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Dhruv Nirmal

@dhruvnirmal

Message

Client-facing data scientist building ML, forecasting, and automation with Python and SQL.

Australia

Message

What I'm looking for

I’m looking for a client-facing data science role where I can own problems end to end—building ML/forecasting and analytics dashboards, automating reporting with LLMs, and working closely with stakeholders to deliver measurable commercial impact.

I’m a data scientist and analyst who builds ML, forecasting, and analytics solutions that drive commercial decisions. I own work end to end—from framing ambiguous problems through modelling, dashboards, and stakeholder recommendations—across pricing, forecasting, classification, anomaly detection, and AI automation.

In my current role, I led pricing and cost analytics end to end for an AU/NZ restaurant chain, identifying close to 30% savings (roughly A$2M over a year). I also delivered an ML spend classification pipeline to automate categorisation, cutting a multi-week account workflow down to a single-day model run, and built forecasting with Prophet (delivering ~12.5%–14% error) via dashboards. I’ve further automated multi-region spend ingestion (reducing weekly processing from ~4–5 hours to ~75 minutes) and created LLM-driven, multi-agent report automation that saves ~12–15 hours a week through multi-agent QA.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Purchasing Index Data Analytics (Comprara Group)

Jun 2024 - Present (2 years 1 month)

Client-facing data science and analytics consultancy work across pricing, classification, demand forecasting, spend automation, and LLM-based report automation. Owns end-to-end pipelines and stakeholder dashboards used for procurement and finance decision-making.

Current

Data Scientist, Purchasing Index

Current

Comprara Group

Jun 2024 - Present (2 years 1 month)

Client-facing data and analytics work covering pricing and cost analytics, ML spend classification, demand forecasting, and agentic report automation. Owns end-to-end pipelines and dashboards, including automated ingestion and validation across multiple regions.

Data Engineer Intern

Victorian Centre for Data Insights (VCDI)

Aug 2023 - Nov 2023 (3 months)

Built a distributed anomaly-detection pipeline in Databricks using PySpark on large-scale government procurement data, including scalable transformation layers. Developed and presented a Power BI analytics solution for Department of Transport stakeholders.

Databricks PySpark Anomaly Detection ETL Power BI Data Engineering data transformation

Research Data Analyst

Terminal Ballistics Research Laboratory (TBRL, DRDO)

Jan 2021 - Jul 2021 (6 months)

Acquired, analysed, and filtered blast-wave signal data to predict noise levels, producing a detailed report. Improved noise reduction and prediction accuracy through signal processing and statistical modelling.

Matlab Signal Processing Butterworth Filtering Data Analysis Blast Wave Signal Data Report Writing Statistical Modeling Technical Reporting

Education

Degrees, certifications, and relevant coursework

Monash University

Master of Data Science, Data Science

2022 - 2023

Completed a Master of Data Science with coursework in statistics, machine learning, applied forecasting, high-dimensional analysis, and communicating with data.