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Venkata Sai Swetha GatamaneniVS

Venkata Sai Swetha Gatamaneni

Data Scientist | NLP & Domain-Specific Information

EUR 260/Tag
Erlangen, DE
0-2 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Venkata Sai Swetha

Hi, I'm a data scientist with a passion for solving real-world problems—not just building models, but making data actually useful. My work ranges from creating machine learning solutions and NLP pipelines to designing Power BI dashboards that help teams make better decisions every day.

What sets me apart is that I care as much about clarity and usability as I do about accuracy. I've worked on everything from automating reports and building retrieval systems for technical documents, to helping non-technical teams understand what their data really say.

I help businesses turn raw data into smart decisions—fast. From building ML models and NLP pipelines to automating workflows and designing Power BI dashboards, I deliver tailored, end-to-end solutions.

If you're looking for someone who understands both the technical depth and the business context, I'd be happy to bring that balance to your project.
  • Englisch

    Verhandlungssicher

  • Telugu

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Erlangen (bis zu 50 km)

Projekt- und Berufserfahrung

  • Innomotics GmbH,
    Master's Thesis Student
    Dezember 2024 - Heute (1 Jahr und 6 Monate)
    90 Nuremberg, Germany
    • Developed a Retrieval-Augmented Generation (RAG) system with enhanced tabular-data support, overcoming key limitations in the existing pipeline.
    • Fine-tuned pre-trained embedding models for domain-specific scenarios, boosting semantic search performance across internal company documents.
    • Improved retrieval quality to support accurate, context-grounded responses and reduce hallucinations in downstream applications. 2024/12 – 2025/05 Nuremberg, Germany
  • Siemens AG / Innomotics GmbH
    Working Student in Data Analytics
    Juli 2022 - Oktober 2024 (2 Jahre und 3 Monate)
    91 Erlangen, Germany
    • Developed and managed financial dashboards and reports using Power BI, enhancing data visibility and enabling faster, more informed decision-making across controlling units.
    • Integrated and cleaned data from multiple sources using Power Query, building robust data models that improved data accuracy.
    • Provided valuable data-driven insights into strategic business recommendations for finance teams. Technologies: Power BI, DAX, Excel, Power Query

    2022/07 – 2024/10 Erlangen, Germany
  • PUMA SE
    Working Student – Business Solutions Planning & Analytics
    November 2024 - April 2025 (5 Monate)
    91074 Herzogenaurach, Germany
    • Supported the migration of tool functionalities to Power BI dashboards with PowerON integration.
    • Assisted in testing and validation of newly implemented features to ensure efficiency and accuracy.
    • Collaborated with the Business Intelligence (BI) and Information Technology (IT) teams to communicate business requirements and track progress.

    2024/11 – 2025/04 Herzogenaurach, Germany

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Ausbildung und Abschlüsse

  • Master of Science
    Friedrich Alexander University Erlangen-Nürnberg
    2025
    Master of Science in Data Science
  • Bachelor of Technology
    Sri Venkateswara college of Engineering(Affiliated
    2020
    Bachelor of Technology in Information Technology

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