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Sunitha DoddaSD

Sunitha Dodda

Manual testing, Automation testing, Data scientist

350 €/Tag
Berlin, DE
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Sunitha

Software Test Engineer | QA & Automation | 6+ Years | Python | CI/CD | Cloud


I am a Software Test Engineer with 6+ years of experience helping teams deliver stable, high-quality software through effective manual testing, test automation, and structured QA processes.

My core focus is functional, regression, and API testing, with strong attention to defect prevention, clear reporting, and release confidence. I work closely with developers and product teams in Agile environments to ensure quality across the development lifecycle.

Alongside my main QA expertise, I bring supporting skills in Machine learning, DevOps, and Deep Learning, which allow me to work efficiently on modern, cloud-based and data-driven systems.

DevOps (supporting): CI/CD pipelines, test integration, deployment validation, AWS, Azure, Docker, Kubernetes

Data & Deep Learning (supporting): Understanding of ML & deep learning workflows (CNN, ANN), validation of data pipelines and model outputs, Python, TensorFlow / Keras.
  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Verhandlungssicher

Vor Ort möglich
Berlin (bis zu 50 km)

Projekt- und Berufserfahrung

  • Freelancer- Self Employed
    Data Scientist
    Juli 2024 - Heute (1 Jahr und 11 Monate)
    Berlin, Germany
    Delivering data science and analytics projects for startups, SME and consultancies.
    Worked on couple of projects, like 1. Customer Churn prediction.
    2. Customer segmentation.
    3. Real estate price predictions
    4. Retail store sales forecasting
    Data science Data analysis artificial intelligence Deep Learning Machine learning
  • Innomatics Research Labs
    Intern (data scientist)
    Januar 2024 - April 2024 (3 Monate)
    Built and deployed model integrated with a Flask web app on AWS EC2.
    • Performed exploratory data analysis and data cleaning using Python (Pandas, NumPy).
    Built and evaluated machine learning models for classification, regression, and clustering.
    Developed deep learning models (ANN, CNN, RNN) using TensorFlow/Keras. Created visualizations and reports to present insights.
    Automated data workflows and scripts to improve efficiency.
    Deployed ML models using Flask for real-time inference. Collaborated with team members on model improvements and project reviews.
    Python Machine learning Data analysis Deep Learning Data visualization
  • Auto1
    QA Engineer (IT)
    E-COMMERCE
    Januar 2018 - Januar 2024 (6 Jahre)
    Berlin, Germany
    Automated UI and API testing Streamlined build processes with Jenkins Ensured database validation
    • Delivered bug-free releases Earned recognition for quality and timeliness
    Automation testing Selenium Manual testing Functional testing end to end testing

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Ausbildung und Abschlüsse

  • IBM Certification in data science Bootcamp DevOps and Cloud Computing
    Ironhack
    IBM Certification in data science Bootcamp DevOps and Cloud Computing
  • ISTQB foundation level certified in software testing Credit & Operational Risk Advance certification
    FLIP.
    ISTQB foundation level certified in software testing Credit & Operational Risk Advance certification

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