hey, I'm kaarthik

I'm a data engineer with a knack for AI and a passion for open source. Transforming data into smart solutions is what I do best, I currently work at Laybuy as an analytics engineer within the data & analytics team.

I mostly work with Snowflake and Streamlit , tapping into their potential for my projects. open source is a key area of my work, offering opportunities for collaboration and innovation. A career highlight for me was winning the AI snowflake streamlit hackathon in 2023, a reflection of my commitment to cutting-edge data & AI solutions

I honed my expertise in data science at the university of canterbury where I completed my master of applied Data Science, delving into the intricacies of data analysis and machine learning.

My professional odyssey in the tech universe has been nothing short of extraordinary. Atlaybuy, I spearheaded the transformation of data landscapes, orchestrating a seamless migration from Redshift to the more dynamic Snowflake. My role wasn't just about managing data; it was about redefining how we interact with it, from elevating BI dashboards to architecting a state-of-the-art Recommendation Engine that revolutionized the Laybuy App experience.

Before Laybuy, at stats NZ, I dived deep into the world of data, unraveling insights from a massive 40TB trove of global news data. My journey here wasn't just about data analysis; it was a quest to understand global narratives, shaping Covid-19 recovery indicators that informed national strategies. My initiation into the data realm began at freightways information service, where I wielded data modeling like a maestro, turning raw numbers into business symphonies. From dissecting customer behaviors to predicting churn, my internship was a crucible that forged my analytical acumen. My career tapestry weaves together these diverse experiences, each thread representing a leap towards the forefront of data innovation and AI-driven solutions.

My current tech stack, where I spend most of my time -