Olivier De Lille - Eneco Solar Belgium
10/8/2022William is very professional and knowledgeable in his work (especially Data Science). He did a thorough assessment of our needs and when it came time to deliver he did not disappoint.
Welcome to William's freelance profile!
This freelancer has confirmed full-time availability in the past 7 days.
Location and workplace preferences
- Location
- Gent, OV, België
- Can work onsite in your office in
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- around Gent and 50km
- Around Kortrijk and 100km
- Around Brugge and 100km
- Around Antwerpen and 100km
- Around Brussel and 100km
Preferences
- Project length
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- ≤ 1 week
- ≤ 1 month
- Between 1-3 months
- Between 3-6 months
- ≥ 6 months
Verifications
Freelancer code of conduct signed
Read the Malt code of conduct
Languages
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Dutch
Native or bilingual
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English
Native or bilingual
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French
Conversational
Categories
Skills (31)
- Methodologies
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- Project Management
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- All
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William in a few words
Hey Ya!
William here. Thanks for stopping by my profile!
In short: Scrum, SAFe, Extreme Programming, PMP expert; Specialised in Machine Learning, Automation, Client relationships & Sales
My expertise is trouble projects, which need to be delivered yesterday! Every year I'm turning many failed projects into success stories.
Let's assess your project:
1. Do you have a project scope written down? With detailed deliverables? User stories? Acceptance criteria defined? That's the first thing we'll talk about: SCOPE. I need to know the goal to can get you there.
2. Do you have a deadline defined? For each deliverable? and a responsible? That's second on the agenda.
3. Do you have regular status meetings? PM tools? Communication tools? Organized folders? That's 3rd: I'll create structure and build habits.
Let's get the S*** done!
Few examples of projects I led:
Experienced in:
- Job architecture restructuring Data, Automation, IoT,.
- Leading international teams up to 50 Consultants/
- Very experienced in Client relationship building and maintaining
- Advising on agile digital tooling within project management
- Using Watson Analytics (IBM AI Tool) for statistic analyses
- Managing teams on an international complex projects
- Demo and Advise on skill cloud and talent transformation
Putting my experience in numbers will look like this:
William here. Thanks for stopping by my profile!
In short: Scrum, SAFe, Extreme Programming, PMP expert; Specialised in Machine Learning, Automation, Client relationships & Sales
My expertise is trouble projects, which need to be delivered yesterday! Every year I'm turning many failed projects into success stories.
Let's assess your project:
1. Do you have a project scope written down? With detailed deliverables? User stories? Acceptance criteria defined? That's the first thing we'll talk about: SCOPE. I need to know the goal to can get you there.
2. Do you have a deadline defined? For each deliverable? and a responsible? That's second on the agenda.
3. Do you have regular status meetings? PM tools? Communication tools? Organized folders? That's 3rd: I'll create structure and build habits.
Let's get the S*** done!
Few examples of projects I led:
- New technologies, AI, Machine Learning, deep learning
- Big enterprise systems development & implementation
- Mobile apps, web portals
- Workflows optimization
- New products launch
- Business Intelligence
- Big IoT & Automation Projects
Experienced in:
- Job architecture restructuring Data, Automation, IoT,.
- Leading international teams up to 50 Consultants/
- Very experienced in Client relationship building and maintaining
- Advising on agile digital tooling within project management
- Using Watson Analytics (IBM AI Tool) for statistic analyses
- Managing teams on an international complex projects
- Demo and Advise on skill cloud and talent transformation
Putting my experience in numbers will look like this:
- 4 years + of successfully leading international projects
- 100 Million EUR project budgets managed
- 1 national Award as one of the best PMs as per IPMA
- 4 continents that I delivered projects from
- 5 languages that I did project management
- 12 industries
- +50 project successfully delivered!
- + 100 team members that I managed
Portfolio
Experience
IBM - IBM Group
Digital & IT
Senior IT Project Manager
• Responsible for managing & selling all business around Data & AI within the IBMas a Project Manager.
• Supporting clients on data topics, within a focus on Data Strategy, (Enterprise) Data Modelling and Data Platform Modernization.
• Define & design the new data platform for Port of Rotterdam
• Define use cases to validate
• Coordinate technical tests
• Align with infra team, for resources and network access between applications. Work very close together with our subcontractors Axians
• Manage relation with the vendor during the POC, to escalate issues and communicate on technical challenges
• Organise knowledge sharing and inspirations meetings around the new implemented technology
• Participate and evaluate the new selection of datawarehouse automation tools
• Pitch the outcome to the board of directors at the board meeting (supported with a senior architect).
• Define the various data patterns needed to move data from the source through the full pipeline.
• Kick start the design of the model track to align with the business information model; envisioning the ensemble modelling approach, toe establish an iterative population of the data lake and data warehouse, and drive best business value and alignment first
• Participate in technical architecture alignment meetings
• Works as Data Engineer for Heineken setting up data pipelines for IoT data. Part time advise as data architect for the Heineken account.
• Data Strategy & Data governance, IBM supports multiple business units in the Flemish government with their mission to become more data driven. IBM supports the Flemish government with building & writing out data strategy, the implementation and the knowledge.
Used skills on this project:
Creating of deliverables: Datastrategy, Business Analysis
Project Management
Reporting
Implementation
Facilitating workshops
• Supporting clients on data topics, within a focus on Data Strategy, (Enterprise) Data Modelling and Data Platform Modernization.
• Define & design the new data platform for Port of Rotterdam
• Define use cases to validate
• Coordinate technical tests
• Align with infra team, for resources and network access between applications. Work very close together with our subcontractors Axians
• Manage relation with the vendor during the POC, to escalate issues and communicate on technical challenges
• Organise knowledge sharing and inspirations meetings around the new implemented technology
• Participate and evaluate the new selection of datawarehouse automation tools
• Pitch the outcome to the board of directors at the board meeting (supported with a senior architect).
• Define the various data patterns needed to move data from the source through the full pipeline.
• Kick start the design of the model track to align with the business information model; envisioning the ensemble modelling approach, toe establish an iterative population of the data lake and data warehouse, and drive best business value and alignment first
• Participate in technical architecture alignment meetings
• Works as Data Engineer for Heineken setting up data pipelines for IoT data. Part time advise as data architect for the Heineken account.
• Data Strategy & Data governance, IBM supports multiple business units in the Flemish government with their mission to become more data driven. IBM supports the Flemish government with building & writing out data strategy, the implementation and the knowledge.
Used skills on this project:
Creating of deliverables: Datastrategy, Business Analysis
Project Management
Reporting
Implementation
Facilitating workshops
FlinQ Automation (cronos group)
Digital & IT
Automation Developer & Project Manager
• Led a team of 8+ consultants as project manager on 15+ client engagements; responsible for scoping client areas of concern and distilling that in project deliverables divided efficiently amongst team members to attain goals.
• Developed and maintained end – to – end computer vision pipeline for object recognition on 2 accounts.
• Support the consultants on data availability
• Execute end to end data chain extracting data from SAP with inhouse automation tool,
• Discussing with client business and IT teams on data requirements needs
• Working for multiple customers
• Managing workload and planning conflicts
• Adhere on Data quality issues, availability, completeness, correctness, duplicates
• Development, design and deploy the solution on customers infrastructure and align with the teams for access, IT related issues and go live alignment
• Execute Data strategy initiatives
• Align with BI team of customer
• Optimize business analysis process, and establish best practices
• Built web scraper and application for AI using Intelligent Automation tools.
• Experience with setting up data pipelines
• Extensive exposure to Microsoft Azure: Data Factory,..
• Consulted a major Belgian airline by conducting a commercial feasibility and creating a new business plan resulting in over 200,000 euros in saving and eventually leading to funding access from the federal government.
• Consulted a chemicals manufacturer to automate their financial records system. Shifted from a manual legacy system to a fully computerized system within 2 months, attaining 50,000 euros in savings and saving almost 5,000-man hours.
• Attained savings of 200 man-hours per week for an internet service provider by automating their invoicing system, saving costs and leading to a 99% accuracy rate.
• Created new revenue stream from Slovenia by selling a quality assurance project to a consulting firm, now a regular client
• Developed and maintained end – to – end computer vision pipeline for object recognition on 2 accounts.
• Support the consultants on data availability
• Execute end to end data chain extracting data from SAP with inhouse automation tool,
• Discussing with client business and IT teams on data requirements needs
• Working for multiple customers
• Managing workload and planning conflicts
• Adhere on Data quality issues, availability, completeness, correctness, duplicates
• Development, design and deploy the solution on customers infrastructure and align with the teams for access, IT related issues and go live alignment
• Execute Data strategy initiatives
• Align with BI team of customer
• Optimize business analysis process, and establish best practices
• Built web scraper and application for AI using Intelligent Automation tools.
• Experience with setting up data pipelines
• Extensive exposure to Microsoft Azure: Data Factory,..
• Consulted a major Belgian airline by conducting a commercial feasibility and creating a new business plan resulting in over 200,000 euros in saving and eventually leading to funding access from the federal government.
• Consulted a chemicals manufacturer to automate their financial records system. Shifted from a manual legacy system to a fully computerized system within 2 months, attaining 50,000 euros in savings and saving almost 5,000-man hours.
• Attained savings of 200 man-hours per week for an internet service provider by automating their invoicing system, saving costs and leading to a 99% accuracy rate.
• Created new revenue stream from Slovenia by selling a quality assurance project to a consulting firm, now a regular client
Bleckmann
Transportation
Data Engineer
• Supervised a team of 250 staff as a trainee, serving the warehousing and logistics needs of clients worth over €1 billion.
• Conducted analyses with variety of languages/tools: Python, R, SQL,..
• Attained a fast-track promotion to the Business Intelligence team by creating a R based program that optimized stocking between active and bulk inventory sides, leading to higher employee utilization and minimal delays in orders.
• Deveop Dashboards in R with data sourced from Wharehousing software.
• Understand and document current data asseets, systems and flows
• Participate in the GDPR initiative
• Delivering quality data and trustworthy reporting related
• Advise on best practices on data modelling and setup of data and analytics teams
• Build reports, and execute analysis
• Halved the restocking time by creating and implementing a robot-based process automation system in the warehouse.
• Worked on several continuous improvement projects to enhance employee utilization, save costs and attain efficiencies.
• Designed and implemented AI solution to automate monitoring of the Warehouse order picking, packing and shipping process.
• Worked on improving the shipping flow & simontaniously making sure the CO2 polution becomes less over time a 3 year period. Improving algorithm’s performance through parallelization
• Conducted analyses with variety of languages/tools: Python, R, SQL,..
• Attained a fast-track promotion to the Business Intelligence team by creating a R based program that optimized stocking between active and bulk inventory sides, leading to higher employee utilization and minimal delays in orders.
• Deveop Dashboards in R with data sourced from Wharehousing software.
• Understand and document current data asseets, systems and flows
• Participate in the GDPR initiative
• Delivering quality data and trustworthy reporting related
• Advise on best practices on data modelling and setup of data and analytics teams
• Build reports, and execute analysis
• Halved the restocking time by creating and implementing a robot-based process automation system in the warehouse.
• Worked on several continuous improvement projects to enhance employee utilization, save costs and attain efficiencies.
• Designed and implemented AI solution to automate monitoring of the Warehouse order picking, packing and shipping process.
• Worked on improving the shipping flow & simontaniously making sure the CO2 polution becomes less over time a 3 year period. Improving algorithm’s performance through parallelization
Are you sure? Your recommendation will be permanently deleted
Wouter Maes - KPMG
10/8/2022William did extremely well for our project, is well experienced, super organized, kept everything on track and was a valued member of the team. As a scrum master, his agile skills are great and he had control of the team's activities. I would highly recommend him and hope to work with William again one day.
Gilles Vandewiele - Ghent University
9/8/2022William was a tremendous help to me and my team. He came into a difficult situation and immediately dove in and took control of the project. I will definitely work with him again!
Magali Van Landegem - Capgemini
9/8/2022Working with William was a great experience. He single handedly managed all stakeholders in a large project delivery. Will definitely work with William again!
Education
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Business Engineering Data Analytics
Ugent
2018 A business engineer has a thorough knowledge of the discipline of business administration and technology, i.e. technological products and processes. In this respect, a business engineer may act as a mediator between technical and business economic positions to conduct data analysis, modelling and decision-making.
He is trained to develop and implement business solutions starting from a model to a business process and to develop and implement solutions for business problems. Also, he models the real business situation in an (abstract) presentation, takes relevant decisions based on the model and translates these decisions into business processes.
Certifications
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Blockchain EssentialsIBM
2022 -
Cognitive PractitionerIBM
2022 -
Business Automation WorkflowIBM
2022 -
Project ManagerIBM
2022