I am a Senior Data Scientist, currently leveraging Azure for Data Science, Engineering, and Machine Learning at scale, while creating
enterprise tools for Microsoft’s VIVA (formerly Workplace Analytics) team at LCG.
At LCG, in my role as a Senior Data Scientist, I have led numerous impactful projects. My achievements include
designing and executing a data-driven win-back campaign using Snowflake databases and Snowpark infrastructure, resulting in a
significant 62.10% increase in campaign revenue. I have also been instrumental in reducing the cold start problem of a data product
by 25%, accomplished by creating and translating UML diagrams into an Amazon Redshift database schema. Additionally, I played a key
role in refactoring and optimizing 21 PySpark & Scala notebooks, which led to a 10% reduction in latency and adapted the codebase for
Azure Synapse Analytics. Furthermore, I enhanced the performance of four recommender systems in production by an average of 60%,
by transitioning from a collaborative-filter approach to a more effective hybrid model incorporating a content-based approach.
In addition to my role at LCG, I am also the Co-founder & Chief Technology Officer at
CarWiz.ai since September 2022. In this capacity, I am at the forefront of
conceptualizing, designing, and developing the CarWiz platform. My work involves integrating cutting-edge AI and machine learning
technologies for personalized car selection, steering the technological strategy and fostering innovation within the automotive tech
sector. My responsibilities encompass a spectrum of roles including full-stack development, AI and machine learning implementation,
product management, data analysis, and optimization. Additionally, I focus on creating a user-friendly interface, ensuring a seamless
experience for our users. I actively collaborate with various stakeholders, aligning technological development with broader business
goals, while continually staying updated with the latest trends in AI, machine learning, and the automotive industry.
My journey in data science spans a variety of experiences, from implementing and deploying machine learning models to managing entire
machine learning pipelines. I oversee project workflows, incorporate third-party data sources, mentor junior team members, and
effectively communicate complex findings to diverse audiences, both technical and non-technical.