Suraj Karakulath

I am a Data scientist with a background in marketing. I have worked primarily in content, strategy and product, while also handling data analytics and measurement. I have also provided independent consulting for startups specialising in computer vision, artificial intelligence, retail, geospatial data analytics and conversational AI/chatbot development.

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
• Data modeling
• Machine learning
• Deep learning
• Natural language processing
• Time series
• Data visualisation

Tools/skills that I work with:

• General programming: Python R
• IDE: Visual Studio, RStudio
• General data science and ML: pandas, numpy, scikit-learn, statsmodels, NLTK, Spacy, XGBoost
• Deep learning: PyTorch
• Database: SQL, BigQuery
• 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