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Narayan Bhandari

@narayanbhandari

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Data Scientist & ML Engineer | GenAI & RAG | Python, SQL, Power BI | End-to-End AI & Data Solutions

India

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What I'm looking for

I'm looking for a remote-first role where I can build production-grade machine learning and AI solutions, work on meaningful data problems, and collaborate with strong engineering and product teams. I'm particularly interested in Data Science, Machine Learning, Applied AI, and GenAI roles with opportunities to own projects end-to-end.

I'm a Data Scientist & ML Engineer focused on building end-to-end data, machine learning, and AI solutions that turn complex data into measurable business impact. I work across Python, SQL, Power BI, machine learning, GenAI, RAG, and agentic AI.

In my recent role, I built automated data and reporting pipelines that replaced 15+ hours of manual reporting each week, while developing ML solutions on operational datasets containing 5–10M records. I achieved an F1 score of 0.88 on a highly imbalanced production dataset and improved the baseline by 18+ points.

I also build practical GenAI applications using LangChain, LangGraph, OpenAI APIs, RAG, vector search, and local LLMs. My projects include conversational agents, AI data-analysis tools, and full-stack AI applications.

I enjoy solving ambiguous business problems end-to-end—from data extraction and validation to modeling, automation, visualization, and deployment—with a strong focus on reliable, decision-ready outputs.

Experience

Work history, roles, and key accomplishments

Data Scientist

Gs managexpert

Mar 2025 - Jan 2026 (10 months)

Built end-to-end data pipelines, replacing 15+ hours of manual reporting weekly with Power BI monitoring across 10+ KPIs. Developed ML models on 5–10M-record datasets, achieving F1 = 0.88 on an imbalanced production dataset, an 18+ point improvement over baseline. Built GenAI tools with LangChain and OpenAI API, including RAG workflows and Python ETL with OCR.

Data Analyst

Global Accountancy

Nov 2021 - Nov 2023 (2 years)

Analyzed 1M+ financial records using SQL and Python to identify trends, uncover insights, and support monthly business decisions. Built automated reporting workflows that reduced manual effort and improved data reliability across recurring financial reporting cycles. Translated business questions into data-driven recommendations for stakeholders.

Python SQL Power BI Data Validation Data Analysis Dashboard Development Automation

Education

Degrees, certifications, and relevant coursework

Tribhuvan University

bsc statistics , Statistics

2021 - 2025

Grade: 3.35/4

Studied statistical modelling, experimentation, A/B testing, quantitative methods, and statistical analysis, building a strong foundation for data science and machine learning