Aneesh Pedram

Operations Analyst at Dhl

Based in Melbourne, Australia

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Seniority

Staff

Department

Operations

Location

Melbourne

Industry

Transportation; Logistics; Supply Chain and Storage

Company size

225K

Contact information

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Email

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a•••••••@••••••.com

Phone

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+61 ••• •••• ••••

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Background

About Aneesh Pedram

Hi, I’m Aneesh. I’m a Data Analyst based in Melbourne with a strong passion for transforming data into actionable insights that drive measurable business value. My journey into data analytics began with a background in Business Administration and evolved through hands-on experience across real estate, logistics, education, AI prototyping, and financial analytics. Currently pursuing a Master’s in Data Science at Deakin University, I focus on building scalable dashboards, predictive models, and data-driven solutions that enable strategic decision-making. With 2+ years of analytics experience, I’ve delivered 10+ interactive dashboards, predictive models, and automation pipelines using tools such as Power BI, SQL, Excel, Tableau, and Python. My recent work includes partnering with the City of Melbourne at Chameleon to deliver six open-data use cases, achieving a 100% client acceptance rate, and developing an Investment Scoring Model that classified Melbourne’s suburbs into investment profiles for better property insights. Some key highlights: Led an analytics team at Chameleon, improving delivery efficiency by 20% and achieving full client approval on all deliverables. Designed and deployed predictive and scoring models that improved investment forecasting accuracy by 30%. Cut billing discrepancies by 20% at DHL and reduced turnaround times through operational data analysis. Skills: Data wrangling | Dashboard development | SQL querying | Predictive modelling | Statistical analysis | Stakeholder reporting Tools: Python, SQL, Power BI, Tableau, Excel, Azure Cloud, Google Cloud Platform Certifications: Google Advanced Data Analytics | UC Davis SQL for AB Testing I’m always eager to connect with fellow data professionals, tech enthusiasts, and organisations working at the intersection of data, operations, and innovation. Let's connect: aneeshpedram1@gmail.com

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