Bemsibom Toh

Bemsibom Toh is a highly experienced individual with a background in developing statistical theories and applying statistical techniques to various real-world problems. With over five years of experience, Bemsibom has worked on projects involving anonymized patient health records, autonomous vehicle sensor fusion, natural language processing, time series, and geospatial data. Holding a PhD in Statistics, Bemsibom currently serves as a Research Associate at the University of Cambridge, collaborating with clinicians to analyze multi-morbidity patterns and patient outcomes. Eager to transition into a data scientist role in industry, Bemsibom seeks to leverage academic and applied expertise, along with mentoring experience, in a commercial setting. Proficient in Python and R, with skills in scikit-learn, seaborn, matplotlib, bokeh, nltk, NumPy, SciPy, pandas, and geopandas, Bemsibom also has intermediate skills in SQL and expertise in version control using Git and GitHub. Previous projects include NLP text processing for contract tenders, network routing optimization for a telecoms company, and lidar/radar sensor fusion for autonomous vehicles.