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Adam Alloul

Freelance data scientist/engineer

Moves to Amsterdam

  • 52.3728
  • 4.8936
Propose a project The project will only begin when you accept Adam's quote.
Propose a project The project will only begin when you accept Adam's quote.

Location and geographical scope

Amsterdam, The Netherlands
Can work in your office at
  • Amsterdam and 50km around


Project length
Would prefer:
  • Between 3-6 months
  • ≥ 6 months
Would prefer avoiding:
  • ≤ 1 week
  • ≤ 1 month




Skills (12)

Adam in a few words

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.


LaSalle Investment Management

Real Estate

Looker consultant

September 2021 - Today (1 month)

Looker models and dashboards development for LaSalle business users to track the KPIs around their investments.

Randstad - Randstad

Human Resources

Data Scientist

Amsterdam, The Netherlands

August 2020 - July 2021 (11 months)

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.


Travel & Tourism

Senior data scientist

Amsterdam, The Netherlands

March 2018 - July 2020 (2 years and 4 months)

At Tripaneer, a theme travel company, I worked as an all-round data guy where I was responsible for setting up and tuning the whole data platform and providing data products to help steer the company. I also applied machine learning techniques such as Random Forests to predict customer propensity to book a trip and a recommendation engine.
Key achievements:
Built and maintained the whole data platform with ETL, Redshift and Looker. The processes were all still running smoothly 1 year after I left.
Improved conversion rate by +10% by implementing a recommendation engine
Improved the ranking algorithm by segmenting users leading to +56% in revenue
Developed multiple dashboards that were used on a daily basis by business stakeholders
Coached our business users on how to use the data platform
Technologies: Python, Redshift, MariaDB, SQL, Sklearn, Implicit feedback recommendations, Cron, Markov Chains, Looker & Tableau, S3. AWS.


Logistics & Supply Chain

Data scientist

Hoofddorp, The Netherlands

September 2017 - February 2018 (5 months)

External recommendations

Check out Adam's recommendations