Mihir
Bachkaniwala
Turning complex data into actionable strategies. With 5+ years of experience in Python, SQL, and Tableau, I influence policy and operations through data storytelling.
About Me
Deciphering the
Digital Noise
I am a Data Analyst specializing in turning complex datasets into clear, actionable strategies. Based in Wellington, I help organizations bridge the gap between raw information and meaningful business impact.
Strategic
Insight
Empowering decisions through data-driven clarity.
The Technical Core
Analytical Toolkit
Languages
Visualization
Data Wrangling
Environments
Case Studies & Initiatives
Selected Projects
Report Migration (SSRS to .NET)
Migrated legacy SSRS reports to a modern .NET reporting platform, improving maintainability, performance, and scalability. Collaborated with stakeholders to ensure successful transition with minimal business disruption.
Site Name Standardisation
Partnered with cross-functional teams to establish standardised site naming conventions across systems. Improved data consistency, reporting accuracy, and interoperability between business applications.
Weekly Report Automation
Automated recurring weekly reports, eliminating manual processing and reducing the risk of human error. Enhanced reporting efficiency and ensured timely delivery of business insights.
Business Process Optimisation
Analysed and streamlined existing business processes to improve operational efficiency and reduce administrative overhead. Identified opportunities for automation and continuous improvement.
Business Process Documentation
Developed comprehensive process documentation, capturing workflows, business rules, and key dependencies. Improved knowledge sharing, governance, and onboarding for team members.
Workflow Framework Implementation
Designed and implemented workflow frameworks to standardise processes and improve consistency across projects. Enabled scalable and repeatable solutions for future initiatives.
Digital Transformation Project
Contributed to a digital transformation programme focused on modernising systems and processes. Worked closely with MOE business and technical teams to support adoption of innovative digital solution.
Journey
The Narrative
Professional Journey
Analyst Data and Information
@ Ministry of Social Development (MSD)
Analysis of Health, Safety and Security data to identify trends, risks, and operational insights that informed strategic decision-making across MSD.
Developed and maintained reporting solutions and dashboards, improving accessibility and visibility of HSS information for stakeholders.
Improved data integrity through audits, validation checks, and quality assurance processes, reducing inconsistencies in reporting data.
Partnered with cross-functional teams to analyse client behaviour, assess risks, and deliver data-driven recommendations.
Utilised Python, SQL, and BI tools to automate analysis and reporting workflows, improving efficiency and reducing manual effort.
Data Specialist
@ Blue Star New Zealand
Delivered customised data solutions for clients, ensuring data readiness for operational and reporting requirements.
Designed and implemented automated data quality control workflows, reducing manual processing effort and improving accuracy.
Managed data preparation activities, including import, standardisation, deduplication, and data cleansing.
Delivered customised data solutions for clients, ensuring data readiness for operational and reporting requirements.
Established repeatable processes for new data projects, improving delivery consistency and reducing turnaround time.
Proven Value
Major Achievements
A summary of key milestones, processes automated, and systemic updates executed across different positions.
Data Integrity & Quality Assurance
Improved data quality and reporting accuracy through implementation of validation and audit processes.
Process Automation & Scale
Automated reporting workflows using Python and SQL, reducing manual effort and improving delivery consistency.
Strategic Dashboards & Reporting
Developed dashboards and reporting solutions used by operational and strategic stakeholders.
Insights-Driven Decision Making
Supported data-driven decision-making through analysis of trends, risks, and client behaviour.
Standardised Workflow Frameworks
Established repeatable data preparation and cleansing processes for new projects.