Highly organized and meticulous Computer Science student with experience in machine learning algorithms. Adept at processing and analyzing big sets of data and delivering insights. Good communicator and constant learner with strong analytical and critical thinking abilities.
Data Analyst - Python - NLP - Sentiment Analysis
Personal Project
March 2019
- Scraped Historical Twitter Data using Tweepy
- Data processing: Cleaned data using Regular Expressions and NLTK
- Exploratory Data Analysis using Time Series and Plots
- Sentiment Analysis using TextBlob
Data scientist - Python /Recommender Systems / Spark
Personal Project
February 2019
- Memory Based Collaborative Filtering: Python, Hive, PySpark
Data scientist - Python / Time Series Forecasting
Personal Project
Since February 2019
- Additive Modeling
- Facebook's forecasting package: Prophet
- Python's Stocker package
Data scientist - Python / Classification / Prediction
Personal Project
January 2019
to February 2019
- Working on a Kaggle dataset to predict if a loan application would be accepted
- Treating missing values, OneHotEncoder, Label Encoder
- Obtained a precision score of 83% and an f1-score of 77% with Logistic regression
Enterprise Resource Planning - Business Intelligence
Mathematics - Physics
The Preparatory Institute for Engineering Studies of Bizerte - IPEIB
September 2009
to August 2012
Passed a two-year intensive program preparing for the national competitive exam for entry to engineering schools.
- Structured / Unstructured Data
- Python (Numpy, Pandas)
- SQl, SQLite
- ETL: SSIS, Alteryx, Talend
- Matplotlib, Seaborn, Plotly
- Tableau
- Power BI, SSRS
- Supervised, unsupervised ML
- NLP (NLTK, Spacy)
- Recommender Systems
- HDFS
- PySpark
- Hive
- Pig
- ASW EC2
- Java, Java EE, .NET, C#, Symfony3
- MySQL, noSQL, PostgreSQL, PL/SQL, Oracle
- Linux, Unix, SSH, CLS, GitHub
- English: Fluent
- French: Fluent
- Arabic: Native
