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 Intern

EizenAcademy Kramakrishnan College of Technology

Jan 2025 - Present (1 year 2 months)

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

EizenAcademy KRamakrishnan College of Technology

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

2025 -

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.