Kasserine,
Tunisia
(
GMT )
Über
Business mind data scientist and Full-stack web developer , who is able to conduct data projects and build web applications. I began my career in automotive industry and logistic. So I'm familiar with the sort of fast-paced and intense environment . My background in industrial engineering and my experience give ma an advantage to easy understand business use cases and transform them into data and web solutions. I started my journey as data scientist three years ago when I pursued an online master with CentralSupelec Paris . I got the opportunity to work on many data science projects which resolve a real business problems. Besides, I've been a data science competitor in many kaggle competitions. I got the opportunity to work on dozens of kaggle projects, covering NLP, Computer vision and time series. This allowed me to strengthen my skills in modeling using machine learning , also in extracting valuable insights using data analysis tools. Lately I joined microverse , where I got the opportunity to work remotely and asynchronously with people across different time zones to build web applications using JavaScript, React, Redux, Ruby, Rails, API REST... microverse is a good training for real life working in remote environment. It was a daily self-discipline to learn new technologies, collaborating with people through stand up team meetings and pair-programming sessions to discuss about project requirements that we need to approve after a long process of pull request reviews.
Business mind data scientist and Full-stack web developer , who is able to conduct data projects and build web applications. I began my career in automotive industry and logistic. So I'm familiar with the sort of fast-paced and intense environment . My background in industrial engineering and my experience give ma an advantage to easy understand business use cases and transform them into data and web solutions. I started my journey as data scientist three years ago when I pursued an online master with CentralSupelec Paris . I got the opportunity to work on many data science projects which resolve a real business problems. Besides, I've been a data science competitor in many kaggle competitions. I got the opportunity to work on dozens of kaggle projects, covering NLP, Computer vision and time series. This allowed me to strengthen my skills in modeling using machine learning , also in extracting valuable insights using data analysis tools. Lately I joined microverse , where I got the opportunity to work remotely and asynchronously with people across different time zones to build web applications using JavaScript, React, Redux, Ruby, Rails, API REST... microverse is a good training for real life working in remote environment. It was a daily self-discipline to learn new technologies, collaborating with people through stand up team meetings and pair-programming sessions to discuss about project requirements that we need to approve after a long process of pull request reviews.
Erfahrung
■ Compete in kaggle competitions , to solve problems in the data way of many companies and associations around the world. ■ Kernels Expert, Highest Rank: 998 . Repeatedly earn medals as a result of dozens upvotes of my kernels from non novice kagglers.
■ Created internal VBA application to track stock and transfer between warehouses, reducing shortage by about 40% and loss by about 90%. ■ Implement a new warehousing system and layout , allowing to reduce order time preparatory by about 40%.
■ Regularly treat quality customer claims , using communication skills,empathy,crisis management to deal with choosy customers (Renault). ■ Weekly communicate an action plan to other process support, leveraging my skills to deal and coordinate with a multidisciplinary team, allowing me to maintain internal PPM under the expected goal.
Ensure technical changes implementation , leveraging my skills to coordinate with different teams and monitor action plans.
■ Promoted in one year as a result of new successful methods , increasing productivity by about 20%, reducing outstanding stock by about 30% and optimizing space by about 30%.