About 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.
Experience
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.
Education
- 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.
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