Arjun Rawat
Hello! I'm Arjun, a dedicated and passionate tech enthusiast with a strong foundation in data science and software development.
About
Hello! I’m Arjun, a dedicated and passionate tech enthusiast with a strong foundation in data science and software development. My journey has equipped me with a diverse set of skills, and I thrive on tackling challenges in innovative ways. I enjoy translating complex data into actionable insights and building solutions that make a difference in everyday life.
With experience in multiple programming languages and cloud technologies, I pride myself on being a lifelong learner. Whether I’m working on AI projects, web development, or data analysis, I bring enthusiasm and creativity to every endeavor. Outside of work, I love exploring new tech trends and sharing knowledge with peers.
- 2 years' experience
- Joined October 2025
Industry experience
- Software & Internet
- Professional Services
- Computers & Electronics
- Healthcare
Work experience· 4 roles
Maintain efficient data systems ensuring 100% accuracy and timely information flow to clients across multiple programs. Process and log program-specific correspondence using advanced database management, maintaining error-free records. Leverage Microsoft Office suite and digital collaboration tools (Teams, SharePoint) to streamline cross-functional workflows.
Learned and applied machine learning algorithms (supervised & unsupervised) and AI model development. Worked with Python, Pandas, NumPy, and Scikit-learn for data cleaning, preprocessing, and analysis. Built and tested predictive models and performed model evaluation & optimization. Created data visualizations (Matplotlib, Seaborn) to communicate insights. Gained exposure to end-to-end ML workflows, from dataset preparation to deployment concepts.
Developed and deployed an AI-powered document assistant using FastAPI, PostgreSQL (pgvector), and NLP models, increasing document summarization efficiency by 25%. Designed and implemented a full-stack web application integrating multiple AI assistants with a React front end, reducing response latency by 20%. Optimized debugging and deployment workflows, cutting release cycle time by 15% while maintaining code integrity with Git/GitHub.
Education
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