Mariem Jelassi

My roles and responsibilities include:

• Data mining or extracting usable data from valuable data sources 
• Using machine learning tools to select features, create and optimize classifiers 
• Carrying out preprocessing of structured and unstructured data
•  Enhancing data collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis 
• Analyzing large amounts of information to find patterns and solutions 
• Developing prediction systems and machine learning algorithms
•  Presenting results in a clear manner 
• Propose solutions and strategies to tackle business challenges 
• Collaborate with Business and IT teams

During my experience at Bell Canada, I had an extensive range of responsibilities including selecting features, optimizing classifiers, mining data, expanding the company's data by incorporating third-party sources, improving data collection techniques, processing data, and doing dashboard and analyses. As a Data Scientist, I was required to have excellent communication skills, understanding of algorithms, excellence in python and SQL, and excellence in applied statistics. I applied these skills daily and performed exceptionally at the company.

My abilities as a Data Scientist are rooted in a sturdy education in mathematics. I began with a bachelor's degree in science. I followed this with 2 master's degree (1. in sciences and 2. in machine learning).

I attribute my success as a Data Scientist in large part to this extensive and in-depth education. I believe my personality has also played a major role in my ability to succeed in this career. I am an extremely analytical, data-oriented, and calculated.

Even in my personal life, I like to look at the data before making a decision. I like to analyze outcomes.