Alae K. Alaekichi

As a data engineer with four years of experience, i work with large-scale data pipelines and cloud platforms to deliver data solutions for various clients. I leverage my skills in data science, machine learning, and Spark to design, develop, and optimize data models, algorithms, and applications that address business problems and generate insights. Some of the projects I've been involved in include building a real-time dashboard for air quality monitoring, implementing a recommender system for an e-commerce platform, and enhancing a natural language processing tool for sentiment analysis.

I have a strong academic background in mathematics, statistics, and data science, with a dual degree in Statistical Engineering and Data Science from Sorbonne University and ISUP, and a specialized Master's degree (Bac +6) in Big Data from the ENSEEIHT School and INSA TOULOUSE School (VALDOM Master). I'm passionate about learning new technologies and techniques in the data field, and I'm always eager to apply them to real-world challenges. I'm also keen on sharing my knowledge and experience with others, and I maintain a website where I showcase some of my data science projects: [URL MASQUÉE].

I'm looking forward to potential collaborations and opportunities to contribute to your projects with my data engineering and data science skills. I'm motivated by creating value and impact with data, and I'm driven by curiosity and innovation. I'm also a team player who enjoys working with diverse and talented people, and I value feedback and communication. Please feel free to contact me if you're interested in my profile. Thank you for your consideration.