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Data scientist junior

Location:
Casablanca, Casablanca-Settat, Morocco
Posted:
September 15, 2020

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Resume:

Ayoub Ajarra

+212-***-***-*** • Casablanca, Morocco • Email: *****.******@********-**********.**

• linkedin.com/in/ayoub-ajarra-589351108

“Thinking outside the box.”

EDUCATION

ECOLE CENTRALE CASABLANCA (ECC) Casablanca, MA

Master of Computer Science specialization in AI Reseach Sept 2017 - Nov 2021 Coursework: Computer Vision, Advanced stastistical learning, Machine Learning, Deep learning, Reinforcement Learning HSE UNIVERSITY Moscow, Russia

Summer School on Machine Learning in Bioinformatics 24 Aug 2020 - 28 Aug 2020 CLASSES PRÉPARATOIRES IBN TAYMIYA Marrakech, Rorocco Advanced mathematics and physics (MPSI-MP*) Sept 2015 - Aug 2017 EXPERIENCE

ECC LAB Casablanca, MA

Research Intern Feb 2020 - Aug 2020

• The task was to forecast the spread of COVID-19 around the world and regions of Morocco for a week ahead .

• Won the competition for the best research article in my school.

• Tools: ARIMA, Adaboost, Xgboost, Catboost, Keras, Pytorch VALWIN Nantes, FR

Data Scientist Aug 2019 - Feb 2020

• Worked with Aurélien Meunier on database construction/consolidation :Scrapping new data of large dimension (20k products with their description, images,etc..) by using Scrappy that were later moved to the catalogue of products in Algolia.

• Implemented and designed three algorithms for products categorization, which combine both of NLP (products descriptions) and CNN architectures (VGG,Resnet,MobileNet)

• Implemented a model for customers targeting by analyzing their profile and target the regions in France where we’re more likely to get new clients.

• Implemented a product recommendation system based on the customer’s purchase history.

• Tools: Tensorflow, SGD, Collaborative filtering, NLP, Ensembling,PostgresSql, Transfer learning, Opencv TECHTREND SOLUTIONS Casablanca, Morocco

Data scientist Ap 2019 - Aug 2019

• Analysed data from traffic cam footage of the city.

• Implemented a model to predict future traffic flow with high-resolution forecasts.

• Discovered rules by analyzing patterns and created new perspectives and a better understanding. ECC LABS Casablanca, Morocco

Research intern Sept 2018 - Jan 2019

• Implemented a simulation-based optimization algorithm to optimize traffic flow by adjusting traffic control devices

• combined approaches based on meta-models, queueing models and Anylogic traffic simulations.

• Won the 1st prize in final evaluation.

RAADEMA Marrakech, Morocco

Data scientist Intern Jun 2018 - Sept 2018

• Searched and collected meter datasets.

• Implemented a model for detection and recognition of the dial of a meter by using various CNN architectures.

• Implemented a simple algorithm to decode errors that were sent by meters to reveal hidden informations.

• Tools: OpenCv, YOLOv3, Fast-YOLOv3, ResNet-50, ResNet-101 PROJECTS

• Analyzing global terrorism Network using Graph theory

• Crime prediction and analysis inspired by Predpol

• The NYC taxi problem: Find the optimal parking lots locations

• The NYC taxi problem: Estimate ride duration based on the pick-up and drop off location TECHNICAL STRENGHS

• Programming Languages: Python, R, C++, SQL

• Algorithms: Machine learning, Deep learning, Reinforcement learning

• Pattern recognition: Computer vision, Natural language processing

• Technologies: Pytoch, Tensorflow, Keras, Theano, Caffe

• Big data: Kuberflow, Hive, Spark, Mapreduce, Kafka, AWS HONORS AND AWARDS

• Finalist ranked among 150 best Data Scientists for Y-Data program 2020 2020

• Finalist Best deep learning project 2019

• Finalist Ranked 1st in mathematics olympiad 2013

• Finalist Ranked 2nd in physics olympiad 2013



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