Susmita Hamal

Recent postgraduate with a Master in Data Science relevant experiences working as a self-motivated data scientist, familiar with both qualitative and quantitative data. Along with statistical background, I possess knowledge and skills in data cleaning, preprocessing, visualization, feature engineering, modelling and predicting. With scripting languages such as python and SQL, I am capable of creating, analyzing and testing applications.

Further, I have worked in various organisations and acquired project management, coordination, collaboration, networking and leadership skills.

Worked more than 3 years in data analysis and 1 year as data scientist.

Data: Data Cleaning, Data Pre-processing and Data Visualization techniques for building the application and research purpose at Seclea.

Models: Various Machine Learning models, including Deep Learning models, were used for building applications at the Seclea platform.

Software: I have used SPSS, STATA, PowerBI and Microsoft Excel for analyzing and presenting research data.

Languages: Python, Scikit learn, and SQL to implement data analysis for the building application and research.

Libraries: Familiar with using NumPy, Pandas, and PyTorch, and uses PyCharm, google collab and Jupiter notebook for running python programs.

• Masters in Data Science

University of Gloucestershire, Cheltenham, Gloucestershire (2021-2022)

(Nominee for best students and innovation research) Recipient of OfS Scholarship

Core subjects: Python, Data Analysis, Business Analysis, Research Methodology, Machine Learning

Dissertation: A comparative study of image data analysis using various Machine Learning (ML)

Models: A case study of Covid-19 patient’s data.