About Me
Smridh Varma
Data, AI-MLOps and Product
👨💻 About Me
I am a Master of Science in Business Analytics (MSBA) student at the National University of Singapore (NUS), originally from Mumbai.
I operate at the intersection of Data Science and Engineering. My focus is on unmasking the black box of AI—moving beyond simple API calls to architecting robust ML pipelines and autonomous agents. I believe in keeping the Human in the Loop: understanding the why behind the what.
🛠️ Featured Projects
Each project below links to a technical breakdown on my blog. More coming soon….
🤖 The Agentic Web
AI Systems & Architecture
#### AuditFlow: Seamless, Agentic and Explainable Claims Processing
An enterprise-grade microservice architecture for automated regional claims triage with 100% decision transparency — solving the "Black Box AI" problem in insurance.
Tech: Python, Agentic AI, LangGraph, RAG, FastAPI, Docker
The Code: https://github.com/SmridhVarma/AuditFlow
The Build Log: https://shorturl.at/PDtZk
⚙️ Gradient Ascent
ML Engineering & Forecasting
Customer Churn Prediction
A comprehensive data science project focused on Customer Churn Prediction within the telecommunications industry. Explores contrast between glassbox and blackbox models.
Tech: Python
The Code: https://github.com/SmridhVarma/customer-churn-prediction
The Build Log: https://shorturl.at/Ok6I7
🧩 Technical Skills
| Domain | Key Technologies | Expertise & Impact |
| AI & Machine Learning | LangChain, LangGraph, XGBoost, SHAP, EBM, RAG, Transformers | Developing explainable E2E AI agents and cost-sensitive predictive pipelines. |
| Data Analytics & Stats | pandas, NumPy, SEM, ISM, ANOVA, Power BI, Tableau | Extracting actionable insights from complex surveys and visualizing business trends. |
| Software Engineering | Python, SQL, FastAPI, Streamlit, Docker, Git | Building and deploying scalable microservices and interactive data applications. |
| Databases & Cloud | PostgreSQL (Neon), MongoDB, MySQL, AWS, Azure, Railway | Managing serverless and relational databases for regional, production-ready routing. |
🎓 Education
Master of Science in Business Analytics (MSBA) National University of Singapore (NUS)
GPA: 4.25
Relevant Coursework: Operations Research, Analytics for Managerial Economics, Data Management and Warehousing, Applied ML for Business Analytics, Quantitative Finance Management, Transforming Organization with Data Storytelling.
📬 Contact Me
I am currently open to roles in Data Science, AI Engineering, and Product Management.
If you want to discuss the latest in the AI Economy, Agentic AI, or just trade sci-fi book recommendations (big fan of Silo and Severance), reach out below.
Email: smridhv@u.nus.edu
LinkedIn: linkedin.com/in/smridhvarma
"The best way to predict the future is to invent it."
