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Welkom op het Malt-profiel van Adam!

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Adam Alloul

Freelance data scientist/engineer

Kan reizen naar Amsterdam

  • 52.3728
  • 4.8936
  • Indicatief tarief €720 / Dag
  • Werkervaring 2-7 jaar
Een opdracht voorstellen De opdracht kan alleen van start gaan nadat je de offerte van Adam hebt geaccepteerd.
Een opdracht voorstellen De opdracht kan alleen van start gaan nadat je de offerte van Adam hebt geaccepteerd.

Locatie en reizen

Locatie
Amsterdam, The Netherlands
Kan bij je op kantoor werken in
  • Amsterdam en 50 km rondom

Voorkeuren

Tijdsduur van de opdracht
Liever:
  • tussen 3 en 6 maanden
  • ≥ 6 maanden
Vermijd:
  • ≤ 1 week
  • ≤ 1 maand

Checklist

Talen

  • French

    Tweetalig / moedertaal

  • English

    Volledige professionele capaciteit

Categorieën

Vaardigheden  (12)

Adam in het kort

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.

Werkervaring

LaSalle Investment Management

Vastgoed

Looker consultant  - Als freelancer

september 2021 - Vandaag (2 maanden)

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

Randstad - Randstad

HR / personeelsbeleid

Data Scientist  - Als freelancer

Amsterdam, The Netherlands

augustus 2020 - juli 2021 (11 maanden)

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.

Tripaneer

Reizen & toerisme

Senior data scientist

Amsterdam, The Netherlands

maart 2018 - juli 2020 (2 jaren en 4 maanden)

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.

TNT

Logistiek & Supply Chain

Data scientist

Hoofddorp, The Netherlands

september 2017 - februari 2018 (5 maanden)

As a data scientist at TNT I got involved within multiple projects spreading over using stratified sampling for AB testing to ETL development to lost opportunity prediction using time series. I also applied graph analysis to group customer accounts together
Technologies: Python, S3, Airflow, Sklearn, Keras, LSTM, BigQuery, PostgreSQL. AWS.

Liberty Global

Telecommunicatie

Senior Engineer

Hoofddorp, The Netherlands

januari 2017 - augustus 2017 (7 maanden)

In this role, I acted as a Product Owner and lead developer supervising the work of 3 developers, a data scientist and a graduate student Achievements:
Created a capacity model for the CDN across Liberty Global's footprint
Designed and implemented a performance prediction tool based on Clustering and trend analysis
Developed a versatile and easily extendible API to support our visualisation tool
Prioritised and organised the team work in accordance to business needs
Carried Impact Assessments on CDN prior to product launches and upgrades
Technologies: Python, Flask, Pandas, R, Elasticsearch, Jira, Confluence, Github, R Shiny, Kafka.

Liberty Global

Telecommunicatie

Technical data analyst

Hoofddorp, The Netherlands

maart 2015 - december 2016 (1 jaar en 9 maanden)

In this role, I worked on multiple tasks spanning data engineering and analysis:
I setup and maintained a 7 node Elasticsearch cluster
I helped with debugging issues on a Cloudera Big Data platform
I setup and maintained a 3-node Apache Flume setup
Created multiple dashboards on Kibana and data analyses using R and Python. These were used to inform product development and prioritisation of next features
Technologies: R, Shiny, Hive, Elasticsearch, Python, Apache Flume, Hadoop, Elasticsearch, Excel

Opleidingen