Maha Amami, PhD

Maha Amami, PhD, is a Data Scientist currently working at Data Impact by NielsenIQ. Maha joined the company in November 2022. Prior to that, they were a Technical Writer at Towards Data Science starting from May 2020. From November 2020 to October 2022, Maha worked as a Data Scientist and NLP Expert at MyScienceWork.

Before their industry roles, Maha held academic positions at Università degli Studi di Milano-Bicocca. Maha was a Postdoctoral Fellow from November 2018 to October 2020, and briefly served as a Lecturer in April 2020.

Maha's previous experience includes working as a Web Developer at PEBEO from June 2016 to October 2018, and as a Data Scientist at IntilaQ Tunisia from May 2018 to September 2018. Maha was also a Lecturer at Institut Supérieur de Gestion de Tunis from September 2015 to January 2017, and again from January 2013 to June 2013.

Maha began their career as a Doctoral Researcher at Open Vision in March 2013. Maha was also a Lecturer at Institut Supérieur de Gestion de Tunis from January 2013 to June 2013. Maha'searly experience includes a student internship at Centre Informatique du Ministère de la Santé Tunisie from January 2009 to June 2009.

Maha Amami, PhD, has an extensive education history in computer sciences. Maha holds a Doctor of Philosophy (PhD) in computer sciences from the Università degli Studi di Milano-Bicocca, which they earned from 2014 to 2018. Prior to their PhD, they completed their Master's degree in computer sciences from the Institut Supérieur de Gestion de Tunis from 2009 to 2011. Furthermore, they obtained their Bachelor's degree in computer sciences from the same institution from 2005 to 2009.

In addition to their formal education, Maha Amami has also pursued various certifications to enhance their skills. Maha has obtained certifications in topics such as Natural Language Processing with Probabilistic Models from DeepLearning.AI, Python: XML, JSON, and the Web from LinkedIn, and Natural Language Processing with Classification and Vector Spaces from DeepLearning.AI. Maha has also received certifications in Building Deep Learning Applications with Keras 2.0, Building and Deploying Deep Learning Applications with TensorFlow, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Spark for Machine Learning & AI, Intro to Python for Data Science, Intro to SQL for Data Science, Introduction to R Course, Convolutional Neural Networks, Deep Learning Specialization, Hadoop Foundations - Level 1, Programming for Everybody (Getting Started with Python), Sequence Models, Structuring Machine Learning Projects, Introduction to Git for Data Science Course, Introduction to Big Data, The Data Scientist’s Toolbox, and Big Data Foundations - Level 1.

Based on the provided information, Maha Amami's education and certifications demonstrate a strong focus on computer sciences and deep learning applications, emphasizing their dedication to staying up-to-date with the latest technologies and advancements in their field.