Firas Tlili

• Led an Omdena Local Chapter in Tunisia, organizing and managing a team of volunteers to collaborate on social impact projects and mentoring individuals to develop their skills in data science and machine learning.

• Managed and collaborated with a team in implementing a solution to detect olive leaf disease with deep learning, deploying the solution into the Google Cloud, and making a mobile application with React Native that helped farmers save 5000$/year.

• Coordinated with project stakeholders, including non-profit organizations and other social impact partners, to identify project goals, requirements, and constraints, resulting in the delivery of meaningful solutions that addressed real-world problems.

Completed the WorldQuant University Data Science Lab, a rigorous online program that provided comprehensive training in data science and machine learning concepts, tools, and techniques. Gained practical experience in data wrangling, exploratory data analysis, feature engineering, model selection, and predictive modeling through hands on projects and exercises. Developed a strong foundation in programming languages such as Python and R, as well as familiarity with popular data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, and TensorFlow. Applied data science principles to real-world problems, demonstrating a strong understanding of the value of data-driven decision-making and the importance of ethical considerations in data science.

Engineered and meticulously trained a cutting-edge custom deep learning model using YOLOv5, attaining an exceptional level of accuracy in detecting soccer highlights. Achieved an extraordinary 90% enhancement in the accuracy of the model, revolutionizing its performance and delivering highly precise results. Designed and developed a highly efficient automated Python script capable of extracting impactful highlights from lengthy videos. Leveraging advanced algorithms, the script successfully condensed 90-minute videos into concise, engaging 5-minute summaries. Implemented cost-reduction strategies that resulted in a substantial 40% decrease in overall expenses. by conducting thorough analysis and identifying areas for optimization, successfully streamlined processes, negotiated favorable contracts, and implementing efficiency measures. Engineered and deployed a powerful web application that revolutionized the highlight extraction process, reducing the time required from over 3 hours to a maximum of 3 minutes.