Swathi DronadulaSD
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Swathi Dronadula

@swathidronadula

Motivated Computer Science graduate with expertise in Python and machine learning.

India
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What I'm looking for

I am looking for a dynamic role that fosters innovation and growth, where I can leverage my skills in software development and machine learning.

I am a motivated and adaptable Computer Science graduate with a strong foundation in programming languages such as Python, Java, C, and SQL. My journey in technology has been marked by hands-on experience in machine learning, IoT, and full-stack development. I am a certified PCAP™ Python Developer, which has equipped me with the skills to tackle complex coding challenges and develop functional applications.

During my internship at E,ite Tech, I successfully completed various coding tasks, enhancing my Python proficiency by 30%. I developed projects like an Email Slicer and a Dice Roll Simulator, which not only honed my technical skills but also strengthened my problem-solving abilities. My academic projects, including a Street Light Monitoring System and a Fake News Detection System, allowed me to apply my knowledge in real-world scenarios, focusing on functionality and user experience.

I am passionate about AI, Cloud Computing, and Software Development, and I continuously seek opportunities to grow and contribute to innovative projects. My strong analytical thinking and communication skills enable me to work effectively in teams and deliver impactful solutions.

Experience

Work history, roles, and key accomplishments

SE

IoT System Developer

Self Employed

Jan 2023 - May 2023 (4 months)

Designed an IoT-based system for real-time monitoring and control of street lighting, leveraging IoT, sensors, and microcontrollers for data collection and analysis. Implemented remote control features and conducted thorough testing and documentation to ensure system robustness.

SE

Machine Learning Engineer

Self Employed

Oct 2022 - Dec 2022 (2 months)

Developed a machine learning-based system for fake news detection, utilizing NLP algorithms for linguistic and sentiment analysis. Trained models with TensorFlow and scikit-learn to achieve high classification accuracy and integrated a user-friendly reporting system using Flask.

Education

Degrees, certifications, and relevant coursework

CT

Chalapathi Institute of Engineering and Technology

Bachelor of Technology, Computer Science and Engineering

Grade: 7.6 GPA

Studied core concepts of Computer Science and Engineering, including programming languages, data structures, and algorithms. Gained practical experience in various technologies and developed strong problem-solving skills.

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