ve also created reports, dashboards, and models that enabled leadership to identify customer needs and growth areas more effectively. With a keen interest in AI, Industry 4.0, and analytics, I thrive in cross-functional teams and fast-paced environments that blend technology with impactful problem-solving. I’m always seeking opportunities where I can apply both technical and strategic thinking to make meaningful contributions. Let’s connect — especially if you’re building something at the intersection of data, technology, and innovation.

Experience

  • Volkswagen Group ()
    • Master Thesis - Data Engineering / Benchmarking Lakehouse Architecture
      Mar 2026 - Present · 5 mos

      1. Designed and developed a Python-based benchmarking framework to evaluate cloud data storage architectures for dashboard and analytics workloads across multiple scenarios and execution rounds. 2. Built an automated data engineering pipeline for benchmark execution, result collection, and experiment tracking using Python, Bash, JSON, and Linux to improve reproducibility and traceability. 3. Worked with AWS S3, Parquet, DuckLake, Iceberg and metadata catalogs to analyze scalable access patterns for time-series and analytical data workloads. 4. Implemented repeatable performance experiments with multiple warm runs per scenario and structured output manifests to support reliable comparison of latency, read performance, and workload stability. 5. Engineered benchmark orchestration and unattended scheduling workflows using Linux automation and shell scripting for consistent large-scale test execution.

    • Intern Group Technology IT - Software Engineering, Data Visualization & DevOps
      Sep 2025 - Mar 2026 · 7 mos

      During my internship at Volkswagen Group Technology IT, I have been working on data visualization and dashboard development across both Python and React environments. My work involves building analytical dashboards using Plotly, NumPy, Pandas, Streamlit, and Dash, as well as developing TypeScript-based UI components that follow the Volkswagen Group design system. I support the team by analyzing complex datasets, shaping clear visual insights in Python and Power BI, and implementing front-end updates that improve the usability of our internal tools. I also contribute to data pipeline development and collaborate through GitHub to keep our workflows organized and consistent.

  • Intern Data Science & Product Management at Voith Paper
    Feb 2025 - Jul 2025 · 6 mos

    As an intern at Voith Paper, I contributed to enhancing the aftermarket business by analyzing business intelligence data to uncover service and sales-based client opportunities—particularly around paper machines. I worked extensively in Excel (pivot tables, visualizations) and transitioned into Power BI, integrating data from SAP BI, Salesforce, iBase, and Excel to build a unified sales master source. I created dynamic dashboards using Power Query and DAX to support data-driven decisions, optimize customer targeting, and identify new growth areas. Additionally, I supported product management with market analysis and KPI definition to guide strategic planning in a global industrial context.

  • Programmer Analyst(CRM) at Cognizant
    Jan 2021 - Sep 2022 · 1 yr 9 mos

    Salesforce developer specializing in Development using Java, JavaScript, HTML, CSS, SQL, and also Unit testing, Customization, Process Automation, Apex, Lightning, and Integration.

  • Student Assistant at Vikram Sarabhai Space Centre,Isro
    Jul 2019 - Aug 2019 · 2 mos

    I had the privilege of undertaking an internship under Vikram Sarabhai Space Centre(VSSC), a research division of the Indian Space Research Organization(ISRO). The internship involved conducting corrosion tests on an aluminum alloy known as AA7075. Microscopy, Polarization, and Strain tests were performed on the material to understand its corrosion morphology better. This project at ISRO provided me with significant exposure. It has been an honor for me to be a part of such an organization and to understand how it operates.

  • Student Trainee at Steel and Industrial Forgings Ltd
    Jul 2017 - Jul 2017 · 1 mo