Allaoui - Data Analyst PYTHON

EXPERIENCE :
TWO-RIDE – Munich, Germany
BI Analyst and Data Engineer Freelancer November 2020 – Present
• Develop code and scripts to collect and integrate data from a web service.
• Use Postgres to create databases that collect data.
• Design and development of an ETL process.
• Create dashboards and carry out analyzes in order to increase the number of matches between passengers
and carpool drivers.
• Work closely with the manager to develop a plan for the automation of analytical processes.
Keywords: Automated Solution, Cloud, Microsoft Azure, Data Factory, Blob Storage, SQL, Python, Excel,
Postgres, ETL, Talend, Data Lake, Data Warehouse, Power BI

CARTFIT – Paris, France
Data Scientist and Analyst Intern March 2020 – September 2020
• Cleaned and prepared the historical data of vehicle repairs collected by Norauto.
• Explored the data by using data visualization and dashboards.
• Analysed the historical data and created a predictive maintenance model.
• Extracted the relationships between maintenance services using association rules and analysis results.
• Optimized the car maintenance costs.
• Adjusted the maintenance schedule based on the use of vehicles (profile of driving, driving conditions, Carfit
Index…).
• Created and managed campaigns to send notifications and inform Carfit customers of the next maintenance
services.
Keywords: Predictive Automotive Maintenance, Python, Amazon SNS, Kdb +, Q, QSql, Data Cleaning, Feature
engineering, Power Bi, Dashboard, Machine learning, Apriori, Scrum, Git, Jira, Kx platform...

Geeks Data – Tunis, Tunisia
Data Scientist and Analyst Intern June 2019 – August 2019
• Facebook Scraping.
• Data storage in MongoDB.
• Multilingual sentiment Analysis (NLP).
• Facial recognition and detection of emotions, age and gender from images and videos.
• Detection of illicit objects from images and videos.
Keywords: Natural language processing, Selenium, Computer Vision, Keras, TensorFlow, Artificial neural
networks

MITAKUS – Munich, Germany
Data Scientist Intern February 2019 – June 2019
• Development of a predictive system for canteens, based on time series modeling (optimal menu and income
prediction) to reduce food losses and maximize profits.
Keywords: Jupyter Notebook, Time Series, Pandas, Numpy, Matplotlib, Scipy, Scikit learn…

PROJECTS
Sentiment analysis: RENAULT during the arrest of its CEO
• Extracting data from Twitter.
• Sentiment Analysis.
• Stock price prediction of the company.
• Find a correlation between the results of sentiment analysis and the change of stock price.
Caravan insurance target marketing: The Canadian insurance ASSUREXPERTS INC
• Costumer Profiling.
• Costumer Receptivity Scoring.
• Target Marketing Predictive analysis of car accidents in France.
• Data visualization and Dashboard creation.
• Creation of predictive models: number of accidents and their gravities.
BUSINESS INTELLIGENCE: Solution for pharmacies
• Data collection and exploration.
• Creation of DATA warehouse.
• ETL processing and OLAP cubes creation.
Analysis of TUNISAIR Fleet
• Collecting Data.
• Segmentation of TUNISAIR planes using unsupervised learning.
• Identifying the necessary improvements after comparing results with other fleets.

Développement d'une application de gestion d'école privée (windev).
 Développement d'une application de facturation Conception et développement (windev)
 Depuis 2019 technicien informatique :
Installation des camera
Maintenance des matériels informatique
Suivi des clients