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Warner de Jong

Warner de Jong

B2C Europe | Amsterdam

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Course

Introduction to Python

Data virtuoso, transforming raw numbers into a masterpiece of understanding.

My Work

Take a look at my latest work.

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Introduction to R

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Introduction to Python

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Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Rabobank | May 2022 - Nov 2024

Data Engineer

Rabobank is the second largest Dutch international bank with a €640 Bln. balance sheet total. Global Fortune 500 company. Built, maintained and updated parts of the credit risk infrastructure in handling the storage, processing, and use of data. Eager to pilot and bring improvements to the current way of handling data. ● Successfully set up data pipelines for the transformation of multiple large credit risk portfolios using Python and SQL, as well as Big Data technologies such as Databricks with Apache Spark and Delta within Azure. ● Assisted in the migration towards Cloud Computing with Azure, consolidating data and creating a more secure and manageable environment for the bank. ● Led the switch to Parquet and Databricks, following industry standards and adopting a more scalable and cost-effective approach to data handling, while enabling data collaboration beyond just SQL users. ● Improved Azure data pipelines by migrating work from discontinued services to current ones, and replaced lost functionality by creating new scripts. ● Built a historical and periodically updated dataset for credit risk modelling purposes, enabling data scientists to create trustworthy models with large and up-to-date datasets. ● Improved the quality of data pipelines with logging and integrated a test framework for unit testing with pytest and integration testing with Powershell functions within Azure.
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Rabobank | May 2022 - Nov 2024

Data Consultant (experienced in Data Science and Engineering)

: Leveraged my background in data science, data engineering and business to bridge the gap between data professionals and business stakeholders. Enabled the credit organization in defining a vision and roadmap for Master Data Management. Some achievements are: ● Reduced the data loss between credit teams by helping them transition from separated data solutions and data formats to a unified Databricks solution with Parquet format. ● Delivered presentations and workshops to support developers in the transition, supported managers in hiring additional expertise to guide the transition. ● Supported tech and business stakeholders across teams in defining their individual data requirements, helped create a common understanding of other’s requirements. Enabled the creation of a unified data solution based on those requirements. ● Effectively communicated technical concepts across teams through simplifying processes by easy-to-understand visualizations and simple language-use to help everyone understand and align on the topics that need to be discussed, supporting decision-making. ● Analyzed the current way of working of the credit risk organization from a technical point of view. Assisted stakeholders in creating a roadmap for improvement, understandable and feasible to both tech and business users on data lineage, data processing speed, collaboration across multiple data teams and regulatory compliance.

The.NextGen | Apr 2022 - Present

Data Consultant | Data Scientist | Data Engineer

: Consultancy in Data for mid- and senior-level data consultants : Consultant in Data Science and Data Engineering.

EIFFEL | Feb 2021 - Apr 2022

Lead Data Scientist

: Consultancy in Data, Business Processes, Legal and Finance : Team lead of 9 Data Scientists, achieved the following in Data Science: ● Led a predictive maintenance project on charging stations. Analyzed stations logging data to predict if stations would malfunction and require repairs. Created classification definitions through statistical analysis. Feature engineered relevant predictors. Used various classification models for prediction. Results led to sales offerings to Dutch electricity companies. ● Organized a Data Science Hackathon with Eiffel and Football Club Den Bosch. Evaluated soccer player performance through data. Created the competition datasets for the event. ● Grew the capabilities of EIFFEL's data department by delivering python- based workshops on writing clean code, data acquisition through web- and pdf-scraping, visualizing data, and applying machine learning.

KPN | Jun 2021 - Feb 2022

Data Engineer | Data Scientist

: KPN is the largest Telecom company in the Netherlands with a 45% market share. Global Fortune 500 company. : Data Scientist working as a Data Engineer. Improved my coding practices. My analysis, cleaning and transformation experience helped me process data quickly as an engineer. ● Extracted, transformed and migrated 150+ internal and external legacy data sources into the Oracle Cloud infrastructure. ● Processed sensitive data of 30.000+ employees conform privacy standards with Python. Used Pandas and Machine Learning techniques to structure and normalize data into business-ready datasets. ● Created pipelines to perform data acquisition, data cleansing and data controls systematically on personnel-related subjects spanning from payroll data to employment historical record-keeping. ● Anonymized sensitive data for business use. Data came from various sources formats such as smaller pdf, word and jpeg till large csv, and json files.

SGR | Feb 2021 - Apr 2021

Data Scientist

: SGR held the €400 mln. crisis fund to help the Dutch travel sector survive the COVID-19 crisis. : Played a key role in the design and implementation of a fund approval system, helping travel businesses to survive the COVID-19 epidemic given the worldwide travel restrictions. ● Designed the data approval process, from acquiring data from fund- requesting businesses till making it available in dashboards, featuring several mathematical models to estimate whether businesses would survive COVID-19, given they would receive funding. ● Predicted whether businesses would go bankrupt or be troubled after funding using statistics and support from financial experts, presented findings as alerts in a dashboard to staff. Alerts activated users to reach out, asking businesses to check and update their data. Troubled businesses were offered financial consultation with financial experts to assist in finding other financial solutions. ● Responsible for data reporting to the Dutch government and the EU, and helped assess the vitality of travel companies before, during, and after the crisis.

Writing about Data Science | Oct 2020 - Feb 2021

Data Scientist

: Sharing my knowledge on how to conduct data science from a business perspective. Aiming to share my love for the field and hoping to enable others. ● Find my latest articles published at: https://towardsdatascience.com/ @warner.d.jong ● Personal data projects on GitHub: https://github.com/Warnalytics/

B2C Europe | Oct 2019 - Aug 2020

Data Analyst | Data Scientist

: B2C Europe provides third-party delivery services to E-commerce companies worldwide. : Supported the IT organization by analysing and improving service-related IT processes. ● Analyzed the delivery quality of 10.000+ delivery options. Derived high- performing suppliers to provide alternatives to higher value demanding customers. ● Improved the parcel sorting machine using statistics. Conducted root-cause data analysis using logging data to determine whether downtime in the sorting machines at the conveyor belt was increasing, and determined that the causes were related to poor latency during high volumes and wrongful labelling. ● Designed the IT Helpdesk ticket prioritization model. Derived key topics and related subjects from data analysis on 2 years of emails and requests. Built a webform to capture and prioritize questions into tickets. Serviced personnel in 6 countries with improved response/resolved times.

B2C Europe | Dec 2018 - Nov 2019

Data Analyst

: Analytical support to the CCO and global sales organization, provided reports and tooling to the organization. ● Designed and implemented a sales pricing model tool. Evaluating delivery solutions worldwide across many combinations of carriers, their products and destinations. The tool would estimate cost and revenue given the company's supplier-contracts and calculate the optimal cost-effective service to provide given the requirements of each customer segment. ● Designed a customer performance dashboard. Conducted data analysis on sales flows. Visualized current and estimated flows. Provided insights at a global level. Predicted potential revenue and cost on sales prospects given historical purchases made by customers.

hivetime | Feb 2018 - Aug 2018

Online Marketer

: Hivetime is a management consultancy specialized in leadership and high- performance teams. : At Hivetime, I met various experts and leaders through workshops and events to develop the online marketing of the company. ● Initiated online marketing. Built company website, designed the customer journey, created content. Developed LinkedIn-related content marketing guidebook. ● Led a great team of 3 on researching teamwork and collaboration, creating content for marketing and workshops. Lots of lessons learned in communication, openness, safety and collaboration. ● Interviewed MNC leaders at senior and C-level on collaboration, content was used to improve outreach on LinkedIn. Unique about Hivetime is its human-quality in leadership, alignment, design thinking and people practices.

GoBear | Jun 2017 - Sep 2017

Data Analyst

: Fintech supermarket in banking and insurance products with 29 million customers since 2014. : Conducted market research on banking and insurance products in 6 South-East Asian markets, provided insights on customer decision-making processes. ● Developed an algorithmic market assessment and forecasting tool based on 82 parameters, distributed to all 6 GoBear countries. Results assisted the decision to the succesful expansion in Vietnam. ● Designed an SEO strategy with competition overview and keyword valuation per demographic.

ESN Groningen | Jun 2016 - Jun 2017

Event Organizer

: ESN is a non-profit international student organisation with 13,500+ members in 40+ countries. : ESN Groningen holds over 150 events annually, I helped organize the career-related events. ● Organized the Career Conference on career development and cross-cultural integration. ● Planned the budget and expenditure for the career arm of ESN Groningen. ● Facilitated company visits for aspiring international students.

My Education

Take a look at my formal education

Master's Degree, Chinese Economy / World Economics复旦大学 | 2018
Master's Degree, International Economics and BusinessRijksuniversiteit Groningen | 2017
Business administration, Psychology전남대학교 | 2016
Bachelor’s Degree, International BusinessUniversity of Groningen | 2016

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