Co-Founder | Chief Data & Analytics Officer (CDAO)

• Jun 2022 - Present

The Data Build Company is a data and analytics consulting firm focused on quality & delivery. Our team of data builders specialize in providing best-practice, scalable solutions for our clients. Whether helping our clients to build totally new data platforms for their organization or helping to realize new data solutions on an existing technology stack. DBC is your partner to ensure the implementation sits on a solid foundation and will last. The Data Build Company is a data and analytics consulting firm focused on quality & delivery. Our team of data builders specialize in providing best-practice, scalable solutions for our clients. Whether helping our clients to build totally new data platforms for their organization or helping to realize new data solutions on an existing technology stack. DBC is your partner to ensure the implementation sits on a solid foundation and will last.

Lead Data Engineer

• Jan 2023 - Present

Founder

• Jun 2022 - Present

Help businesses bridge the strategy gap to adopt emerging technologies as a core component of their information management and analytics infrastructure. Experience in designing, building, and maintaining complex data-based systems by leveraging cloud services (e.g., AWS, Azure), a variety of data technologies, languages and visualization software. Offer expertise along the full data life cycle - not only guiding businesses through the creation, synthesis, and storage of information, but also identifying opportunities to leverage advanced analytics and artificial intelligence to answer the right questions. Experienced in building and deploying machine learning applications across a variety of complex problems. Experience from development to production - building maintainable solutions which scale. Show less

Lead Data Engineer

• Jun 2022 - Jan 2023

Head of Analytics

• Jun 2020 - Jun 2022

Responsible for defining and implementing a data and analytics strategy to enable the growth and maturity of a centralized practice within the global organization. Doing so by embedding: Latest Technology – Operationalizing a new Data and Analytics platform hosted in AWS to enable IoT, AI / ML, or reporting / self-service analytics use cases. Responsible for the data and solution architecture (i.e., logical, physical, contextual) alignment across domains. Hands-on implementation of best-practices via infra-as-code, networking, user management, data extraction/consumption, CI/CD, storage, orchestration, distribution, and monitoring. Automation – Implementing maintainable, automated workflows to create systemic data flows and governed data entry to remove error-prone manual processes. Data Foundation – Expanding data assets across the enterprise / system landscape with value-driven projects aligned to our data and analytics strategy and company-goals. Perform technical assessments of new potential projects for the team in alignment across domains, at Excom, and Board level. Provide solutions to technical complexities or bottlenecks presented by the business (incl. integration across SAP ERP, CRM, technical definition / roadmap towards Industry 4.0 / OT-IT across manufacturing facilities, and various other systems. Up-skilling – Maturing the team and skillset, both technical and soft skills. Creating new job functions and career development paths. Growing the team while establishing knowledge sharing and hands-on training opportunities aside a value-based project funnel. Process Improvement – Introduced an Agile Framework within the team and on-boarded product owners / business process experts to new way of working. Show less

Data Platform & Strategy Lead

• Jan 2020 - Jun 2020

Team Lead, Data Science & Engineering Lab

• Jun 2019 - Jan 2020

In association with Schiphol’s ambition to become the world’s best digital airport, lead Schiphol’s Data Science CoE (i.e., Data Science and Engineering Lab) - a team of ~20 data scientists and data engineers - to deliver production-grade products to the business. As a team, leverage the latest technology stack to deliver ML and AI solutions as streaming or batch applications; providing descriptive and predictive solutions serving Customer Experience, Operations, and Smart Assets and Buildings value streams. Play a key role in steering and implementing the final architecture and tooling for Schiphol’s Enterprise Data Platform, with direct impact on technology stack, scalability, security, maintenance, and data governance. Responsible for setting best practices in the team. Input into the company-wide definition of hiring for data scientists, data engineers, and data analysts. Established new level assessment and review framework tied to career goals and progression for the team. Grew the team by ~50%. Manage internal and external data scientists and data engineers capacity and allocation to projects. Perform technical assessments of new potential projects for the team. Step in ad-hoc for technical support on work streams. Final determination of preferred tooling for the team. Together with Product Owner, prioritize incoming projects from the business in relation to expected value. Show less

Lead Data Engineer

• Mar 2019 - Jun 2019

Tasked alongside the team to address the stabilization of the infrastructure and applications. Worked with the team to prioritize / simplify / standardize the technical specs of incoming work and the technologies deployed across Schiphol's data and analytics platform. Grew the team and function alongside the needs of the business.

Manager, Analytics & Modeling

• Dec 2018 - Jan 2019

Data Science & Engineering Lead of client engagements, to drive quantitative and qualitative business insights through ML techniques and industry-specific domain knowledge. Engagements included customer segmentation assignments, demand forecasting, market dynamics, intelligent revenue management applications, alliance partnership alignment, and numerous ad-hoc analytics work streams across departmental domains (e.g., Network Planning, Revenue Management, Sales, Operations).

Associate Manager, Analytics & Modeling

• May 2016 - Dec 2018

Managed and architected cost-effective, scalable analytics solutions leveraging a variety of data platforms (e.g., MS SQL Server, Hadoop, Spark, Hive, S3, Redshift), languages (e.g., SQL, Python, R, SAS, Scala, PySpark) and visualization software (e.g., Tableau, Power BI). Deployed and managed specialized cloud data management resources (AWS, Azure). Developed and maintained pipelines connecting data lake or data warehouse solutions. Managed advanced analytics design of global client workstreams to drive quantitative and qualitative business insights through descriptive, predictive, and prescriptive approaches. Applied ML / AI techniques (e.g., Supervised, Unsupervised, Deep Learning and Reinforcement Learning) and industry-specific domain knowledge. Created process design and internal business case development for advanced analytics products. Team won Accenture Data Science Hackathon in London for customer hyper-relevance. Interacted with Senior Management, Executive, and C-level to adopt methodology and/or steer well-supported business decision. Show less

Analytics Specialist

• Jul 2015 - May 2016

Performed data mining and visualization techniques via SAS/SQL/Tableau to identify operational trends and assign drivers (e.g., exploratory and regression analysis). Developed statistical models to forecast safety metric performance and KPI creation (e.g., time-series forecasting and smoothing techniques). Created and maintained automated reporting solutions using a variety of business intelligence tools (e.g., Teradata, DB2, Oracle Hyperion) and programming languages (e.g., SAS, SQL, Bash). Troubleshot automated scripting issues and proactively monitored their performance with an effort to increase efficiency. Managed and/or assisted with ad hoc projects to support corporate and divisional operations initiatives. Effectively communicated with Senior Management across divisions to streamline and validate workstreams. Show less

Consulting Analyst

• Mar 2015 - Jul 2015

Leveraged descriptive, exploratory, inferential, predictive, and causal statistical analyses to deliver business intelligence for natural gas and electric utility clients. Applied ETL techniques across various client datasets via SAS/SQL. Performed energy efficiency analysis via SAS to implement statistical modeling procedures. Evaluated demand-side efficiency measures via statistical sampling techniques. Generated client-focused (technical and non-technical) reports documenting model selection and interpreted analysis. Show less

Research Associate

• Mar 2013 - Mar 2015

Analyzed thermochemical process yields and improvement. Generated monthly reports pertinent to California Energy Commission (CEC) grant requirements. Researched and analyzed industry trends and technology adoption to strengthen business plan and incentivize investing. Itemized avenues for market penetration and quantified distinct competitive advantage. Developed business relationships to establish equipment procurement and first-level process review. Leveraged modeled results to initiate technology development under company budget. Maintained ownership of work in fast-paced, results-oriented start-up atmosphere. Expanded interdisciplinary research and analysis abilities to accelerate company growth. Show less

Consulting Analyst

• Jun 2013 - Sep 2014

Executed projects that enabled top-tier energy value chain clients to make strategy decisions. Supply- and demand-side forecasts (i.e., ARIMA techniques) within industry/market constraints. Gathered energy market data on production, consumption and price to analyze trends and assign drivers. Managed large datasets and presented forecast results within project narrative. Established forecast of natural gas production, pipeline and LNG movements, and industry adoption in North America. Evaluated the U.S. power market to determine renewables adoption and coal-fired plant retirements. Delivered an overview of technology potentials over the 2020-2030-2050 time frame, as well as specified the consequences of these developments upon the required peak capacity, gas volumes and CO2 emissions for Netherlands residential sector. Assessed the impact of building attributes and energy efficiency measures on energy consumption. Show less

Business Trip to China & Mongolia

• May 2011 - Jun 2011

Established relationships with international financial and manufacturing firms in China and Mongolia to analyze global market and policy variance. Discussed avenues for business development. Identified macro and micro economic trends. Established relationships with international financial and manufacturing firms in China and Mongolia to analyze global market and policy variance. Discussed avenues for business development. Identified macro and micro economic trends.