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moad slimanMS
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moad sliman

@moadsliman

Data Engineer at Leyton, developing data pipelines and CRM systems that power a B2B search engine with €3M+ in ROI.

Morocco
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At Leyton, I developed a REST API that automates data ingestion into Elasticsearch for a B2B search engine that generated over €3M in total ROI. I also designed recurring pipelines to synchronise data with Salesforce and implemented real-time detection of newly created CRM accounts.

At OnePipe, I led a web-crawling platform that indexed over 580M domains, with a multilingual company classifier and LLM enrichment for around 800,000 websites. I also designed entity resolution across 23.8M websites, finding 3.9M duplicates with 91% verified precision in production.

For my final-year project at Leyton, I enhanced a B2B search engine by improving relevance and enriching its Elasticsearch index. I also set up data ingestion and cleaning pipelines and built Kibana dashboards to analyse user behaviour.

Experience

Work history, roles, and key accomplishments

ST

Data Science Intern

Smart Automation Technologies

Jul 2021 - Sep 2021 (2 months)

Designed a spatio-temporal logistics search engine for transport-flow optimization. Developed a time-series prediction model using LSTM neural networks and built Kibana dashboards for logistics KPIs.

Education

Degrees, certifications, and relevant coursework

IT

INPT (National Institute of Posts & Telecommunications)

State Engineering Degree, Data Engineering

2019 - 2022

State Engineering Degree in Data Engineering from INPT (National Institute of Posts & Telecommunications) from 2019 to 2022.

CF

Centre Salman El Farissi

CPGE – Option MP, Mathematics & Physics

2017 - 2019

CPGE – Option MP in Mathematics & Physics from Centre Salman El Farissi from 2017 to 2019.

LB

Lycée Abderrahim Bouaibid

Baccalaureate, Mathematical Sciences

2017 - 2017

Grade: With Highest Honours

Baccalaureate in Mathematical Sciences with Highest Honours from Lycée Abderrahim Bouaibid in 2017.

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