Data trainer

John Lewis & Partners

Data Engineer

Quantik Studio

Teacher

ABN AMRO Bank N.V.

Senior Data Engineer

EPAM Systems

With EPAM, I'm working on a contract at Liberty Global (a former employer of mine). The main project is to use machine learning techniques to detect outages in LG's network and find the root cause as quickly as possible.

Senior Data Scientist

LaSalle Investment Management

At JLL, I worked in a team of 5 Looker developers to build models and dashboards. I worked in close contact with the Product team to gather and refine the requirements and further refine them. I was also involved in data warehousing discussions as these had a direct impact on our BI workflow.

Looker consultant

Randstad

At Randstad, I worked on a project to create a Recommender Engine for recruiters to find the suitable candidate. In this project, because of the size of the project, I used PySpark extensively for data cleaning, feature engineering and machine learning model training.  I also used NLP techniques such as TF-IDF and Transformers based embeddings to extract and mathematically encode information that is in the candidates’ CVs. 
Technologies: Python, Tensorflow, Pytorch,  SageMaker, PySpark, Airflow, XGBoost, Learning To Rank algorithms, S3, Jira, Apache Tika, Transformers (BERT). AWS.

Freelance Data Scientist

SilkTech Biopharmaceuticals

I worked on a short, 5-day assignment for SilkTech using their clinical trial data. The main goal was to see if we could use machine learning to predict outcomes of future clinical trials.

Tripaneer

Since Nov 2019, I am the only "data guy" at Tripaneer. My current projects focus a lot on supporting the Marketing team and Product teams on subjects such as:
  - Customer journey mapping
  - Soft conversions definition
  - Data driven marketing attribution (Shapley Value, Markov Chains)

The team at Tripaneer consisted of me and my manager. This made our work very diverse as we supported all departments with their data needs. Main achievements during this period included:
  - Develop a solid ETL process to support analytics needs
  - Successfully implemented a recommender engine leading to +10% in conversions 
  - Improved the ranking leading to +56% in revenue in some cases
  - Thorough analysis of our SEO performance
  - Developed dashboards in Looker that are used daily by Category Managers, Product and Marketing to steer their projects
  - Train business users on our BI platform and on how to use SQL.
  - Helped apply stratified sampling to our internal A/B testing tool

Data Analyst

Main projects included:
  - Develop an approach to use Stratified Sampling for some A/B tests we wanted to run
  - Help build the pipeline for data ETL
  - Develop an LSTM-based forecasting tool used to understand how many shipments were lost in the case of an operational outage
  - Apply graph analytics to detect accounts that belong to the same companies

Data Scientist

Throughout my career, I have grown to become a well rounded "data guy" able to work on all stages on all projects from data modelling to data engineering, to reporting and data science. At Tripaneer I contribute to multiple high impact projects across all departments. Such projects include working on the very first recommender engine, data driven marketing attribution and defining an approach for supply management. I also trained our business users on our BI tool (Looker) allowing me to focus on more complex and challenging tasks.

Tools used include: Redshift, MySQL, Python (& usual DS libraries such as Pandas and NumPy), Jupyter and (obviously) Git.

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