Suraj Karakulath

I am an AI Data scientist with a background in marketing. I started off in copywriting, then grew into “content” and strategy development, while also handling data analytics and measurement. Over 8 years, I got to work with some leading tech enterprises and startups specialising in computer vision, artificial intelligence, geospatial data analytics and conversational AI/chatbot development, which inspired me to formally move into Data Science.

I grew up in India, lived and worked in Singapore for 16 years and now I’m based in Germany.

My specialties include:

• Data mining, data exploration and statistical modeling
• Machine learning (supervised and unsupervised)
• Deep learning
• Natural language processing
• Time series analysis and forecasting
• Data visualisation

Tools/skills that I work with:

• General programming: Python, R
• IDE: Visual Studio, RStudio, Cursor, Jupyter Notebooks
• General data science and ML: pandas, numpy, scikit-learn, statsmodels, NLTK, Spacy, XGBoost,
• Deep learning: PyTorch
• Database: SQL, BigQuery, Snowflake
• Cloud: Google Cloud Platform, AWS
• Version control: Git, GitHub
• NLP: HuggingFace transformers, OpenAI GPT models, LangChain, LlamaIndex
• Data visualisation: matplotlib, seaborn, plotly for packages and other specialised tools: Tableau, Google Data Studio (Looker Studio), PowerBI, Streamlit
• Web analytics: Google Analytics, Search Console, Adobe Analytics, HubSpot

Some projects that I did for work include a time series forecasting study in non-transparent markets using ARIMA, XGBoost and Prophet for a market-leading energy supplier in Germany, an unsupervised clustering of website audiences into different segments and an attempt at quantifying global temperature rise from climate change data .

Some sideprojects that I had fun with include an interactive visualisation of audio features of The Beatles songs using Spotify API, another interactive visualisation of characters’ sentiment from the scripts of the Star Trek (original) series and an analysis to detect political bias in ChatGPT responses using NLP.

My other interests include technology, cinema and film history, music, politics, psychology and science.

When I’m not working, I’m usually

• travelling (mostly Europe now since I am here)
• reading (non-fiction - psychology, science, humanism; fiction - classics)
• watching films (classics - a bit obsessed with Danny Boyle and Aaron Sorkin these days) or checking out what’s on at local arthouse theatres
• learning German
• or catching up with friends