Ardonis Shalaj

I am a dynamic Tech and Data enthusiast with diverse experience across multiple industries. With technical expertise in data analysis and engineering, coupled with strong business acumen, I provide insightful solutions that drive growth and efficiency. I've guided major companies in their digital transformation, led strategic conversations, and implemented data-driven solutions.

I have worked across the pharmaceutical, financial, and automotive industries, specializing in AI, data science, and machine learning. At Biogen, I focused on data optimization and AI integration. Before that, at Setec, I worked on matching algorithms and computer vision models, and at MyBank, I developed anomaly detection models for transaction monitoring. At Toyota Belux, I contributed to the 2024 marketing strategy by analyzing customer behavior and optimizing retention.

I am skilled in AI/Data Science, Python, SQL, Power BI, Azure and AWS, with certifications in MLOps and Generative AI. I hold a Business Engineering degree from ULB - Solvay Brussels School of Economics and Management.

In my most recent role, I contributed to optimizing data pipelines and improving the quality of extracted data from Contentful for classification models. I performed data validation between Snowflake and Power BI to ensure accuracy and consistency. Additionally, I supported the team by enhancing the tagging model to better handle unseen cases. I developed UAT applications using PowerApps to facilitate the collection of new training data. Furthermore, I implemented GenAI capabilities in Power BI reports to support data preprocessing and made advanced NLP analytics, enhancing the management of user queries. Finally I analyzed the relationship between sales and engagements data to find key influencers.