Open to opportunities

Jeeveshwaran Jeevanandam

@jeeveshwaran

AI & Data Science graduate building machine-learning and vision tools that solve real-world problems through software engineering.

India

Message

What I'm looking for

I’m looking for an entry-level role where I can build AI/ML and data products end-to-end, ship working applications with Python and Azure, and keep growing by solving real business problems with measurable impact.

I’m an AI and Data Science graduate with experience building AI-powered tools, including vision assistants, code analysis systems, and data analytics platforms. I enjoy turning real problems into intelligent applications using machine learning, natural language techniques, and practical software engineering.

In my Data Science Internship, I developed a Recommendation Engine using Python that increased user engagement by 15% through personalized study paths. I’ve also built Visio (AI vision assistant with Azure OpenAI + GPT-4o Vision), VisionVox (voice-controlled onboarding using camera input and speech recognition), CodeSense AI (repository intelligence with NLP), and DataGPT (natural-language, SQL-like analytics for non-technical users).

Experience

Work history, roles, and key accomplishments

Data Science

EizenAcademy

Jan 2025 - Feb 2025 (1 month)

Developed a Python-based recommendation engine that increased user engagement by 15% through personalized study paths.

Python Machine Learning Recommendation Systems Data Analysis Personalization SQL Data Visualization Natural Language Processing

Education

Degrees, certifications, and relevant coursework

K Ramakrishnan College of Technology

Bachelor of Artificial Intelligence and Data Science, Artificial Intelligence and Data Science

2025 -

Grade: 7.02

Activities and societies: Developed a Recommendation Engine using Python that increased user engagement by 15% through personalized study paths.

Bachelor of Artificial Intelligence and Data Science, with a data science internship where a Python recommendation engine increased user engagement by 15% through personalized study paths.