Kathmandu, Nepal

Bhanu Shrestha

Industrial Engineer/Data Scientist/ETRM Business Analyst

I work where process engineering meets data, in energy trading and risk management. My days are spent turning how traders, schedulers and settlement teams actually operate into requirements, forecasts and reporting that survive contact with production.

BS

Sr. Business Analyst

Hitachi Energy

Based
Kathmandu, UTC+05:45
Domain
Energy trading & risk
Since
August 2017
Focus
Forecasting & optimisation
peak 19:00 00:00 24:00
Daily load shapeillustrative
About

Engineering background, data practice, energy domain.

Process thinking, applied to energy data

I trained as an industrial engineer, which is really a training in looking at a system, finding where time and value leak out of it, and fixing the process rather than the symptom. I have spent my career since 2017 at Hitachi Energy applying that lens to energy trading and risk management — a domain where the process is a trade lifecycle and the leaks show up as manual reconciliation, stale positions and reports nobody trusts.

The data science came from the same direction. Forecasting demand and volumes, testing models against what actually happened, and building the reporting layer that puts those numbers in front of people who have to decide something before the market closes. I work mostly in Python, SQL and Power BI, inside TRMTracker, and increasingly with LLM-assisted tooling for the documentation and analysis work that used to eat whole afternoons.

Experience

Nine years in one domain, deepening rather than hopping.

Sr. Business Analyst

Aug 2017 — Present

Hitachi Energy

Rotary Complex, Kathmandu, Nepal

  • Gather requirements from trading, scheduling and settlement users and translate them into functional specifications for TRMTracker, covering the lifecycle from deal capture through to invoicing.
  • Build forecasting and analytical models in Python and SQL, and deliver them as Power BI reporting used for position, exposure and volume analysis.
  • Apply Lean and Six Sigma methods to map recurring operational processes and cut manual handling out of reporting and reconciliation work.
  • Coordinate testing, UAT and release activity in JIRA across business stakeholders and engineering, keeping specification, test evidence and delivery in step.
Skills

What I reach for, grouped by the job it does.

01 · Analysis

Data & modelling

PythonSQLML librariesForecastingLLM
02 · Domain

Energy trading & risk

TRMTrackerETRMTrade lifecycleRequirements & UAT
03 · Engineering

Process & optimisation

OptimizationSix SigmaLeanProcess mapping
04 · Delivery

Reporting & tooling

Power BIJIRAGitCloud
Education

Industrial engineering first, then data science.

2025

Master's in Data Science

Tribhuvan University — School of Mathematical Sciences

2017

B.E. Industrial Engineering

Tribhuvan University — I.O.E. Thapathali Campus

Projects

Selected work in forecasting, optimisation and ETRM.

Status · in preparation

Project write-ups are on the way

I am putting together shareable versions of forecasting, optimisation and ETRM work — the parts that can leave the building. Until they are here, code and notebooks live on GitHub and Kaggle.

Contact

Open to conversations about ETRM, forecasting and analytics work.

Let's talk

The quickest route is email — I read everything, and reply to anything with a real question in it.