Ahmadi I.

Data Scientist

660 dollar

Mon expérience

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Axa, GIE REVOctober 2018 - Présent

• Contribute to the research in advanced Machine Learning conducted
in the RD team.
• Define risk models in order to score trips that represent potential
crashes and pricing model for insurance contracts.
• Python, Spark, R, Kibana, AWS, ML library, TensorFlow, Keras, Pytorch
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GoogleMarch 2019 - March 2019

• Advanced deep machine learning 
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Axa, GIEApril 2018 - April 2018

Developing a machine learning interpretability library to enhance the
understanding of the behaviour of used ML algorithms. It is main
target is to generate explanations out of a black box algorithm. The lib
is developed on Scikit learn standards. It will be soon open source
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ProjectNovember 2017 - November 2017

Problem modeling, machine learning,NLP,

The goal is to develop prediction models
able to identify which news is fake.The data
we will manipulate is from
http://www.politifact.com. The input
contains of short statements of public
figures plus some metadata. The output is a
truth level, judged by journalists at Politifact. 

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ProjectNovember 2017 - November 2017

Forward-Backward algorithm, Viterbi

The main idea in this model is to incorporate
the sequential and hierarchical information
of the barcodes into a single dynamic
Bayesian network – a hierarchical Hidden
Markov Model. 

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ProjectMarch 2017 - March 2017

Python, Deep Learning, Machine Learning,

Implementing Light GBM model to achieve
classification of car engine’s sounds that
aims at finding whether an engine is failing or

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ProjectMarch 2017 - March 2017

Kaggle,Data augmentation, Machine
Learning, PCA

Analyzing the JPG images of galaxies to find
automated metrics that reproduce the
probability distributions derived from
human classifications. For each galaxy, I have
to determine the probability that it belongs
in a particular class.

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ProjectFebruary 2017 - February 2017

Set up a credit scoring model from scratch
based on users transaction details. 
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Huawei Technologies Co. LtdAugust 2016 - August 2016

• Huawei Training on ICT Technologies & Solutions.
• First-hand work experience at Huawei’s Shenzen headquarter on the
Cloud Data Center.

Mes compétences

Big Data

Big Data


Python Programming, Black-Box Testing, PCA, ICT


Risk Analysis, Kibana, Data Science, Corporate Finance

Machine Learning

Scikit-Learn, Deep learning




Machine Learning, AWS, Amazon Web Services (AWS)

Mes études et formations

Télécom ParisTech - ENGINEERING DEGREE IN Data SCIENCE2015 - 2018

M2 in DATA SCIENCE, APPLIED MATHEMATICS - Ecole Polytechnique X2017 - 2018