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Hi, I’m Ismail Arshad, a junior Data/BI analyst with hands-on experience analyzing real-world datasets, automating data workflows using Python and SQL, and building Power BI dashboards to support business decision-making. I enjoy turning messy data into clear insights that help teams act quickly. I’m actively exploring AI/ML opportunities through internships, LLM evaluation projects, and academia, with Honours studies in Machine Learning. I’m eager to grow into data-driven and AI-focused roles where I can contribute to smarter decision-making.…Hi, I’m Ismail Arshad, a junior Data/BI analyst with hands-on experience analyzing real-world datasets, automating data workflows using Python and SQL, and building Power BI dashboards to support business decision-making. I enjoy turning messy data into clear insights that help teams act quickly. I’m actively exploring AI/ML opportunities through internships, LLM evaluation projects, and academia, with Honours studies in Machine Learning. I’m eager to grow into data-driven and AI-focused roles where I can contribute to smarter decision-making.

Ismail Arshad

Data Analyst, Data Annotator, Data Visualizer, +4

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Hi, I’m Ismail Arshad, a junior Data/BI analyst with hands-on experience analyzing real-world datasets, automating data workflows using Python and SQL, and building Power BI dashboards to support business decision-making. I enjoy turning messy data into clear insights that help teams act quickly. I’m actively exploring AI/ML opportunities through internships, LLM evaluation projects, and academia, with Honours studies in Machine Learning. I’m eager to grow into data-driven and AI-focused roles where I can contribute to smarter decision-making.…Hi, I’m Ismail Arshad, a junior Data/BI analyst with hands-on experience analyzing real-world datasets, automating data workflows using Python and SQL, and building Power BI dashboards to support business decision-making. I enjoy turning messy data into clear insights that help teams act quickly. I’m actively exploring AI/ML opportunities through internships, LLM evaluation projects, and academia, with Honours studies in Machine Learning. I’m eager to grow into data-driven and AI-focused roles where I can contribute to smarter decision-making.

Available to hire

Hi, I’m Ismail Arshad, a junior Data/BI analyst with hands-on experience analyzing real-world datasets, automating data workflows using Python and SQL, and building Power BI dashboards to support business decision-making. I enjoy turning messy data into clear insights that help teams act quickly.

I’m actively exploring AI/ML opportunities through internships, LLM evaluation projects, and academia, with Honours studies in Machine Learning. I’m eager to grow into data-driven and AI-focused roles where I can contribute to smarter decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

Expert

Work Experience

AI/Data Intern at Arcanite Research

August 1, 2025 - November 1, 2025

Designed and prototyped an end-to-end time-series explanation workflow for suburb-level forecasting, transforming raw sequential model outputs into structured feature-impact summaries; analyzed 36-month sequences and 100+ demographic/market features to identify periods and variables most strongly influencing price and rent forecasts; designed input formats and data-mapping logic enabling a language model to accurately explain predictions and be accessible to non-technical stakeholders; built a cloud-based prototype on Google Cloud Platform for scalable experimentation, versioning, and future deployment.

Data Annotation Prompt Engineer at Arcanite Research

June 1, 2024 - November 1, 2025

Annotated and analyzed over 10,000+ lines of code to train machine learning models; developed 200+ custom Python-based prompt scenarios and evaluation scripts, including unit tests, to probe and strengthen LLM performance; reviewed and generated 70+ API-based interaction templates to simulate real-world prompt inputs/outputs; created and validated 100+ structured Google Sheets tailored to specific LLM prompts; conducted peer reviews and rated 500+ annotations to refine training datasets and improve model generalisation.

Junior Data Analyst at Data Analytics and Modelling Pty Ltd

December 1, 2023 - Present

Analyzed datasets (10k–80k+ rows) across 5+ small–medium business clients, supporting tracking of sales and operational performance. Built and maintained Power BI dashboards used for monthly reporting, improving visibility into key metrics and reducing reliance on manual spreadsheet tracking. Automated data cleaning and transformation using Python and SQL, cutting preprocessing time by 2–4 hours per dataset across recurring reporting tasks. Standardised column names, date formats, and dataset structures across client data, reducing inconsistencies and eliminating repeated data cleaning across reporting tasks. Identified and resolved data issues, improving the accuracy and reliability of reports used by business stakeholders.

Data Analyst Intern at Data Analytics and Modelling Pty Ltd

September 1, 2023 - November 1, 2023

Cleaned, structured, and validated datasets with ~10k+ records, improving data quality for downstream analysis. Conducted exploratory data analysis on monthly datasets to identify trends, anomalies, and patterns in key metrics. Assisted in automating data cleaning and formatting for monthly datasets (8k–15k rows) using Python, reducing manual preprocessing time by 2–3 hours per dataset and improving consistency across reports. Developed Power BI reports to track monthly performance metrics, helping the team monitor trends and identify inconsistencies.

Prompt Engineer / LLM Evaluator at Freelancer

June 1, 2024 - Present

Completed prompt engineering and model evaluation work for multiple AI clients, focusing on code understanding, reasoning, and API-based interactions. Annotated and analysed 10,000+ lines of code to identify failure cases and improve training dataset quality. Developed 200+ Python-based prompt scenarios and evaluation scripts (including unit tests) to test LLM performance on edge-case reasoning tasks. Designed and reviewed 70+ API interaction templates to simulate real-world prompt inputs and outputs. Created and validated 100+ structured datasets to align prompts, expected outputs, and evaluation criteria across multiple domains. Reviewed and rated 500+ model outputs, identifying weaknesses and improving model generalisation.

Data Analyst at DAM Group

December 1, 2023 - Present

Analyzed datasets (10k–80k+ rows) across 5+ small–medium business clients, supporting tracking of sales and operational performance; built and maintained Power BI dashboards used for monthly reporting; automated data cleaning and transformation using Python and SQL; designed relational data models to improve data integrity and enable more efficient querying and reporting; standardized and validated client datasets by aligning structures and resolving data quality issues.

Data Analyst Intern at DAM Group

September 1, 2023 - November 1, 2023

Cleaned, structured, and validated datasets (~10k+ records), improving data quality for downstream analysis; conducted exploratory data analysis on monthly datasets to identify trends, anomalies, and patterns in key metrics; assisted in automating data cleaning and formatting for monthly datasets (8k–15k rows) using Python, reducing manual preprocessing time; developed Power BI reports to track monthly performance metrics.

Freelancer Prompt Engineer / LLM Evaluator at Self-employed / Freelancer

June 1, 2024 - Present

Completed prompt engineering and model evaluation work for multiple AI clients, focusing on code understanding, reasoning, and API-based interactions; annotated and analyzed 10,000+ lines of code to identify failure cases and improve training dataset quality; developed 200+ Python-based prompt scenarios and evaluation scripts; designed and reviewed 70+ API interaction templates; created and validated 100+ structured datasets; reviewed and rated 500+ model outputs to improve generalisation.