I grew up around my family's retail business, where I developed an interest in how data drives business decisions. Today, I use Python, SQL, Tableau, and Power BI to transform data into meaningful insights, with hands-on experience in financial and healthcare analytics. I'm now building on that foundation with real work in AI, Machine Learning, and Generative AI — including a hybrid RAG + tool-calling assistant built with the Gemini API.
Based in Kathmandu, Nepal.
A1 IT Innovation – Damak, Nepal September 2025 – Present
- Identified a 15% year-over-year decline in a client bank's liquidity ratio (FY 2023/24) through financial performance analysis
- Deliver healthcare analytics for government hospital clients, translating raw data into actionable reports
- Manage data versioning and reproducibility across client projects using DVC
A1 IT Innovation – Damak, Nepal December 2024 – June 2025
- Real-world data analysis across e-commerce and finance domains
- Used Python, Excel, and Tableau to process and visualize business data
Cubical Technologies – Itahari, Nepal December 2023 – March 2024
- Improved data accuracy by 20% via streamlined Python/SQL data cleaning
- Built Tableau dashboards for healthcare and industrial growth trends
- Recommended SEO strategies that increased platform visibility by 15%
- Contributed to automated data pipeline design, reducing manual effort by 30%
Core Tools & Languages: Python (Pandas, NumPy), Excel, SQL, Tableau, Power BI, Flask, Git, GitHub, DVC
AI / GenAI: Gemini API, RAG, FAISS, Sentence Transformers, Tool-Calling, Prompt Engineering
Machine Learning & Analytics: Regression, Classification, Feature Engineering, Model Optimization
Engineering & Process: OOP, SDLC, Requirements Gathering & KPI Definition
Bachelor of Computer Application Tribhuvan University – Kathmandu, Nepal CGPA: 3.62 Relevant Coursework: Data Analysis and Visualization, Statistics, Financial Accounting, Introduction to Management
- Deloitte Australia – Data Analytics Job Simulation
- Introduction to Programming Using Python (CS50P) – edX / Harvard University
- Data Visualization Using Tableau – EC-Council
A hybrid AI analytics assistant combining SQL tool-calling and RAG over 40,000+ real customer reviews — using local embeddings, FAISS, and MMR retrieval, with explicit system-prompt safeguards against LLM hallucination.
- Python, Gemini API, RAG (FAISS + MMR), DuckDB, Streamlit GitHub Repository
A dual-tool analysis of 111,000+ incidents (2000–2017) — trend, correlation, attack method, and geographic patterns, cross-verified against real-world historical events, built in both pandas and Power BI.
- Python, Pandas, Power BI, Geospatial Analysis GitHub Repository
End-to-end EDA testing whether brand, discounting, geography, sales channel, and customer income level actually drive purchasing behavior — includes a data-provenance case study identifying the dataset as synthetically generated based on consistent evidence across six independent tests. Implemented in both pandas and SQL.
- Python, Pandas, SQL,
groupby,pd.cut,pd.crosstab, CTEs, window functions GitHub Repository · Dataset on Kaggle
A Flask web app using machine learning (Random Forest) to analyze soil, environment, crop type, and season for personalized agricultural recommendations.
- Flask, Machine Learning, RESTful APIs GitHub Repository
An end-to-end web application using machine learning to classify air quality from real-time environmental data.
- Python, Flask, Docker Deployment GitHub Repository
- Email: contact@rahulagrawal.com.np
- Portfolio: rahulagrawal.com.np
- LinkedIn: linkedin.com/in/agrawalrahul1025
- GitHub: github.com/Rahul5021
- Kaggle: kaggle.com/rahulagrawal1025