
Hello, I'm Om Umrania. I'm an AI Systems Architect focused on building leverage at the intersection of technology, strategy, and growth. I design intelligent workflows that transform complex challenges into execution engines. My focus is Applied AI, GenAI & Strategic Operations.
About Me
I am an AI Systems Architect working at the intersection of technology, strategy, and execution. My work centers on designing intelligent systems that translate complex data into scalable impact, particularly in healthcare and growth-driven environments. I focus on Applied AI, GenAI, and building operational leverage through thoughtful system design.
Currently, I am deepening my expertise through real-world AI implementations. This includes developing voice-first AI sales training systems, architecting knowledge-driven chatbot workflows, and building data analytics frameworks. As I prepare to begin my journey at Masters’ Union, I am intentionally moving toward roles that combine AI fluency with strategic decision-making, product thinking, and Founder’s Office execution.
Beyond systems and strategy, I remain deeply curious. I enjoy reading books that expand perspective and challenge assumptions. In my leisure time, I choreograph and dance freestyle. It serves as a creative counterbalance that keeps my thinking dynamic and expressive.
I am driven by long-term thinking. I aim to build meaningful systems, contribute to impactful ventures, and continuously evolve as a high-agency operator. Growth, collaboration, and intellectual rigor define my path as I focus on creating leverage, not just outputs.
My projects
Credit Card Fraud Detection
Built machine learning models to detect fraudulent transactions with over 90% accuracy. Visualized results using confusion matrices and ROC curves.
- Python
- XGBoost
- Scikit-learn
- Data Analysis

Medical Insurance Cost Prediction
Developed Linear Regression models to predict insurance costs with an R-squared value of 0.85. Conducted data preprocessing and feature engineering.
- Python
- Linear Regression
- Pandas
- Scikit-learn

Healthcare Data Analysis
Conducted data analysis and built Random Forest models for health outcome predictions with 85% accuracy.
- Python
- Random Forest
- Scikit-learn
- Data Visualization

Personal Portfolio Website
Responsive portfolio built with Next.js showcasing projects and blogs.
- TypeScript
- Next.js
- Tailwind CSS

My skills
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My Experience
Business Data Analyst Intern
SaathealthJul 2024 – PresentAnalyzed large-scale healthcare datasets, developed real-time dashboards, and conducted market research to support strategic decision-making.
Research Internship in ML and DS
Constrogreen Techno SolutionsDec 2023 – Feb 2024Developed machine learning models for Medical Insurance Analysis using Neural Networks and Linear Regression. Gained expertise in Python and Scikit-learn.
President, Innovation Incubation Cell & Entrepreneurship Development Cell
Dr. D.Y. Patil Institute of Engineering, Management and ResearchJul 2023 – Jul 2024Led MSME Defense Expo 2024 and mentored students in advanced AI research techniques. Organized interdisciplinary AI projects.
Human Resource & Sponsorship Curator
TEDxDYPakurdiJul 2022 – Jun 2024Organized TechXplore and AI research sessions, promoting research and public engagement to over 500 students. Strengthened sponsorship relationships and event management.
Technical Coordinator
Pytho-War & Data Wizards HackathonFeb 2023Coordinated the Machine Learning Hackathon and designed data science problem statements. Enhanced participant experience by designing effective datasets and solution challenges.
Learning Management Portal UI/UX Contributor
FreelanceJan 2024 – Jun 2024Contributed to designing a user-friendly interface and integrated project management features using Notion. Created responsive pages with Next.js and Tailwind CSS.
Contact Me
Please contact me at omumrania2020@gmail.com or through this form.