Rania Fleifel

Background

About Rania Fleifel

A data analyst at Egypt Impact Lab, JPAL's embedded lab in collaboration with MPED. Tasks- Managing admin and survey datasets (data cleaning, wrangling, feature extraction and feature engineering) to maximize the data's added-value - Generating insightful statistical analysis backed with dashboards to give way to evidence-based policy making Successful completion of data science internship at Data glacier. In a constant state of learning in my career path. As a testament to that, I studied and completed 1) Data-Analysis professional track (egfwd) 2) AI-programing with python Nano-degree, 3) Data-Analysis challenger track (egfwd) 4) Bertelsmann scholarship "Intro to ML challenge course". I am currently working on "AWS machine learning engineer nano-degree". English proficiency placement -according to duo-lingo test- is equivalent to 8 in IELTS. I have demonstrated experience in working as a researcher during my work at Zewail city for 3 years. My work focused on applying artificial neural networks on wireless communication legacy problems. I published a paper entitled "LTE Primary User Modeling Using a Hybrid ARIMA/NARX Neural Network Model in CR" in and presented my work as a first author in the conference in US. I am No longer pursuing my masters degree from CUFE, after Finishing all pre MSc requirements with 3.4 GPA.