I clean and transform data, explore patterns, engineer features, and build machine-learning models and dashboards that turn business questions into actionable insights. Outside of work, I’m a drummer in a local band.
Fine-Tuned a BERT model for subjective reasoning. Built a chatbot to retrieve relevant news articles based on public opinion. Collaborated with Orcawise for a new product.
PaperEngineered features, visualized trends, built and compared predictive models to forecast market shifts. Added Reddit sentiment analysis to support insights.
GitHubBuilt a real-time scraping pipeline(SQL, Selenium, BeautifulSoup) to collect and structure Instagram post data. Enabled internal teams to analyze marketing signals.
Develooped a data pipeline to parse social media and forecast public sentiment. Detected early sentiment shifts before trends spiked with the help of Neural Networks.
GitHub“Kagan was fully committed during his time at Orcawise. He gained hands-on experience in data engineering, visualisation, NLP, fine-tuning, and prompt engineering. He’s a strong communicator and supported peers at AI networking events. We’re happy to recommend him.”
– Kevin Neary, CEO at Orcawise
“Kagan worked with me while I mentored him at Orcawise. He’s hardworking, asks smart questions, and consistently delivers. He has strong skills in data visualisation, NLP, LLMs, data scraping, and SQL. He’d be a valuable asset to any team.”
– Sanpreet Singh, Head of AI at Orcawise