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 to answer investment-related questions. Built a chatbot to retrieve relevant news articles based on public opinion. Contributing to the early development of a new product at my previous company.
Stack: Python, Transformers, Hugging Face, OpenAI, ChromaDB
PaperEngineered features, visualized trends, and built predictive models to forecast market shifts. Added Reddit sentiment analysis to support insights.
Stack: Python, Pandas, Plotly, Reddit API
GitHubBuilt a real-time scraping pipeline to collect and structure Instagram post data. Enabled internal teams to analyze marketing signals.
Stack: Python, Selenium, MySQL
Developed a data pipeline to parse social media and forecast public sentiment. Detected early sentiment shifts before trends spiked.
Stack: PySpark, MongoDB, Dash, NLTK
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