À propos de Benaïssa
Passionate about Data Analysis, I have demonstrated over 6 years of experience in Data Science & Analytics consulting.
I use advanced Data Analytics to deploy sustainable solutions for extracting maximum value out of my clients' data.
To do so, I combine a business oriented view with advanced technical skills.
During my missions, I carry out all the Data Analytics process: data collection and processing , analysis and visualisation.
Currently looking for the next challenge to bring my Data Analytics and business expertises, I am highly interested in data-driven companies that handle large and complex datasets to enhance their business or in companies that would like to leverage their data to do so.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- PwC AdvisorySenior Data Science & Analytics consultantCONSEIL & AUDITseptembre 2018 - Aujourd'hui (7 ans et 9 mois)Paris, FranceData Science & Analytics, Data visualization, segmentation, sementic analysis, predictive analysis, trainings providing, project team management :- Analyzing the user-connection to a web plateform to construct profiling and maximize the client's revenue- Creating a predictive analysis tool to forecast the performance of advertising campaigns before their launch and boost audience, insight and revenue- Cross-analyzing CRM and open-source data to construct clustering in order to detect outliers and prevent fraud for several clients- Delivering data trainings on Tableau and Alteryx to different departments withinPwC (Financial Audit, Capital Markets and Accounting)
- EY CONSULTINGSenior Data Science & Analytics within FIDS (Fraud, Investigation) departmentCONSEIL & AUDITavril 2016 - août 2018 (2 ans et 4 mois)Data Science & Analytics, Data visualization, segmentation, predictive analysis :- Cross-analyzing CRM (Salesforce) and french open-source database "Transparence - santé" to benchmark the initiatives and activity for a pharmaceutical company compared to its main competitors- Analyzing european open-source data to construct HCPs clustering to detect outliers and prevent fraud for several pharmaceutical clients- Detecting fraudulent employment offers posted on the French national employment agency plateform using NLP (Natural Language Processing) methods- Creating a survey for the EFPIA (European Federation of Pharmaceutical Industries and Associations) and analyzing the data output to estimate the level of pharmaceutical companies transparency with regards to their investments
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Formations
- Double degree Paris Dauphine University: MSc Artificial intelligence, System, Data (IASD) - EISTI: Engineer degree - major in Data ScienceParis Dauphine / EISTI2016