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Jewel James

-Data & AI Consultant-

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About Me

Jewel is a Manager at Deloitte Australia’s Data & AI practice, with over 7 years of experience leading complex data transformation, migration, and analytics programs across the Health, Retail, Public, and Mining sectors. He is skilled in designing and delivering scalable data solutions that help clients modernise their platforms, enhance data quality, and unlock business value. Jewel has extensive experience managing end-to-end project lifecycles, from strategy and solution design to execution, with expertise spanning data engineering, cloud platforms, and business intelligence. He is recognised for strong stakeholder engagement, team leadership, and his ability to bridge technical delivery with business outcomes.

Experience

Deloitte

Manager

  • Led Data Migration for large scale $200M+ Health industry project(2022–2025), replacing legacy HR/payroll/rostering systems with SAP SuccessFactors & UKG Dimensions.
  • Directed end to end Data Migration lifecycle – sourcing, data quality uplift, data modelling, transformation, mapping, remediation, and target system loading.
  • Facilitated Design Workshops with SAP SMEs and senior stakeholders, defining complex deliverables in the Data Migration SOW.
  • Led the end to end modernization of mining sector business intelligence reporting, driving KPI automation and overseeing Snowflake data modeling and delivery of enterprise PowerBI dashboards for cross-domain insights
  • Designed and implemented metadata driven ingestion pipelines in Talend/DataRemedy, reducing setup time and enabling scalable, reusable data processes.
  • Oversaw manual & automated remediation (via Talend Data Stewardship and custom pipelines), ensuring high quality cleansed data for deployment.
  • Orchestrated ETL workflows & migration pipelines, optimising load times, performance, and data accuracy across multiple tenancies (AWS, Azure, WA Health DPC).
  • Managed a team of consultants in executing business transformation rules, achieving compliance with target state objectives.
  • Delivered Power BI dashboards for modern reporting, driving transparency in data quality KPIs, migration progress, and stakeholder reporting.
  • Partnered with senior client executives, aligning technical delivery with business objectives, enabling smooth go-lives.
  • APlayed a key role in embedding Agile practices in program delivery, improving sprint velocity and collaboration across client, Deloitte, and SME teams.

Amazon

Analyst

  • Extracted and processed vast amounts of data from diverse sources, employing Python and SQL scripting
  • Delivered accurate, high-quality data with granular-level accuracy, surpassing 100 million rows with strict deadlines
  • Identified the valuable information within the unstructured data and transformed it in a tabulated form to enable further analysis.
  • Performed descriptive and prescriptive analyses on retail data, enabling customer profiling.
  • Developed a reporting tool for showing valuable information to the stakeholders.
  • Communicated reports and work completed with project stakeholders
  • Contributed significantly to the Product Compatibility Platform team, yielding an incremental turnover of $9 million in 2015.
  • Provided oversight by reviewing daily status updates and tracking analyst progress.
  • Experience in taking over 25+ technical interview rounds. Conducted over 25 technical interview rounds, showcasing expertise in assessing candidates' technical capabilities.

Education

RMIT University

(Australia) Feb 2019 - July 2021

Master of Data Science

Awarded Masters's degree with Distinction

Anna University

(India) June 2011 - April 2015

Bachelor of Engineering in Computer Science

Completed bachelor of engineering degree in computer science under the faculty of information and communication engineering and placed in First class

Project Showcase

Project DeCarbo

Project DeCarbo is an innovative Web-App, creating personalized green portfolios for individuals and businesses, assessing carbon footprints and offering tailored eco-friendly recommendations. It empowers users to make sustainable choices, explore greener areas, and set goals while earning Green Points for rewards like loan advantages and tax incentives. It's a movement toward an environmentally conscious world where sustainability is both encouraged and rewarded..

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The Zeroo app

The Zeroo app employs a machine learning model to predict user purchase patterns, offer tailored product recommendations, and minimize food wastage. Users input product details and expiry dates, receiving reminders and the option to donate to nearby NGOs. Donations trigger notifications, aiding NGO inventory planning, while users receive tokens for discounts on future purchases.

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Energetik

Energetik offers users insights into energy consumption and charges, utilizing time-series forecasting for future usage and bills. They compare individual and neighborhood consumption, aiding relocation decisions. A reward-based system encourages eco-friendly usage, while a credit-based payment scheme assists during COVID-19, using tokens for bill payment.

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Insightopedia

"Insightopedia App" aids governments in analyzing unemployment trends, correlating demographic factors, and informing effective policy decisions for targeted investments, thereby striving to lower unemployment rates and enhance global living conditions.

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Trash to Cash

Introducing a Trash to Cash App based on subscription and circular economy models. Users lease devices, can donate old ones for NGO tokens, promoting eco-friendly behavior. Manufacturers sell e-waste to recyclers, fostering a circular economy. Platform tracks revenue and carbon footprint for transparency and sustainability.

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Stance Classification in Tweets using NLP

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Classify Images of Road Traffic Signs

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Satellite Intelligence Sugarcane Harvest Forecasting Model

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Covid-19 Analytics Web App

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UniLodge Management System

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Skills

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