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I am Shaik Anisuzzaman, a Data Scientist and Senior Data Analyst with a strong mathematical and statistical foundation, experienced in predictive modelling, data engineering, and business intelligence. I work with Python, Power BI, and Azure to deliver actionable insights and scalable analytics solutions. I enjoy transforming complex data into strategic decisions through innovation, automation, and stakeholder collaboration. I thrive on building self-service analytics, mentoring teammates, and turning policy and business questions into data-driven recommendations.…I am Shaik Anisuzzaman, a Data Scientist and Senior Data Analyst with a strong mathematical and statistical foundation, experienced in predictive modelling, data engineering, and business intelligence. I work with Python, Power BI, and Azure to deliver actionable insights and scalable analytics solutions. I enjoy transforming complex data into strategic decisions through innovation, automation, and stakeholder collaboration. I thrive on building self-service analytics, mentoring teammates, and turning policy and business questions into data-driven recommendations.

Shaik Anisuzzaman

Data Scientist, Data Analyst, AI Engineer, +3

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I am Shaik Anisuzzaman, a Data Scientist and Senior Data Analyst with a strong mathematical and statistical foundation, experienced in predictive modelling, data engineering, and business intelligence. I work with Python, Power BI, and Azure to deliver actionable insights and scalable analytics solutions. I enjoy transforming complex data into strategic decisions through innovation, automation, and stakeholder collaboration. I thrive on building self-service analytics, mentoring teammates, and turning policy and business questions into data-driven recommendations.…I am Shaik Anisuzzaman, a Data Scientist and Senior Data Analyst with a strong mathematical and statistical foundation, experienced in predictive modelling, data engineering, and business intelligence. I work with Python, Power BI, and Azure to deliver actionable insights and scalable analytics solutions. I enjoy transforming complex data into strategic decisions through innovation, automation, and stakeholder collaboration. I thrive on building self-service analytics, mentoring teammates, and turning policy and business questions into data-driven recommendations.

Available to hire

I am Shaik Anisuzzaman, a Data Scientist and Senior Data Analyst with a strong mathematical and statistical foundation, experienced in predictive modelling, data engineering, and business intelligence. I work with Python, Power BI, and Azure to deliver actionable insights and scalable analytics solutions.

I enjoy transforming complex data into strategic decisions through innovation, automation, and stakeholder collaboration. I thrive on building self-service analytics, mentoring teammates, and turning policy and business questions into data-driven recommendations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Insights Analyst (Compliance) at Solar Victoria, Department of Energy, Environment and Climate Action

July 1, 2024 - Present

Led the design, development, and optimisation of data models, ETL pipelines, and reporting solutions across Azure SQL, Microsoft Fabric and Power BI, driving efficiency and scalability within the analytics platform. Developed and maintained Microsoft Fabric Dataflows to streamline ingestion and transformation processes, improving data quality and reducing pipeline maintenance overhead. Developed and deployed interactive Power BI dashboards that translated complex compliance and operational data into intuitive visual insights, improving decision-making across regulatory and business teams. Migrated and modernised reporting infrastructure to Azure SQL Server, reducing reporting latency and dependency on legacy systems. Built predictive and risk-based analytics models in Python to identify underperforming retailers/installers, increasing compliance rates from 70% to 85%. Collaborated with cross-functional stakeholders to align data solutions with regulatory and strategic objectives, influ

Senior Data Insights Analyst (Compliance) (Solar Victoria) at Department of Energy, Environment and Climate Action

July 1, 2024 - Present

Led the design, development, and optimisation of data models, ETL pipelines, and reporting solutions across Azure SQL, Microsoft Fabric and Power BI, driving efficiency and scalability within the analytics platform. Developed and maintained Microsoft Fabric Dataflows to streamline ingestion and transformation processes, improving data quality and reducing pipeline maintenance overhead. Built interactive Power BI dashboards translating complex compliance and operational data into intuitive insights, improving decision-making across regulatory and business teams. Migrated and modernised reporting infrastructure to Azure SQL Server, reducing reporting latency and dependency on legacy systems. Built predictive and risk-based analytics models in Python to identify underperforming retailers/installers, increasing compliance rates from 70% to 85%. Mentored junior analysts in Power BI, SQL, and data storytelling, fostering a culture of self-service reporting and data literacy. Partnered with D

Senior Data and Modelling Analyst/Data Scientist at Department of Energy, Environment and Climate Action

January 1, 2024 - June 1, 2024

Led the design and implementation of economic and predictive models to forecast extractive resource trends and assess impacts of Victorian housing initiatives. Applied machine learning and econometric methods to analyse complex datasets, improving policy insights and resource planning. Developed interactive Power BI dashboards and data visualisations to communicate model outputs. Conducted scenario and sensitivity analyses to evaluate the effects of policy or market changes on key economic indicators. Partnered with stakeholders and domain experts to translate analytical findings into actionable recommendations for senior government decision-makers. Ensured data quality, governance, and reproducibility through best-practice modelling workflows and quality assurance frameworks.

Senior Data Analyst at Department of Jobs, Skills, Industry and Regions

July 1, 2022 - January 1, 2024

Led design and development of Power BI and Tableau dashboards, delivering automated, data-rich reporting to support key business units. Implemented CI/CD data pipelines using AWS (S3) and Snowflake to support secure, scalable data processing for the Sick Pay Guarantee program. Developed an ARIMA forecasting model to predict program cashflows, improving financial planning accuracy. Partnered with stakeholders to define metrics and translate analytical needs into clear, actionable visualisations. Promoted self-service analytics adoption by delivering training sessions and creating accessible documentation for non-technical users.

Senior Data Analyst at Victorian Department of Families, Fairness & Housing (DFFH)

February 1, 2022 - June 1, 2022

End-to-end maintenance of customization and deployment of existing and new Power Platform solutions (Power BI). Developed advanced DAX calculations, measures, and KPIs to provide deep insights and facilitate interactive data exploration. Resolved complex operational problems and liaise with various stakeholders. Building Power BI based reports and dashboards using business intelligent techniques. Developed a centralised automated reporting and analysis dashboard for multiple projects to reduce workforce from daily manual updating. Identifying, analysing and interpreting the trend from the complex data set and summarize using visualization tools to make easy in decision making. Mentored and guided junior analysts, fostering their growth and ensuring adherence to best practices in Power BI development. Presented insights to executive leadership to facilitate data-informed discussions and drive organizational initiatives. Applied advanced statistical and weighting techniques to survey dat

Data Analyst at Victorian Department of Health

December 1, 2021 - February 1, 2022

Maintaining and publishing Power BI reports for various stakeholders. Maintaining various R Scripts for generating outputs for COVID-19 outbreak management. Working with SQL Server for maintaining database for COVID-19 Testing data and Vaccination data. Developed a Python-based program to automate duplicate finding process for the CRM, which increased team efficiency by 50%. Established a standard data analysis and technical investigation process for the team to maintain client requirements as a whole.

Data Engineer at AOPEN Australia & New Zealand Pty Ltd

October 1, 2019 - June 1, 2021

Ingested data from data sources using a combination of SQL, Google Analytics API and Salesforce API using Python to create data views to be used in BI tools. Designed data pipeline architecture for a product that quickly scaled from 0 to 10,000 daily active users. Contributed to a Data Lifecycle Management project, responsible for efficiently migrating data from an on-premises data center to the Google Cloud Platform (GCP).

Data Analyst (Network) at Nokia Solutions & Networks Australia Pty Ltd

January 1, 2014 - September 1, 2019

Optimised resource planning and reduced material waste by developing predictive models to forecast spare parts and resource requirements for upcoming projects. Provided data analytics and reporting support to the logistics team, enhancing operational efficiency and supply chain decision-making. Maintained and improved data quality through advanced SQL queries and optimisation techniques, ensuring accuracy and performance for downstream analytics. Developed Power BI dashboards and DAX-based reports, delivering regular business insights and performance tracking for senior management. Conducted statistical and trend analyses to translate complex datasets into actionable recommendations for business strategy. Identified and resolved data and network-related issues by collaborating with delivery partners, minimising operational disruptions and improving service reliability.