| Banking | Analytics pipeline, data lake, prediction models, optimisation, recommenders | 
      | Cybersecurity | NLP pipeline, custom models | 
      | E-commerce | Analytics pipeline, policy optimisation, low-latency recommenders, visualisation | 
      | Engineering | Cloud scale-out and real-time operational dashboard of data platform | 
      | Fintech | NLP pipeline, RaG, performance optimisation | 
      | Health care | Schedule/route optimisation, data visualisation | 
      | Logistics | Operational backend | 
      | Recruitment | NLP/Machine Vision models, data normalisation, custom annotation | 
      | Retail | Markdown optimisation | 
      | Transportation | Reingineering for scale and performance | 
      | Wearables | MLOps, orchestration, process optimisation | 
      | Web analytics | Pageview analytics, workflow orchestration, pipeline optimisation | 
    
    
      | Machine Learning | PyTorch, TensorFlow, scikit-learn, LightGBM, XGBoost, MLflow | 
      | NLP, CV & AI |  HuggingFace, spaCy, OpenCV, LangChain, SBERT, FAISS | 
      | Statistical models | PyMC, CausalPy, EconML, statsmodels | 
      | Optimisation | PuLP, CVXOPT, Gurobi, HiGHS, MiniZinc, Gecode | 
      | Data Visualisation | Tableau, Looker, D3.js, Folium, Leaflet | 
      | Proto / Low-code | Streamlit, Gradio, Retool | 
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      | Analytics | Spark (Python, Scala, Java), Delta Lake, Redshift, Athena, BigQuery | 
      | Orchestration and infra | Airflow, AWS Batch, K8s, Terraform, GitHub CI/CD, Gitlab CI/CD, Codeberg CI | 
      | Python data | Polars, Pandas, DataFusion, NumPy, SciPy | 
      | Streaming & real-time | Kafka, Kinesis, Arroyo, Redis | 
      | Scraping & extraction |  BeautifulSoup4, Selenium | 
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      | Python backends | FastAPI, Flask | 
      | C++ | Eigen, RocksDB, boost.asio, pybind11 | 
      | Rust | Tokio, axum, PyO3 | 
      | JS I/O microservices | Node.js | 
      | Go backends | Gin, gRPC | 
      | Scala backend | Play |