Sana Elwaar

AI Product manager (Former Data Scientist)

Salary / Daily rate

Paris, France

Freelance

Can come onsite

Skills

Data ScienceMachine LearningStrategy & ConsultingPythonData MiningBig DataSQL QueriesData AnalysisCRMConsulting CybersecurityPower BIKnowledge ManagementAzureProduct StrategyMySQLMicrosoft SQL ServerProduct OwnershipConsulting ITConfluenceJiraNo-code ApplicationsNotionCoaching

Languages

French (Native)Arabic (Native)English (Fluent)

About me

Intro

Je suis Consultante Data Strategy, Intelligence Artificielle et Data Science, je suis passionné par l'exploration des données et la création de solutions intelligentes pour résoudre des problèmes complexes. Je suis déterminée à collaborer avec vous pour transformer vos défis en opportunités.

Links

Work experience

AI Technical Product Owner (RAG-As-A-Service Platform)

ConfidentialFreelance

Apr 2024 - Feb 2025

11 months

Paris, France

Led the strategy and development of a no-code chatbot orchestration platform from POC to production (Product market fit for one platform serving 100+ use cases for a French Banking Group) • AI (and GenAI) specific risks handling and mitigation (moderation of both input user question and LLM output, non-regression tests, hallucination tracking, correctness measuring and red-teamming). • Design and delivery of the GenAI evaluation platform (validation data life cycle management, testing acceleration and alerting automation) • Worked closely with data scientists, designers, use case product owners and users in order to develop user-friendly features without giving up the AI performance. Discovery, training and validation of the AI components of the first Use Case of the platform (NLP, search engine and retrieval, NLG and moderation, NLU and intention detection) • Reduction of the time to market to under 3 weeks (divided by 4). • Launch of a B2C chatbot for client assistance for 5 million users

Consultant - Data scientist

eleven strategy

Sep 2022 - Sep 2023

1 year 1 month

Paris, France

- AI program mentor: co-defined, developed and deployed an AI assistant for telecom dispatching and a cost-effective computer vision system for worksite safety. Mentored internal resources towards data science proficiency. - Technical due diligence: technical assessment and investigation in order to give key elements for the strategic decision-making. - Implemented machine learning algorithms for contamination pattern identification and threat prediction in cybersecurity logs. Promoted data-driven approaches and agile methodologies (Shape up) within the team. - Contributed to the internal structuring efforts: responsible of the communication on the web site, guidelines, content strategy definition with stakeholders, content creation pipeline initiation and follow up, edition etc.

Dassault Systèmes

Jan 2018 - Aug 2022

4 years 8 months

78140 Vélizy-Villacoublay, France

Product Owner Data - License Compliance Organisation

Oct 2021 - Aug 2022

11 months

78140 Vélizy-Villacoublay, France

Use cases • Designed data architecture and built data pipeline in order to leverage the value in the data and meet the objectives (optimization of the ROI). • Built POCs for non compliance detection based on classifier aiming to assist investigator prioritizing (53% F1-measure). • Contributed to the change management: compromising direct clients expectations, technical constraints and data providers expectations in order to adopt a data driven approach. • Managed a research project in order to build a graph based pipeline of anomaly detection using self supervised learning and graph embedding. Technologies & Methods: • Algorithms: classification, clustering, anomaly detection in graph • Implementation: Python, NIFI, HDFS

Data Scientist - Customer Success Organisation

Jan 2018 - Oct 2021

3 years 10 months

78140 Vélizy-Villacoublay, France

Worked on extracting useful information form text and other unstructured or semi-structured data to assist the Customer Success teams: • text labeling, text similarity • parsing customer claims to detect the issue, the real product and to dispatch it. • client churn prediction • product recommendation • opinion mining to detect and predict customer satisfaction Using: Machine Learning deep/shallow, Algorithms: classification, clustering, topic modeling, structured output prediction Techniques: Python, regular expressions, MySQL, Exalead cloud View, Data engineering tools: Cloudera big data cluster.

Consultant/Data Scientist

Ekimetrics

May 2017 - Oct 2017

6 months

Hong Kong

Full immersion in the international environment, Focus on data science for CRM (Customer Relationship Management) • Support of our client in the transformation of his CRM strategy: analysis of the business evolution and the value of the customers in Japan, Customer Segmentation and strategic recommendations adapted to the cultural specificities and the strategic objectives. (Regression trees, market basket analysis, products recommendation) • Development of a tool to automate basic CRM analysis, 4 times faster, easily reusable thanks to the code in modules. (VBA, R, Data visualization in Excel) • Development of an NLP tool to valorise customer related data in the Chinese social media platforms: data Webscrapping, preprocessing, topic detection and opinion-mining of Mandarin comments. The tool will then mainly perform a Data Vectorization using Word2vec Embedding and then a sentiment classification (gradient boosting model). The sentiment classification accuracy exceeded the 90% in the cross validation test (based on 2000 comments). • Results sharing during knowledge management sessions, code tutorials delivering for further uses of the 2 R&D tools developed during this internship.

Seminar Project: "Determination and analysis of a brand reputation on the internet"​

EY

Oct 2016 - Mar 2017

6 months

Région de Paris, France

Collection of clients' comments and analysis of the opinions in order to determine the reputation of a given brand. • Webscaping • Textmining- opinionmining (in french) • Data Visualization

Data Scientist: "Client Performance Review"​

BNP Paribas Corporate and Institutional Banking

Apr 2016 - Sep 2016

6 months

Région de Paris, France

Operations of Extract, Transform, Load and Visualization • Treated variety of data inputs, applied unsupervised data mining algorithms to cluster the clients of CIB BNP Paribas and quantify their performances. • Produced steering dashboards for the top management, and automate data quality reports creation.

Innovation Engineer: "Design of the Cabin of the future civil airplane"​

Safran

Feb 2015 - Jul 2015

6 months

Région de São Paulo, Brésil

Internship with Safran, an international high-technology leader in aerospace, defense and security. • Innovative international project aiming to design the cabin of the aircraft of the future. • Market and Feasibility studies, • Preliminary 3D Computer Aided Designs and product compatibility studies of the new innovative products. The value proposition was to supply power and data in the passengers' cabin in a reconfigurable way. • Internship held in the laboratories of the "Escola Politecnica da Universidade de São Paulo" (Poli-USP).

Operator training - telephony net maintenance

Tunisie Télécom

Jul 2014 - Aug 2014

2 months

Tunisie

Internship with Tunisie Télécom, is the incumbent telecom operator in Tunisia. - Worked in a team of 7 technicians in a local telephony distributer. - Maintained the telecommunication hardware in the cell according to the instructions of the interactive dialogue interface.


Education

Udacity

Deep Learning Nanodegree

2021 - 2021

9 months

Understand how Neural networks work, and implement them using the deep learning framework PyTorch. Build convolutional networks for image recognition, recurrent networks for sequence generation, generative adversarial networks for image generation, and learn how to deploy models accessible from a website.

CentraleSupélec

Master of Engineering (MEng), Data Science major with a minor in project management.

2013 - 2018

5 years

One of France's top master's level engineering & management Grandes Ecoles. The School is a member of the Conference of Grandes Écoles and Central Group. It is the creator of the TIME (Top Industrial Managers for Europe) network. Key subjects: Applied Mathematics, Algorithmic, Computer Sciences, Deep learning, Machine learning, Project management, Finance.

Université Paris Dauphine - PSL

Master M2, MIAGE, Computer sciences: Financial Computing and BI

2015 - 2017

2 years

One of the best ranked masters in BI according to the SMBG ranking. Key subjects: Software Engineering, data warehouse, market finance, optimization in Finance, management & Banking.

Paris-Sud University (Paris XI)

Bachelor degree on Fundamental Physics - double degree with Ecole Centrale Paris-

2013 - 2015

2 years

A discovery of the world of theoretical physics and scientific research. A personal adventure. Key subjects: statistical physics, analytical mechanics, quantum physics, astrophysics.

CPGE Ipest- Tunis (Tunisia)

Preparatory Classes to the French Leading Engineering Schools, Intensive mathematics, physics and engineering sciences

2011 - 2014

3 years

Intensive mathematics, physics and engineering science preparation for the highly competitive entrance exams to the French Engineering Grandes Ecoles.


Licenses & certifications

Deep Learning Nanodegree

Issued: Nov 2021

Certified by Udacity

AWS Machine Learning Foundations

Issued: Nov 2021

Certified by Udacity

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