Open to opportunities

Shashidhar Pinnamshetty

@shashidharpinnamshet

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Aspiring software engineer and data scientist skilled in ML, NLP, time-series forecasting, and deployment.

India

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What I'm looking for

I seek roles where I can apply ML and software development skills to build and deploy production-ready models, collaborate cross-functionally, and grow in AI/ML and cloud technologies.

I am a B.Tech CSE (AIML) student with hands-on experience in data science and software development, focused on delivering deployment-ready solutions. I combine strong programming skills in Python and Java with knowledge of SDLC, testing, and configuration management.

During internships and projects I developed ML solutions — including a malicious URL detector achieving 92% accuracy and a hybrid recommender that improved accuracy by 35% — and automated pipelines to reduce preprocessing time by 20%.

I have applied time-series forecasting to financial datasets with 85% accuracy and produced actionable insights through EDA and testing. I am proficient with Scikit-learn, TensorFlow, NLP techniques, and visualization tools such as Power BI, Matplotlib, and Seaborn.

I bring strong collaboration, communication, and problem-solving skills, and I pursue continuous learning through certifications and workshops to stay current in AI/ML and cloud-related practices.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Zidio Development

Aug 2025 - Oct 2025 (2 months)

Applied time series forecasting on financial datasets achieving 85% accuracy, automated preprocessing pipelines to reduce time by 20%, and delivered three actionable insights through EDA and testing.

Time Series Python TensorFlow scikit learn data preprocessing Testing

Education

Degrees, certifications, and relevant coursework

CMR Engineering College

Bachelor of Technology, Computer Science (AIML)

2022 -

Grade: 7.91 CGPA

Pursuing a B.Tech in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning; coursework and projects focused on ML, NLP, and software development.